creators_name: Catanese, Salvatore
creators_name: De Meo, Pasquale
creators_name: Ferrara, Emilio
creators_name: Fiumara, Giacomo
creators_name: Provetti, Alessandro
type: confpaper
datestamp: 2011-10-27 01:34:47
lastmod: 2011-10-27 01:34:47
metadata_visibility: show
title: Crawling Facebook for Social Network Analysis Purposes
ispublished: pub
subjects: comp-sci-complex-theory
subjects: comp-sci-mach-dynam-sys
full_text_status: public
note: ISBN: 978-1-4503-0148-0
abstract: 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.

date: 2011
date_type: published
publisher: ACM
pagerange: 52:1-52:8
refereed: TRUE
citation:   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]     
document_url: http://cogprints.org/7663/1/71-catanese.pdf