social-networks 2
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Is Twitter a Complex Adaptive System? « emergent by design
I’ve seen a bunch of posts bubble up over the past few days that are really sparking my curiousity about what is really going on with Twitter, so I need to do a little brain dump. Bear with me. Insight #1
Why Your Friends Have More Friends Than You Do | Psychology Toda
One of my all-time favorites among all the scientific papers that I have ever read in my life is “Why your friends have more friends than you do,” published in the American Journal of Sociology in 1991 by my old sociology friend Scott L. Feld, who is now Professor of Sociology at Purdue University. The title of Feld’s paper says it all, and here’s a little demonstration you can do to confirm his conclusion. List all of your friends. Then ask each of your friends how many friends they have. No matter who you are, whether you are a man or a woman, where you live, how many (or few) friends you have, and who your friends are, you will very likely discover that your friends on average have more friends than you do.Faint rumblings have begun in the social networking landscape. Facebook acquired smaller rival FriendFeed in August. Friendster, viewed as an also-ran in the U.S., has refocused its operations on the Asia-Pacific region, where it is among the leaders in traffic. News Corp., owner of MySpace, has reshuffled executives and restructured the unit as traffic growth slows.
Early Tremors: Is It Time for Another Social Network Shakeout? -
33 Bits of Entropy
I have a new paper with the above title, currently under peer review, with Vincent Toubiana, Solon Barocas, Helen Nissenbaum and Dan Boneh (the Adnostic gang). We argue that distributed social networking, personal data stores, vendor relationship management, etc. — movements that we see as closely related in spirit, and which we collectively term “decentralized personal data architectures” — aren’t quite the panacea that they’ve been made out to be. The paper is only a synopsis of our work so far — in our notes we have over 80 projects, papers and proposals that we’ve studied, so we intend to follow up with a more complete analysis.
Introduction to Social Network Methods: Chapter 4: Visualizing
This page is part of an on-line text by Robert A. Hanneman ( Department of Sociology , University of California, Riverside) and Mark Riddle (Department of Sociology, University of Northern Colorado). Feel free to use and distribute this textbook, with citation. Your comments and suggestions are very welcome. Send me e-mail. As we saw in chapter 3, a graph representing the information about the relations among nodes can be an very efficient way of describing a social structure.
