Network Singularity
The Future of Networks
The Network Singularity



Join Bizzabo for KM2014. Colabria Action Research network actors are using this leading networking platform for 21st Century Knowledge Management. All are welcome and encouraged to join.

Colabria Bizzabo Today

“Best iOS & Android App of 2013”Information Week

Bizzabo uses social media to reveal and serve highly interactive event communities. You will really like it. Besides, with a name like Bizzabo, you really must give it a spin.

Your direct Bizzabo benefits are revealing new connections, creating productive edges, engaging directly with KM2014 delegates and uncovering meaningful new business opportunities. Bizzabo is emblematic of 21st Century KM

21st Century KM

Knowledge Management (KM) is experiencing a major 21st Century pivot. Coined in Silicon Valley, the term business pivot is a structured course correction. It’s the adoption of fundamentally new principles and hypotheses concerning business offerings, techniques, methods and outcomes. It’s long overdue. 

21st Century KM

In today’s post-industrial  and post-informational society, KM is enjoying a stunning renaissance. Knowledge creation and innovation are leading many of the modern priorities of business, government and civil society.

The stale project and information-based KM of the past has been replace by an exciting, people-centered, focus-on-the future. The information museums of 1990s legacy KM are being retired by fast-moving, social engines of innovation and prosperity.

Nowhere is this more apparent than in Northern California. ‘'Nor Cal’ is often cited as the birthplace of modern organizational knowledge management (KM). Many see the dramatic KM pivot as a return to the original principles of KM shaped at Berkeley, Stanford Research Institute, Hewlett-Packard and other Northern California institutions more than a generation ago.

Unfortunately, starting in the mid-1990s, KM was hijacked by hungry information technology (IT) vendors, old-school industry consortia and unscrupulous consultants. They were eager to cash-in on the ever-expanding deployment of Internet applications, enterprise process management and the seismic organizational changes of the late 20th Century.

Colabria 1990s

Most all of their information-based, project-oriented portal and repository logic delivered comprehensive failures. They trampled on the principles of authentic KM. It was a costly mistake for business. Fortunately these IT disasters of the 1990s called KM lasted about as long as the Spice Girls, Tamagotchi and curtained haircuts.

All these 1990s IT boondoggles masquerading as KM had two common defects – technology-centrism and the clinical preoccupation with process and measurement. The mantra of the time was, ‘Don’t Automate, Obliterate!’ (Champy + Hammer)

Meanwhile, the absolute foundation of all effective KM, socialization, wasn't ‘discovered’ by counterfeit KM people and glib business pundits until a decade later. Most the damage was done. It was a painful and difficult time for Authentic KM.

When the new Millennium rolled around, people began to embrace the all-important KM founding principle of socialization. They quickly came to accept the profound social reorientation of work, productivity, innovation and prosperity. When Colabria Action Research convened the world’s first ‘Social Media’ conference in London the die was cast.

Remember back in the early 2000s when smarmy pundits began attaching social to everything under the sun? It was unfortunate, but also fortuitous. Finally, Authentic KM was back. 21st Century KM was born!

retreadStill, in 2014, the moldering KM Establishment is clinging to the vestiges of their 1990s IT-led fiascoes. Unbelievably, their conferences and confabs are often simply a re-tread of the failed legacy IT initiatives of the 1990s. It seems the social revolution has furnished yet another excuse for more centrally-controlled, technology-based, IT failures called KM.   

For example, in an era when Wikipedia is The Top Source Of Health Care Info For Doctors it is safe to retire all the KM nonsense concerning IT, sharing, culture, applications, architectures, training, certification and, above all, the soaring farce of KM Standards.

Of course the KM Establishment has long since abandoned California and Silicon Valley and vice-versa. The project-centered, command-and-control, document-centered and information-based KM hubris really never fit the people-centered birthplace of KM. However, in 2014 and beyond the Northern California traditions of entrepreneurship, startup finance, evolutionary development and disruptive innovation will again achieve fundamental and perpetual advancements for 21st Century KM. 

Colabria applauds the dramatic KM pivot. Global network actors are rapidly advancing the KM pivot. It is time to take back KM. Join 21st Century KM to Create the Future!

Colabria EET


Sahana Chattopadhyay has thoughtfully modulated the well-known Cynefin Framework for heutagogy or self-determined learning. The current version is below.

3-15-2014 6-19-31 AM

Self-determined learning and distributed phronesis are essential planks of 21st Century Knowledge Management (KM). To refract and anneal self-directed and organizational learning vis-à-vis existing frameworks is an important contribution.

Sahana asked for feedback.

Several elements are absent and need to be added to comport with 21st Century KM. For example, the singular mission of networks and organizations in the Creative Economy, The Knowledge Era, The Connected Age, etc., is perpetual knowledge creation, development and creating the future. Recall,  heutagogy is the deliberate creation of new knowledge, by definition. Thus, the following adjustments are urged.

For example, see Training versus Development.

Firstly, the activity of learning implies knowledge creation and evolutionary development. However, for heutagogy and 21st Century KM it must be stated precisely and with certainty. In addition, it is essential to add learning from the emerging future. Therefore, the definitive focus and elaboration of knowledge creation, development and the future will cohere the Heutagogy Framework. It will then align with 21st Century KM.

Secondly, the proposed Heutagogy Framework uses the term 'culture of participation.' Too often ‘participation’ is a simple corporate code word for compliance and cooperation. Thus, to align with 21st Century KM, ‘culture of participation' must be improved. Some suggestions are -

  • 'Culture of Creation'
  • 'Culture of the Future'
  • 'Culture of Development' 

Thirdly, knowledge creation is a continuous activity. It is harmful to claim one type of knowledge inhabits one quadrant and not another. Recall, knowledge and doing are inseparable.


For example, procedural 'best practices' are capable of generating great tacit insight. Meanwhile, ‘Emerging Insight’ can be quite specific and concrete. In short, the highly pedestrian, Western-Cartesian mindset and notion of knowledge must not corrupt the Heutagogy Framework.

Furthermore, it is important not to allow the failed KM Establishment to co-opt or exploit heutagogy for their continued misuse of training, information technology and counterproductive 'learning management systems' (LMS). The failed, 20th Century KM approach of mechanistic applications, measurement, projects and processes must give way, be retired. The command-and-control and program-orientation approach of waning KM Establishment must transform and pivot to cultivate-and-coordinate. KM is about creating the future… not creating information museums

Like heutagogy, 21st Century KM is truly self-directed learning. Future-focused, authentic KM is learning how to learn, KM expands double loop, universal learning opportunities.  21st Century KM is the critical and perpetual, non-linear knowledge creation network activity.   


Colabria Action Research encourages your comments and improvements. All are looking forward to the next version, the Heutagogy Framework 2.0!

Colabria EET

Social Media & Society Conference

3-10-2014 4-39-58 PM

Social Media & Society Conference
September 27-28, 2014
Toronto, Canada


We live in an era of “Big Data”. Petabyte and exabyte-size datasets are becoming increasingly common. Much of the data is coming from social media in the form of user-generated content. What do we do with all of these “social” data and how do we make sense of it all? What are the inherent challenges and issues surrounding working with social media data? How are social media platforms and the data that they generate changing us as individuals, changing our organizations and changing our society? Additionally what are the political, ethical, privacy, and security implications of the wide availability of these data? These are just a few questions that we have for this year’s participants of the 2014 Social Media & Society Conference (#SMSociety14).

The Social Media & Society Conference is an annual gathering of leading social media researchers from around the world. Now, in its 5th year, the 2014 Conference will be held in Toronto, Canada from September 27 to 28. From its inception, the conference has focused on the best practices for studying the impact and implications of social media on society. The conference offers an intensive two-day program comprising of paper presentations, panel discussions, and posters covering wide-ranging topics related to social media. Organized by the Social Media Lab at Dalhousie University, the conference provides attendees an opportunity to exchange ideas, present their original research, learn about recently completed and work-in-progress studies, and strengthen connections with their peers. Last year’s conference hosted nearly 200 attendees, featured research from 90+ scholars and practitioners across several fields from over 60 institutions in 15 different countries.

Social Media & Big Data

- Visualization of Social Media Data

- Social Media Data Mining

- Scalability Issues and Social Media Data

- Social Media Analytics

Social Media Impact on Society

- Private Self/Public Self

- The Sharing/Attention Economy

- Virality & Memes

- Political Mobilization & Engagement

- Social Media and Health

- Social Media and Business (Marketing, PR, HR, Risk Management, etc.)

- Social Media and Academia (Alternative Metrics. Learning Analytics, etc.)

- Social Media and Public Administration

- Social Media and the News

Theories & Methods

- Qualitative and Quantitative Approaches

- Opinion Mining and Sentiment Analysis

- Social Network Analysis

- Theoretical Models for Studying, Analysing and Understanding Social Media

Online/Offline Communities

- Trust and Credibility in Social Media

- Online Community Detection

- Influential User Detection

- Online Identity

- Case Studies of Online and/or Offline Communities Formed on Social Media

3-10-2014 4-39-58 PM

Complexity Digest

2152014120844PM_thumb.jpg Lavender Mist
Jackson Pollock


Information Evolution in Social Networks

Social networks readily transmit information, albeit with less than perfect fidelity. We present a large-scale measurement of this imperfect information copying mechanism by examining the dissemination and evolution of thousands of memes, collectively replicated hundreds of millions of times in the online social network Facebook. The information undergoes an evolutionary process that exhibits several regularities. A meme's mutation rate characterizes the population distribution of its variants, in accordance with the Yule process. Variants further apart in the diffusion cascade have greater edit distance, as would be expected in an iterative, imperfect replication process. Some text sequences can confer a replicative advantage; these sequences are abundant and transfer "laterally" between different memes. Subpopulations of the social network can preferentially transmit a specific variant of a meme if the variant matches their beliefs or culture. Understanding the mechanism driving change in diffusing information has important implications for how we interpret and harness the information that reaches us through our social networks.

Predicting Crowd Behavior with Big Public Data

With public information becoming widely accessible and shared on today's web, greater insights are possible into crowd actions by citizens and non-state actors such as large protests and cyber activism. We present efforts to predict the occurrence, specific timeframe, and location of such actions before they occur based on public data collected from over 300,000 open content web sources in 7 languages, from all over the world, ranging from mainstream news to government publications to blogs and social media. Using natural language processing, event information is extracted from content such as type of event, what entities are involved and in what role, sentiment and tone, and the occurrence time range of the event discussed. Statements made on Twitter about a future date from the time of posting prove particularly indicative. We consider in particular the case of the 2013 Egyptian coup d'etat. The study validates and quantifies the common intuition that data on social media (beyond mainstream news sources) are able to predict major events.

Predicting Crowd Behavior with Big Public Data Nathan Kallus

Autonomous drones flock like birds

A Hungarian team has created the first drones that can fly as a coordinated flock. The researchers watched as the ten autonomous robots took to the air in a field outside Budapest, zipping through the open sky, flying in formation or even following a leader, all without any central control.

Damage spreading in spatial and small-world random Boolean networks

The study of the response of complex dynamical social, biological, or technological networks to external perturbations has numerous applications. Random Boolean networks (RBNs) are commonly used as a simple generic model for certain dynamics of complex systems. Traditionally, RBNs are interconnected randomly and without considering any spatial extension and arrangement of the links and nodes. However, most real-world networks are spatially extended and arranged with regular, power-law, small-world, or other nonrandom connections. Here we explore the RBN network topology between extreme local connections, random small-world, and pure random networks, and study the damage spreading with small perturbations. We find that spatially local connections change the scaling of the Hamming distance at very low connectivities ($\bar{K} << 1$) and that the critical connectivity of stability $\bar{K}$ changes compared to random networks. At higher $\bar{K}$, this scaling remains unchanged.

We also show that the Hamming distance of spatially local networks scales with a power law as the system size $N$ increases, but with a different exponent for local and small-world networks. The scaling arguments for small-world networks are obtained with respect to the system sizes and strength of spatially local connections. We further investigate the wiring cost of the networks. From an engineering perspective, our new findings provide the key design trade-offs between damage spreading (robustness), the network's wiring cost, and the network's communication characteristics.


Introduction to Computational Social Science: Principles and Applications

This reader-friendly textbook is the first work of its kind to provide a unified Introduction to Computational Social Science (CSS). Four distinct methodological approaches are examined in detail, namely automated social information extraction, social network analysis, social complexity theory and social simulation modeling. The coverage of these approaches is supported by a discussion of the historical context, as well as by a list of texts for further reading. Features: highlights the main theories of the CSS paradigm as causal explanatory frameworks that shed new light on the nature of human and social dynamics; explains how to distinguish and analyze the different levels of analysis of social complexity using computational approaches; discusses a number of methodological tools; presents the main classes of entities, objects and relations common to the computational analysis of social complexity; examines the interdisciplinary integration of knowledge in the context of social phenomena.


Networks of Networks: The Last Frontier of Complexity 

The present work is meant as a reference to provide an organic and comprehensive view of the most relevant results in the exciting new field of Networks of Networks (NetoNets). Seminal papers have recently been published posing the basis to study what happens when different networks interact, thus providing evidence for the emergence of new, unexpected behaviors and vulnerabilities. From those seminal works, the awareness on the importance understanding Networks of Networks (NetoNets) has spread to the entire community of Complexity Science. The reader will benefit from the experience of some of the most well-recognized leaders in this field. The contents have been aggregated under four headings; General Theory, Phenomenology, Applications and Risk Assessment. The reader will be impressed by the different applications of the general paradigm that span from physiology, to financial risk, to transports. We are currently making the first steps to reduce the distance between the language and the way of thinking of the two communities of experts in real infrastructures and the complexity scientists. Although this path may prove to be long, it is extremely promising, both in extending our understanding of complex systems and in finding concrete applications that can enhance the life quality of millions of people.

- Gottfried Mayer, Founding Editor
- Carlos Gershenson, Editor-in-Chief
Complexity Digest Subscriptions

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crowdfund graph analytics For justice

2-26-2014 4-20-53 AM

A crowdfunded project from Stanford aims to use graph technologies to better understand international justice. Like Linkurious, you can support this research project and help scientists.

You can help apply graph analytics to shed light on the way justice works

The justice system is not the most transparent and data friendly domain. Quite the contrary. That's why it's so exciting to see that researchers like Sergio Puig from Stanford and Enric Torrents from MIT are trying to bring data analysis techniques to legal studies. Can social network analysis and graphs help improve justice systems?

Can graph analytics help improve international justice systems? from Experiment on Vimeo.

This is not as crazy as it sounds. Justice systems can be represented as a graph. That graph is made of individuals, laws, organizations, courts, cases, documents and more. These nodes are linked by different kinds of relationships and form a network. While working on a project called Web of Law, Sergio Puig and Enric Torrents have proved that using graph analytics can bring some unsuspected insights (like the role of social capital in arbitration markets).

Today they launch a crowd-funding campaign to create a an open access graph database containing structured data from a growing number of courts and tribunals, customized tools, and a detailed log of analyses, discoveries and theses. If this project succeeds, it may have a profound impact on legal studies in the future. Researchers, journalists and everyone will access to open platform for legal data.

Graph-powered social change

What's really interesting about this project is that it's using state-of-the-art technology to help solve complex political issues. What exactly are the researchers hoping to find? Here are some of the potential applications :

· identifying the undue influence of power-brokers in international economic courts ;

· improving conflict checks and information disclosure ;

· understanding how legal philosophy and decisions spread from one court or country to another ;

Tweet this : Help improve justice with graph analytics #bigdata via @Linkurious

Bringing that information to light is no easy task. Legal institutions are not tech friendly and don't always welcome scrutiny on their own workings. The good news is that graph technologies can help sort out the complex heterogeneous data of the legal system. Graphs enable the discovery of emerging patterns and features otherwise unnoticed within the massive amounts of disjointed data generated by courts and tribunals — therefore shedding new, much needed light on the interactions of all players and constituent elements involved in law.

Linkurious is proud to be a part of this project

We had the honor of working with Sergio Puig and Enric Torrents on the Web of Law a while ago. We were thrilled when they asked us if we wanted to help them bring graph visualization to the legal world. If the crowd-funding succeeds, Linkurious will be used to access and visualize a vast repository of legal data.

We've made a specialty of helping people understand complex connected data. The graph of law is certainly challenging to explore. We hope that will Linkurious, it will be easier to :

· visualize the data ;

· extract information about hidden connections and patterns ;

· share it with other people ;

We can't wait to see this happen. Please help us support this cause and bring graph analytics to the world of international justice.


- Jean Villedieu

2-26-2014 4-23-06 AM

The New Brainstorming

Research into the practice of brainstorming has confirmed an important and overdue refinement that Colabria has advocated for years. The finding is that a hybrid model of brainstorming works best. Here is the brainstorming experiment.

Brainstorming Brainstorming Infographic

Hybrid Brainstorming is a much-needed refinement on the age-old practice.

People must remember performance and innovation originate from originality, network multiformity, conceptual blending, abduction, situated cognition, disequilibrium, serendipity, conversation, lateral thinking and a wide-range of other crucial nondeterministic behaviors and knowledge-based activities. This is called Authentic Knowledge Management (KM).

One continuous Colabria refinement for hybrid brainstorming is to pursue conversation not discussion. The vast majority of business interaction is discussion. It hurts productivity, stops innovation and stunts knowledge creation.

It is time to bring back conversation!

The root of discuss tells a  lot. It comes from Latin – discussus: struck asunder, shaken, scattered, to shake, strike, break apart. The modern root comes from Old French: examination, investigation, legal trial. Today’s meaning of discussion may be to ‘get to the bottom’ of something.

On the contrary, conversation is a dance, it is among equals, it is nondeterministic and creative. Mainstream, old-economy businesses and moldering government agencies seems to prefer discussion for command and control.

Meanwhile, the fast-emerging Creative Class pursues genuine conversation, plurality and sincere interactions to cultivate and coordinate disruptive productivity growth, well-being and prosperity. As the saying goes, Empathy is Innovation, Vulnerability is Power.  

Colabria compels organizations to pursue perpetual brainstorming. Brainstorming must not be the typical once-a-year charade at the management offsite; it must be done every day, maybe several times a day, especially by the rank-and-file! Why? It is Authentic KM and it works! See Good Business.


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Entrepreneurial Finance

Your next Entrepreneurial Finance Group Meetup is on Thursday 20 February 2014 from 6PM-9:00PM at The Vault in San Francisco. The theme is startup investment innovation and an introduction to Seed Change.

Confirmed Speakers:

     Kevin Smith
CEO, co-founder, SeedChange & The Vault

Nate Phillips
Co-founder, SeedChange & The Vault

On September 23, 2013 Title II of the JOBS Act lifted the ban on general solicitation by startups. Startups are now allowed to solicit their offerings. Simultaneously, there has been an explosion of innovation in entrepreneurial finance, e.g., seeComparison of Crowd Funding Services.

Among these disruptive innovations is Seed Change. Seed Change provisions investment access to curated tech startups. Seed Change will be introduced by your host Kevin Smith, Esq., founder & CEO. Kevin will be accompanied by his co-founderNate Phillips.


Seed Change allows accredited investors to discover, research and invest in tech startups already carefully selected and analyzed by a team of legal and investment pros. Seed Change eases and corrects problems with the chaotic 'bulletin board' style investment sites and methods such as email, newsletters and social media.

General questions and conversations on startup investing and entrepreneurial finance will be conducted and led by FINRA-certified professionals. (FINRA is the largest independent securities regulator in the U.S.A.)

Your Meetup venue is San Francisco's newest shared office space, The Vault, in historic Jackson Square.

The benefits to you are networking, building relationships, community and financial innovation for entrepreneurs, startups and investors.

Here is your agenda:

  • 6PM - 7PM - Welcome Reception - Wine, Beer, Snacks
  • 7PM - 8PM – Panel on Seed Change and Entrepreneurial Finance
  • 8PM - 8:30PM30-Second Lightening Round: Delegate Introductions
  • 8:30PM - 9PM – Adjournment and Networking

For more on your Entrepreneurial Finance Group see yourAbout Page.

RSVPs are limited so it's recommended you sign-up today. Delegates are asked to contribute  for Meetup expenses.

Your Meetup is sponsored by Colabria Action Research Networks.

Note: Nothing contained on this website or Meetup should be considered an investment recommendation.


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East Meets West KM

Many great management innovations over the last 40 years have originated in Japan. Total Quality (TQM), PDCA, Toyota Production System (TPS), Lean, and so on, are good examples. These innovations are the genesis and ancestors of almost everything we take for today's management. This includes modern and prevailing management practices for knowledge workers and KM.

Colabria East West KM

However, the East - West KM differences are striking. It is one reason it is very important to be highly suspicious of knowledge management systems (KMS).

The fact is Western KM is suffocating on ill-suited information technology. In Japan, there is only limited penetration or use of technology by knowledge workers. In short, here are the differences –

Colabria East West KM

- California Management Review
Spring 1998, Vol. 40 Issue 3

For example, the Western-style, deterministic KM efforts are often challenged or outright failures. Western-style, project-focused KM is very expensive, takes forever and does not produce positive outcomes.

Westerns culture does provide stunning innovation in information technology. Advancements in content syndication, discovery and retrieval are unmatched. Unfortunately, these disruptive breakthroughs in information technology are often corrupted by markets, vendors and pundits and called knowledge management. They are not.

The key Eastern principles of knowledge and authentic KM are lost on your average manager and KM professional. The Western mindset for knowledge and KM is rigid, pervasive and harmful. To them, the Eastern Focus is considered unserious, soft and valueless.

The most serious Western KM thinking defect is explained by Taiichi Ohno’s, the Father of the Toyota Production System (TPS), as follows: ‘To codify method is to impede understanding.

Most errant Western KM is technology-focused. It’s advanced by dubious Best Practices. Meanwhile, when thoughtful KM people do wish to share, they are met by inept moderation in KM email lists and discussion groups. Coercive, self-absorbed moderators enforce the overbearing KM focus on technology. It’s because they are wholly and objectively indifferent to the Eastern Focus for knowledge and KM.

For example, in Western KM, every few years, for over two decades now, a KM Standards farce arises. It is just another sterling example of KM's Western intransigence. Like so-called best practices, KM Standards are a widespread defect of Western thinking about knowledge and KM. Responsible business rejects these efforts.

However, one setting where failed Western KM methods are legion is in massive government bureaucracies and the vast corridors of state power. These failed approaches are doubly harmful for govt because they perpetuate ineffective bureaucracy. The govt absence of accountability and widespread institutional incompetence is the perfect setting for defective Western KM.  These methods assure the eternal life of moldering government agencies.

Simultaneously, the rise of social media, complexity, network analysis and The Social Enterprise positively demands the Eastern Focus for knowledge and KM.

Fortunately, the charade of Western thinking styles of knowledge and KM is revealed by the headlong flight to The Social Enterprise. People will now migrate to authentic, Eastern principles of knowledge and KM for the simple reason they have no other option, no other choice! It has been a long-time coming.

Just imagine if a group of enterprise knowledge workers tossed all their ridiculous portals, KMS, SharePoints etc., on the ash heap of history. (No one uses them anyway.) They would embrace the canon of Eastern knowledge and KM. Productivity and innovation would soar!

Fortunately, there is a place where the Eastern mindset of knowledge and KM is rampant: entrepreneurial startups. Startups are decidedly free of vast information repositories, portals, processes, methods and legacy technologies. By no coincidence they lead many advancements in learning, productivity, innovation and invention.

The East/West KM dichotomy is among the major themes of KM2014 in San Francisco on 2-3 April 2014.

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KM Stack Exchange Network

The KM Stack Exchange Network, also called KM StackExchange, is a question-and-answer site for knowledge management (KM). Please join today.

Colabria People

KM StackExchange questions, answers and users are subject to a reputation award process. KM StackExchange allows the sites to be self-moderating. KM StackExchange is modeled after Stack Overflow - a popular forum for computer programming questions. Please join today.


KM StackExchange solves a major problem the has plagued online KM groups for decades: foolish, unfair and inept KM moderation. Overzealous, self-appointed KM group moderators, with little or no KM experience or competency, make very poor moderators.

Trolls and KM dilettantes have hijacked virtually every public KM discussion group known. They wish to advance their own narrow agenda at the expense of authentic KM. Too often when incompetent moderators are unfamiliar with a KM topic, proven practice or innovation, they simple ignore, delete or prohibit the postings and comments.

KM StackExchange corrects malignant KM group moderation through a form of reputation management, gamification and self-moderation.KM StackExchange sets an outstanding example for KM worldwide. Please join today.

Stack Exchange Q&A site proposal: Knowledge Management

The consequences of universally poor KM Group moderation are manifold. Indifferent KM moderators have no interest in advancing KM. They shun many of the KM leaders. Worse, their online stunts make it impossible for ordinary people, managers and leaders to embrace KM. Some of the worst outcomes of their clumsy and amateurish KM online group moderation are:

  • Lack of any learning from the future
  • Overbearing, annoying focus on information technology
  • Profound disdain for KM foundations like systems thinking and phronesis

It is time to correct these defects. It is time for KM to set a global example. It is time for KM to be self-moderating. It is time for KM StackExchange.

KM StackExchange does not replace existing KM online groups. Those groups are for connection. KM StackExchange is specifically for collecting well-moderated KM questions and answers. Please join today.



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Mediterranean School of Complex Networks


 Colabria MSCx In the last decade network theory has been revealed to be a perfect instrument to model the structure of complex systems and the dynamical process they are involved into. The wide variety of applications to social sciences, technological networks, biology, transportation and economic, to cite just only some of them, showed that network theory is suitable to provide new insights into many problems.

The goal of the 1st Mediterranean School of Complex Networks will be twofold:

  • Provide a theoretical background to PhD students and young researchers in the field, with particular attention to current trends in Network Science.
  • Promote philosophical and scientific exchange between all participants, i.e., lecturers and attendants.

For this reason, the program will involve lectures from experts in different fields (social science, game theory, biology, neuroscience, etc) for 50% of the duration of the school. The remaining time will be dedicated to:

  • Flash talks given by attendants, followed by debates;
  • Thematic round tables involving lecturers and attendants.


  • Alex Arenas  ( Universitat Rovira i Virgili )
  • Javier Buldú  ( Universidad Rey Juan Carlos )
  • Mario Chávez  ( CNRS, Paris )
  • Manlio De Domenico  ( Universitat Rovira i Virgili )
  • Albert Díaz-Guilera  ( Universitat de Barcelona )
  • Clara Granell  ( Universitat Rovira i Virgili )
  • Sergio Gómez  ( Universitat Rovira i Virgili )
  • Jesús Gómez-Gardeñes  ( Universidad de Zaragoza )
  • Vito Latora  ( Queen Mary University of London ), TBC
  • Sandro Meloni  ( BIFI Zaragoza )
  • Enzo Nicosia  ( Queen Mary University of London )
  • Mason A. Porter  ( University of Oxford )
  • Martin Rosvall  ( Umea University )
  • José Ramasco  ( Universitat de Barcelona )
  • Andrea Rapisarda  ( Università degli studi di Catania )
  • Marta Sales-Pardo  ( Universitat Rovira i Virgili )
  • Per Sebastian Skardal  ( Universitat Rovira i Virgili )
  • Albert Solé-Ribalta  ( Universitat Rovira i Virgili )
  • others to be confirmed**

Colabria Salina

Registration is mandatory for participants, visit webpage. School fee is 300 euros, lectures, transfers from Catania to Salina, and accomodation are included.

Participation is limited to 50 attendants

The school will take place in Salina, a small island in the north of Sicily (Italy), from 9 to 13 June 2014. Salina, fully covered by green vegetation and surrounded by the sea, represents a suitable small and quite environment to achieve the purposes of this school.

Important dates

31 January 2014                 Early registration deadline 
10 February 2014               Notification of Acceptance
30 March 2014                   Registration deadline 
9-13 June 2014                  School

You can visit the website of the School for further details about the program, the location, to apply or to contact the organizers.

You can follow it on Twitter for real-time information:

@MscxNetworks (hashtag #mscxnet13)



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Colabria Testimonials

Written Colabria Testimonials are among the best way communities and networks validate. Unlike “TED/TEDx” Colabria Action Research’s middle name is not ‘entertainment;’  it’s ACTION. That’s why Colabria and its social networks are widely acknowledged as leaders. 


Here is a modest sample of Colabria Testimonials concerning your global Action/Research Clusters. 

“Thank you for putting this cluster together. Every once in a while we’re fortunate enough to be introduced to new ideas that breathe renewed life into our efforts. I appreciate that you set this up and allowed me the opportunity to sprout some new shoots of knowledge. It’s been a while since any professional development opportunities have sparked any real passion.”

“I was tremendously impressed by the event.”

“Thanks for such an informative and valuable event on prediction markets last week. I’ll be looking forward to future events.”

“I wanted to thank you for the great conference. I really enjoyed myself and learn a lot.”

“Thank you very much for organizing the Summit. I found it to be a highly useful conference and I was particularly pleased with the efficiency of the program – all of the talks were valuable and all of the time was put to good use .”

See more Colabria Testimonials.


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Happy Holidays!

Colabria Wreath


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LinkedIn Visualization

There is a new open source offering for LinkedIn Network Visualization. It is by Craig Tutterow, Doctoral Student, University of Chicago. The advantages are described as follows:

1) it's open-source and can be improved upon collaboratively

2) the visualization is written using the D3.js library, so it is dynamic and interactive

3) option for coloring nodes by industry

4) option to enable/disable connections to self

Here is a sample.

LinkedIn Viz

See and try:

Description: The link above is an open-source program I wrote that generates a network diagram and performs a basic social network analysis of a user's LinkedIn network. Egocentric network measures are generated uniquely for each user, and displayed in raw form and as a percentile against all other users of the site. If you go to the link - there is a button on the top of the page prompting the user to login to LinkedIn. It then uses the LinkedIn API to display their network. Readers might find it useful for interactive class demonstrations and/or quickly and cheaply fielding network surveys.


- Craig Tutterow
Doctoral Student
University of Chicago


Colabria Action Research

Colabria EET

The Network City

by Michael Mehaffy, Nikos Salingaros

ISB International Society of Biourbanism


“Only connect,” the writer E. M. Forster said famously — and modern scientists working with network structures are learning how right he was. Forster was talking about how to tell a good story, but it turns out that the same principles for creating richly interconnected structures do apply to making good cities, or other good designs. And what’s all the more interesting (and important) is how bad we’ve gotten at this in recent years — and why that came to pass. Jane Jacobs, the great urbanist and economist, put these ideas to intelligent use in her observation of what made cities such evident crucibles of economic productivity. It was proximities, she said, and networks of proximity, that allowed people to exchange knowledge and creative activities.





Colabria Action Research

Colabria EET

CFP: CI2014

Collective Intelligence 2014

MIT, Cambridge, MA

June 10-12, 2014

This interdisciplinary conference seeks to bring together researchers from a variety of fields relevant to understanding and designing collective intelligence of many types.

Topics of interest include but are not limited to:

  • human computation
  • social computing
  • crowdsourcing
  • wisdom of crowds (e.g., prediction markets)
  • group memory and extended cognition
  • collective decision making and problem-solving
  • participatory and deliberative democracy
  • animal collective behavior
  • organizational design
  • public policy design (e.g., regulatory reform)
  • ethics of collective intelligence (e.g., "digital sweatshops"
  • computational models of group search and optimization
  • emergence and evolution of intelligence
  • new technologies for making groups smarter


The conference will consist of:

  • Invited talks from prominent researchers in different areas related to collective intelligence including:

  • Oral presentations (see below)
  • Poster/Demo sessions (see below)
  • “Ignite” sessions in which practitioners (e.g. policy makers) connect with researchers around collective-intelligence-based solutions to real-world problems


Submissions of two types are invited:

  • Reports of original research results
  • Demonstrations of tools/technology

All submissions should  be formatted as three-page extended abstracts (see for Word and Latex templates), and should be submitted at

In order to encourage a diversity of innovative ideas from a variety of fields, submissions may refer to work that is recently published, under review elsewhere, or in preparation, and may link to up to one publicly accessible paper for the purpose of describing the work in detail. However, submissions will be evaluated solely on the submitted abstract, which must therefore comprise an entirely self-contained description of the work.

After review by the Program Committee, a subset of submitted papers will be invited for oral presentation, as well as for presentation as posters and/or demos. A second subset will also be invited exclusively for presentation as posters and/or demos.

Accepted submissions (including for posters and demos) will be compiled into a single report which will be made available on We emphasize that published abstracts are not intended to be considered archival publications or to preclude submission of the reported work to archival journals; however, we cannot guarantee that certain journals do not have policies precluding the publishing of extended abstracts.

Authors will not receive detailed feedback from the review process, and accepted abstracts will be included as submitted (i.e. submissions should be camera-ready).


Extended abstract submission deadline:  January 15, 2014
Notification of acceptance / rejection:  February 15, 2014
Conference dates:  June 10-12, 2014


Duncan Watts (Microsoft Research)
Michael Kearns (University of Pennsylvania)


Jeffrey Nickerson (Stevens Institute of Technology)
Thomas Malone (MIT)


Lada Adamic (Facebook, University of Michigan)
Christopher Chabris (Union College)
Iain Couzin (Princeton)
Winter Mason (Stevens Institute of Technology, Facebook)
Beth Noveck (NYU)
Scott Page (University of Michigan)
Paul Resnick (University of Michigan)
Matthew Salganik (Princeton, Microsoft Research)
Rajiv Sethi (Columbia University)
Anita Woolley (CMU)


Elizabeth Gerber (Northwestern)


Seyda Ertekin (MIT)
Lawrence Abeln (MIT)


Walter Lasecki and Jeff Bigham (University of Rochester)

SNA and Media Studies

A non-exhaustive, ad hoc and noteworthy bibliography on SNA and Media Studies. Prepared by Mathieu O'Neil on SocNet. To make adjustments and updates please visit the open wiki list at Google Sites

Google Sites

Barnett, G.A., T.L. Jacobson, Y. Choi, & S.L. Sun-Miller (1996)
An Examination of the International Telecommunication Network. The Journal of International Communication, 3, 19-43,.

Barnett, G.A., B.S. Chon & D. Rosen (2001)
The Structure of International Internet Flows in Cyberspace. NETCOM (Network and Communication Studies), 15 (1-2), 61-80, September.

Barnett. G.A. & H.W. Park (2005)
The Structure of International Internet Hyperlinks and Bilateral Bandwidth. Annals of Telecommunication, 60, 1115-1132.

Barnett, G.A., Ruiz, J.B., Hammond, J.R. & Xin, Z. (nd)
An Examination of the Relationship between International Telecommunication Networks, Terrorism and Global News Coverage, Social Networks and Mining. (DOI) 10.1007/s13278-013-0117-9.

Carley, K. M. , J. Pfeffer, H. Liu, F. Morstatter, & R. Goolsby (2013)
Near Real Time Assessment of Social Media Using Geo-Temporal Network Analytics, In Proceedings of 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), August 25-28 2013, Niagra Falls, Canada.

Cepela, N. & J. A. Danowski (2012)
Network Centrality of Obama and his Cabinet Members as Predictors of Job Approval Over Time. Paper presented to the 83rd Annual Conference of the Southern Political Science Association (SPSA), New Orleans, Louisiana, January 12-14, 2012.

Danowski, J. A. (2012)
Sentiment Network Analysis of Taleban and RFE/RL Open-Source Content About Afghanistan. Paper presented to the Open-Source Intelligence and Web Mining conference [OSINT-WM 2012], Odense, Denmark, August 22-23, 2012.

Danowski, J. A. (nd)
Turning Time Outside-In: Networks Among Time Slices as Nodes with Semantic Similarity as Links.

Danowski, J. A. & Cepela, N. (2010)
Automatic mapping of social networks of actors from text corpora: Time series analysis, in Memon, N., Jie Xu, J., Hicks, D. L., & Chen, H. (Eds.) Data mining for social network data. Annals of informations science, 12, (pps. 31-46). New York: Springer Science+Business Media.

Danowski, J. A. Park, D.W (nd)
Celebrities in the Mass and Internet Media and Social Network Structures: A Comparison with Public Intellectuals

Danowski, J. A. & Wetterer, J. (2013)
Framing in Buzz versus Long-tail Journalism: A network analysis approach for observing setting the media agenda for the acid rain issue from 1977 to 2009

de Nooy, W. & Kleinnijenhuis, J. (2013)
Polarization in the media during an election campaign: A dynamic network model predicting support and attack among political actors. Political Communication, 30(1), 117-138. doi:10.1080/10584609.2012.737417

Doerfel, M. L. & Connaughton, S. L. (2009)
Semantic networks and competition: Election year winners and losers in U.S. televised presidential debates, 1960-2004. Journal of the American Society for Information and Science Technology, 60, 201-218. (Published online in September 2008, Journal of the American Society for Information and Science Technology.)

Kim, K. & Barnett, G.A., (1996)
The Determinants of International News Flow: A Network Analysis. Communication Research, 23, 323-352.

Kim, K. & Barnett, G.A. (2000)
The Structure of the International Telecommunications Regime in Transition: A Network Analysis of International Organizations. International Interactions, 26(1), 91-127.

Kim, J.H. & Barnett, G.A.
The Effect of Global Communication on International Conflict: A Network Analysis. International Interactions, 33, 135-165, 2007.

Ksiazek TB. (2011)
A Network Analytic Approach to Understanding Cross-Platform Audience Behavior. Journal of Media Economics 24: 237-251.

Horgan, J., M. Kenney, C. Horne, P. Vining, K. M. Carley, M. Bigrigg, M. Bloom, & K. Braddock (2014-forthcoming)
“Competitive Adaptation in Terrorist Networks: Preliminary Findings From an Islamist Case Study,” in Counter-terrorism & Hostile Intent: Human Factors Theory and Application, edited by Alex Stedmon, Glyn Lawson & Rose Saikayasit (London: Ashgate, forthcoming, 2014).

Landwehr, P. & K. M. Carley, (2014-forthcoming)
Social Media in Disaster Relief, in Data Mining and Knowledge Discovery for Big Data, vol. 1, W. W. Chu, Ed. Springer Berlin Heidelberg, 2014, pp. 225–257.

Martin, M. K., J. Pfeffer, & K. M. Carley (2013-forthcoming)
“Network Text Analysis of Conceptual Overlap in Interviews, Newspaper Articles and Keywords.” Social Network Analysis and Mining.

Moon, S., Barnett, G.A. & Lim, Y.S., (2010)
The Structure of International Music Flows Using Network Analysis. New Media and Society, 12(3), 379-399.

Morstatter, F., J. Pfeffer, H. Liu and K. M. Carley (2013)
Is the Sample Good Enough? Comparing Data from Twitter’s Streaming API with Twitter’s Firehose, In proceedings of International AAAI Conference on Weblogs and Social Media (ICWSM),” July 8-10, Boston, MA.

Nam, Y., & Barnett, G.A. (2011)
Globalization of technology: Network analysis of global patents and trademarks, Technological Forecasting and Social Change, 78(8), 1471-1485.

Ognyanova, K., & Monge, P. (2013)
A Multitheoretical, Multilevel, Multidimensional Network Model of the Media System: Production, Content, and Audiences. Communication Yearbook, 37, 66-93.

Park, H.W., Barnett, G.A. & Chung, C. (2011)
Structural Changes in the Global Hyperlink Network 2003-2009, Global Networks, 11(4), 522-544.

Van Holt, T., J. C. Johnson, K. M. Carley, J. Brinkley & J. Diesner (2013), Rapid ethnographic assessment for cultural mapping. Poetics, 41:366-383.

Weber, M.S. (2012)
Newspapers and the Long-Term Implications of Hyperlinking. Journal of Computer-Mediated Communication, 17(2), 187-201. doi: 10.1111/j.1083-6101.2011.01563.x

Weber, M. S. & Monge, P., (2011)
The Flow of Digital News in a Network of Authorities, Hubs and Providers. Journal of Communication, 61(6), 1062-1081. doi: 10.1111/j.1460-2466.2011.01596.x

Yuan, E. J., M. Feng & J. A. Danowski, (2013-forthcoming)
“Privacy” in Semantic Networks on Chinese Social Media: The Case of Sina Weibo. Forthcoming, Journal of Communication.


Colabria Action Research

Enterprise Mega-Shifts

The enterprise is undergoing massive, seismic shifts. The last enterprise mega-shift was in the late 1980s and 1990s. Prior to the 1980s, for most of the 20th Century, businesses were organized functionally. Discrete corporate departments led manufacturing, sales, marketing, human resources and so forth. Well-managed businesses enjoyed equilibrium and steady growth.

Colabria Value Chain Enterprise Value Chain Circa 1990

In the late 1980s and for most of the 1990s the enterprise undertook the wrenching but necessary shift from function to process. Remember value chains and cross-functional teams? Remember the headlong flight to integrated enterprise resource planning (ERP) software packages in the 1990s?

This was a very difficult period for most organizations. It was remarkably difficult to let-go and un-learn the functional mindset. Highly respected industry stalwarts like IBM, Apple and GM almost went out-of-business. Middle management was eviscerated. The enterprise wasted hundreds of billions of dollars on dubious and failed ERP implementations. Only with grit and determination did the strongest organizations survive…  

Well, that’s the good news. Today business is facing no fewer than five enormous enterprise mega-shifts. This time around, they are all happening at once. They will make the 1990s feel nostalgic and inviting. Colabria Action Research has identified these five mega-shifts.

Bureaucracies to Boundaries – Innovation, productivity and prosperity inhabit the far-flung organizational boundaries and just beyond. Moldering central bureaucracies are being dismantled. 

Processes to Networks – Routine process engineering and ordered-systems mastery is being subsumed by the network mindset. Complex systems thinking and ecosystem logic carries the day.

Governance to Relevance – Corporate governance is being replaced by distributed relevance. Perpetually acting on behalf of customers in the situated present is creating the next great episode of enterprise achievement and business prosperity.

Management to Leadership – Command and control is fast becoming cultivate, collaborate and coordinate. Constitutions and narratives are supplanting metrics and consequences for sustaining high levels of enterprise achievement.

Transactions to Interactions – Work that was once systematic and routine is now social, interactive and improvisational. Success requires judgment and freedom to act with a heavy reliance on complex interactions with others.

Taken alone any one of these mega-shifts makes the shift from function to process seem relatively quaint and easy. Taken together, simultaneously, the requirements for enterprise adaptation, organizational exaptation and knowledge leadership are staggering. Fortunately, that’s where humans excel... if they are allowed. 

TSE Conference Standard Banner December


On January 31th, 2014 in San Francisco your Colabria Action Research Networks will colonize these pressing enterprise themes. Please accept your pre-Invitation to Emerging Enterprise Technologies: Transaction to Interactions.

Your Colabria Cluster will equip you with the methods, techniques, tools, technologies and Next Practices to master the next great chapter of enterprise evolution with confidence. Discounted Early-Bird Registration is now open.



Colabria Action Research

Colabria EET



Activity Streams, Analytics & Taxonomies, Big Data, Cloud Computing, Collective Intelligence, Communities of Practice, Complexity Science, Content Management, Crowd Sourcing, Enterprise Collaboration, Idea Management, Innovation & Invention, Intellectual Capital, Knowledge Management, Measurement & Metrics, Mental Models, Narrative & Storytelling, Next Practices, Organizational Learning, Policy & Procedures, Prediction Markets, Privacy & Identity, Semantic Web, Social Analytics, Social Enterprise, Social Media, Social Networks, Social Objects, Systems Thinking, Ubiquitous Computing

Graph Viz 101

A guest blog post series on the visual exploration of graphs
by Sébastien Heymann

We are launching a series of posts to teach the basics of graph visualization, written by Sébastien Heymann in collaboration with Bénédicte Le Grand of Université de Paris 1.

At Linkurious we are working on better software to help people visualize graphs easily. Of course writing software is a powerful way to improve our ability to tackle complexity but it’s no substitute for human intelligence. With that in mind we are starting a series of posts that will teach you how to create, read, and interpret graphs visually. Taking their roots in the Königsberg Bridge Problem, graphs are meant to be seen.

Illustration of a graph in Linkurious

We have noticed in the recent years a tremendous adoption of graphs outside the scientific community, notably thanks to open source products like Neo4j and Gephi. Graphs offer a powerful tool to think, to design and to create new products adapted to our complex world.

However like any new tool we need to learn how to use it properly, and mastering the art of graph visualization and interpretation takes time. I am still horrified when I hear that graph visualization is “just a toy” or a “nice-to-have”. Quite the opposite, when visualization is correctly and wisely used, it becomes a very efficient medium between you and your data, between your point of view and the ones of your team, between your insights and your audience. Think about it as a surface that you can shape in many ways: layouts, colors, sizes, shapes of nodes and relationships, etc.

Such freedom is necessary to experiment, but it also comes inevitably with bad visualizations and fanciful interpretations. They are rarely deliberate thought, and during my other activities (as Gephi community manager and PhD student) I’ve seen many mistakes due to a lack of basic knowledge or skills. Beware also of histograms and “simpler” graphics: misleading charts are everywhere. I am personally attached to democratize network thinking, so at Linkurious we want to help raise the bar.

But there is a problem: where to start learning graph visualization? Whereas an extensive literature has been produced so far, one must compile various sources after hours of Web search, and try to extract what is important and what is not, what is meaningful and what is esoteric technique. I’ve read dozens ofscientific articles and a few books, I’ve closely looked at what people do with Gephi, but I’ve not found a complete yet simple introduction to the visual exploration of graphs (aka networks), even if one can find good introductions toSocial Network Analysis. So I’ve created a live tutorial two years ago for the ICWSM conference, and recently worked on a book chapter. It was two great experiences, but the audiences remain limited.

So today I’m excited to announce that we will start Graph Viz 101, a series of 10 blog posts about the theories related to visual graph exploration, in a concise, accessible style. It will help you understand our approach with Linkurious, but more importantly it will give you an in-depth perspective of the classical methods and challenges in the field. It will eventually help you formulate your needs, distinguish good vs bad visualizations, and avoid some common mistakes. Here is the plan (which may be modified later):

  1. Why Exploratory Network Analysis?
  2. Perceptual support of visualization
  3. Emergence of knowledge through visualization
  4. Visual representation of graphs
  5. A visual language of node-link diagrams
  6. The non-linear data processing chain
  7. Interaction and data mining algorithms
  8. Challenges: time-varying graphs and large graphs
  9. The global approach
  10. The local approach (where Linkurious stands)

Should you read our Graph Viz 101? The answer is YES, because I am sure that you will discover something new whatever your skills, unless (maybe) if you are already publishing research articles in this field. You will not find this content anywhere else thought: graph visualization is at the crossing of many fields of research, and I have literally spend months curating existing papers to assemble what I consider to be the most important approaches in these fields (e.g. infovis, psychology, design, data mining, and even a bit of epistemology). This presentation is original as it results from my experience and point of view, so I hope you will enjoy it and discuss it using the blog comments. I would love to see complementary discussions that help go deeper.

As a small gift before we start, don’t miss out the Subtleties / of / Color, 3 well-written blog posts by Robert Simmon that introduces color theory for data visualization.

I recommend you follow us on your favorite social network: Twitter, LinkedIn, Google+, Facebook. Help us spread it to see everyone making better and useful graph visualizations!

- by Sébastien Heymann

Brooks’s Law

The global praxis ecosystem of Colabria Action Research is inhabited by recognized authorities on large IT system design, development and deployments. Commentary on very large enterprise and consumer systems helps refract, anneal and share decades of hands-on experience and executive leadership.

Today’s lesson is on Brooks’s Law and the PPACA (ObamaCare). To the extent possible, and as respected information systems scientists, we leave the politics to pundits and politicians.

Brooks’s Law is simple: Adding people to a late software project makes it later.

Colabria Man Month

Brooks’s Law first appeared in 1975 in The Mythical Man Month (free download, multiple formats). This legendary book is enormously impactful. It is highly recommended. Read it now. Send the link to HHS. In 1975 it made critical observations about complexity and organizations and software projects. 

Every software engineer knows the Mythical Man Month or should.

Unfortunately politicians and software dilettantes are running the PPACA. Their chorus is, ‘lack of resources.’ Adding talent and money to the PPACA as is being done with the ‘programmer surge’ is an objective violation of Brooks’s Law.

Brooks’s Law is insidious in government IT settings because they can order up fresh resources, talent and money, with total impunity. Unlike businesses there exists no accountability or consequence in centralized, statist government efforts like the PPACA. That’s is why all large government IT projects are so turgid. They will always collapse under their own hubris.

Meanwhile, the Administration’s approach to fix the PPACA is to apply the ‘best and the brightest.’ Again, this is a patent violation of another of Brooks’s Law: “In a suitably complex system there is a certain irreducible number of errors. Any attempt to fix observed errors tends to result in the introduction of other errors.”


Finally, like Murphy, Brooks' was an optimist.

Colabria Action Research

10-2-2013 12-50-49 AM

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