Crawling Facebook for Social Network Analysis Purposes

Catanese, Salvatore and De Meo, Pasquale and Ferrara, Emilio and Fiumara, Giacomo and Provetti, Alessandro (2011) Crawling Facebook for Social Network Analysis Purposes. [Conference Paper]

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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.

Item Type:Conference Paper
Additional Information:ISBN: 978-1-4503-0148-0
Subjects:Computer Science > Complexity Theory
Computer Science > Dynamical Systems
ID Code:7663
Deposited By: Ferrara, Dr. Emilio
Deposited On:27 Oct 2011 01:34
Last Modified:27 Oct 2011 01:34

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