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Eine Disziplinarkommision in Ohio sieht den Online-Umgang von US-Richtern mit zum Beispiel Anwälten auf Facebook & Co unter bestimmten Bedingungen durchaus als statthaft an. In Florida hat der Ethikrat hingegen dem Befreunden auf Facebook eine Absage erteilt.
Die Zugehörigkeit zu bestimmten Gruppen in sozialen Netzen erlaubt anderen Webseiten Rückschlüsse auf die wahre Identität des Besuchers. An die Gruppen-Informationen gelangt eine Webseite über das "Auslesen" der Browser-Historie.
Visualization of graph data is incredibly challenging, particularly when it comes to extremely large, scale-free graphs and social networks. A few simple searches on the Web and you will find some mesmerizing and very cool images. Perhaps the most cited...
[updated with Tagommenders paper – thanks Shilad.] The organizers of the World Wide Web conference recently announced the list of accepted papers for this year’s event. In the Social Networks and Web 2.0 track (chaired by Elisa Bertino and Lada...
Professor Katherine Stovel
Winter 2007, U Washington
This seminar is intended as a theoretical and analytical
introduction to structural network analysis.
Bebo is the next generation social networking site where members can stay in touch with their College friends, connect with friends, share photos, discover new interests and just hang out.
Handcock, M.S., Raftery, A.E. and Tantrum, J. (2005).
Model-Based Clustering for Social Networks.
Working Paper no. 46, Center for Statistics and the Social Sciences,
University of Washington.
Web spam pages use various techniques to achieve
higher-than-deserved rankings in a search engine’s
results. While human experts can identify
spam, it is too expensive to manually evaluate a
large number of pages. Instead, we propose techniques
to semi-automatically separate reputable,
good pages from spam. We first select a small set
of seed pages to be evaluated by an expert. Once
we manually identify the reputable seed pages, we
use the link structure of the web to discover other
pages that are likely to be good. In this paper
we discuss possible ways to implement the seed
selection and the discovery of good pages. We
present results of experiments run on the World
Wide Web indexed by AltaVista and evaluate the
performance of our techniques. Our results show
that we can effectively filter out spam from a significant
fraction of the web, based on a good seed
set of less than 200 sites.
F. Benevenuto, T. Rodrigues, M. Cha, und V. Almeida. Proceedings of the 9th ACM SIGCOMM Conference on Internet Measurement Conference, Seite 49--62. New York, NY, USA, ACM, (2009)
B. Yu, und M. Singh. Cooperative Information Agents IV - The Future of Information Agents in Cyberspace, Volume 1860 von Lecture Notes in Computer Science, Springer, Berlin/Heidelberg, (2000)
B. Yu, und M. Singh. Proceedings of the second international joint conference on Autonomous agents and multiagent systems, Seite 65--72. New York, NY, USA, ACM, (2003)
C. Ross, E. Orr, M. Sisic, J. Arseneault, M. Simmering, und R. Orr. Computers in Human Behavior25 (2):
578 - 586(2009)<ce:title>Including the Special Issue: State of the Art Research into Cognitive Load Theory</ce:title>.