Computer Science – Social and Information Networks
Scientific paper
2011-05-31
Proceedings of the International Conference on Web Intelligence, Mining and Semantics, 2011
Computer Science
Social and Information Networks
WIMS '11: International Conference on Web Intelligence, Mining and Semantics ACM New York, NY, USA \c{opyright}2011 ISBN: 978-
Scientific paper
10.1145/1988688.1988749
We describe our work in the collection and analysis of massive data describing the connections between participants to online social networks. Alternative approaches to social network data collection are defined and evaluated in practice, against the popular Facebook Web site. Thanks to our ad-hoc, privacy-compliant crawlers, two large samples, comprising millions of connections, have been collected; the data is anonymous and organized as an undirected graph. We describe a set of tools that we developed to analyze specific properties of such social-network graphs, i.e., among others, degree distribution, centrality measures, scaling laws and distribution of friendship.
Catanese Salvatore A.
Ferrara Emilio
Fiumara Giacomo
Meo Pasquale de
Provetti Alessandro
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