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.
A. Traud, P. Mucha, und M. Porter. (2011)cite arxiv:1102.2166
Comment: 82 pages (including many pages of tables), 8 multi-part figures,
"Facebook100" data used in this paper is publicly available at
http://people.maths.ox.ac.uk/~porterm/data/facebook100.zip.
B. Berendt, A. Hotho, und G. Stumme. Web Semantics: Science, Services and Agents on the World Wide Web8 (2-3):
95 - 96(2010)Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0; The Future of Knowledge Dissemination: The Elsevier Grand Challenge for the Life Sciences.
C. Schmitz, A. Hotho, R. Jäschke, und G. Stumme. Data Science and Classification (Proc. IFCS 2006 Conference), Seite 261-270. Berlin/Heidelberg, Springer, (Juli 2006)Ljubljana.
