TY  - GEN
N1  - ISBN: 978-1-4503-0148-0
ID  - cogprints7644
UR  - http://cogprints.org/7644/
A1  - Catanese, Salvatore
A1  - De Meo, Pasquale
A1  - Ferrara, Emilio
A1  - Fiumara, Giacomo
A1  - Provetti, Alessandro
Y1  - 2011///
N2  - 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.

PB  - ACM
TI  - Crawling Facebook for Social Network Analysis Purposes
SP  - 52:1
AV  - public
EP  - 52:8
ER  -

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