Networks, Complexity, and Relatedness
Inquiry and learning into social networks, organizational network analysis, and the relationships among people and systems in complex organizations and networks.


Tuesday, February 22, 2005

Boston OD Learning Group (Shameless self-promotion)

Bruce Hoppe has arranged a session on SNA at the Boston OD Learning Group on April 21. We're going to have a lot of fun introducing network analysis to this community, and are going to do a "live" map. My most successful SNA projects were done with partners in HR/OD parts of the organization -- these folks have a great understanding of how things really work but often do not have the tools to provide visual and quantitative "evidence." It will be interesting to get feedback from this group, and I'm sure I'll learn a lot.

The event is open to anyone who wants to attend, you can get details on the web site for the OD Learning Group. (You need to click through the menus for future meetings to get to April 21.)

The meeting is open to anyone, $30.00 for nonmembers, but you must RSVP to programs@learninggroup.org

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Visible Path Blog from Sunbelt

Visible Path, one of the companies that is using social network methods to connect people within and outside of enterprises, has started a blog with some serious contributors: Stanley Wasserman (one of the SNA pioneers and researchers) and Stowe Boyd (from whom I've learned so much) included.

Stanley's blog about Sunbelt, the annual conference of the International Network for Social Network Analysis (INSNA), gives a very nice flavor of the community and the event itself. I will go one of these years!

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Tuesday, February 08, 2005



Doug Englebart turned 80

Just got news from John Maloney (of KM Cluster fame) about this tribute to Doug Engelbart.
Most people in the high-technology world know of Doug as the inventor of the mouse. Most people who've toiled in the field of computer-supported collaborative work know that Doug was the first person to envision frameworks for sharing desktop screens and truly collaborating. Many people have heard of Doug's vision for how computers augment human capabilities, making each of us smarter and more effective. Doug, of course, had the vision years and years ago, while many are just now catching up to the idea of information at our fingertips on those palms and PDAs.

I was privileged to attend a Bootstrap Seminar in March of 1991. It was a transformative event in my career, for any number of reasons.

  1. He gave history and context to my work in understanding collaboration systems and contextual design, including (and especially) the human interface factors.
  2. The seminars focused on building communities and networks, starting with the here and now. It is to my discredit that I did not keep in regular touch with my co-participants following the event.
  3. I have used the bootstrap model of A, B, and C communities ever since that seminar. As a "C", I have always been in the role of sensing what's new (in information technology, organizational effectiveness, knowledge management) and bringing an understanding of how to apply the new stuff in organizations

Just this past month as I work with my new colleagues in Cynefin and the KM cluster I have been reminded of the bootstrap model and motivated to go back and look at the binder from the seminar, rich in detail and evocative of a special experience. As the years go by, my understanding deepens and I realize it will be decades more before I "get" all that I need to learn.

When I can find my "class photo" from the seminar, I'll post it...

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Saturday, February 05, 2005



Net Work at CPsquare

John Smith and Etienne Wenger invited me to give a talk on social networks for the CPsquare research forum; I gave the talk yesterday to a global audience of almost 20 people, I think. It is CPsquare's 2nd birthday; it was good to be able to reflect on how my own thinking has evolved over the past two years and to see how much of my work in networks is rooted in the time I was active in CPsquare at the beginning.

I took the opportunity to pull together the storyline for my paper for the Bentley conference in March, which is based on the Report I am doing for the Ark Group which I hope to see in print next month (stay tuned for announcement!).

The CPsquare conference call is only one element of the research forum. I started a few days ago by posting one of the questions I've already brought up here (and received responses about) and at the KMcluster: identity. The collaboration space for CPsquare will be open for another week, and I hope and expect to get more feedback and more tough questions. Some of yesterday's questions included:

  • If I say that networks can be managed, whom am I talking about? (Who is it who does the managing?) [You can really only manage the environment in which networks grow and develop; leadership is about network leverage.]
  • In SNA surveys, how do you account for potential inaccuracy based on how people report about themselves? [I believe that good question design can improve the possibility of valid responses.]
  • How well do people in a network understand the geometry of that network intuitively? [Not usually, but research shows that effective leaders understand the networks in their organizations.]
  • If a network like Gennova has membership dues, how is it not a formal organization? What are the distinctions, really, between organizations, communities and networks? [This is my very large current inquiry, which is to understand distinctions in types of network and how to select governance models, membership boundaries, etc. in each.]
  • How can you do a survey if you don't have a sampling frame (that is, you don't know who the people in the network actually are?) [Let people fill in the blanks to a question like "Whom do you go to when you need to solve a problem related to topic x?"]
  • How do you decide what questions to ask? [Start with the presenting business problem and decide what you want to find out.]
  • How do you avoid the fear of some people that "big brother" is out to find out about them? [Communicate, communicate, communicate. Sponsoring manager must publicly commit to honoring requests for privacy.]
The awesome Nancy White blogged most of the conversation, and Patrick Hindert (a colleague of Denham Grey's) provided detailed notes as well. I don't think I've ever had the experience of so many of my words being captured and available right back at me before. It's humbling.

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Friday, February 04, 2005



All networks are not the same

SOCNET has a very interesting conversation going, stimulated by Valdis Krebs' posting of a link to a Science article, Sizing up complex webs. The article suggests that all networks, from a very far distance, look the same. Valdis notes that many of the organizational networks he has studied don't look like this at all. Others concur, chiming in that networks with humans in them can't be that consistent. Then, Balazs Vedres of Columbia says:

If something is the same, ie. constant, invariable, can it be of interest to social scientists? I would think you need variability in order to explain anything. Maybe this is the contrast between social scientists and physics people interested in networks.
Ajay Mehra of U. of Cinncinati requests that social scientists cut the physicists some slack:
One reason that physicists like Barabasi are so excited about the “new”
science of networks is that it holds out the promise for general laws of networks that would apply across all kinds of networks. Those studying organizational networks have argued for some time that this quest for general laws may be misguided. Still, I for one say let’s not dampen the physicists enthusiasm just yet. Even if their quest for universal laws of networks proves unattainable, they are sure to throw up marvelous insights along the way.
Bettina Hoser from the University of Karlsruhe and others argue for more collaboration among the physicists and sociologists, and Leon Danner, University of Barcelona, offers a possible explanation:
...the physics approach to networks centers on the global properties and large scale organisation, while the social science approach is more individual based. Therefore physicists tend to study datasets with large numbers of nodes, while sociologists are content studying smaller networks. The other reason is educational. As a physicist, I find it much more demanding to read a sociology paper than I do reading a physics paper and I'm sure it's the case the other way around. I also think that the some really interesting research is/will be right at the interface between the two approaches.
Yes, say others (and myself). It's the confluence of disciplines, the back and forth, things meeting on the edge where the insights and excitement occur.



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