---
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.\r\n"
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chapter: ~
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conference: "WIMS '11: International Conference on Web Intelligence, Mining and Semantics"
confloc: ~
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creators_id: []
creators_name:
- family: Catanese
given: Salvatore
honourific: ''
lineage: ''
- family: De Meo
given: Pasquale
honourific: ''
lineage: ''
- family: Ferrara
given: Emilio
honourific: ''
lineage: ''
- family: Fiumara
given: Giacomo
honourific: ''
lineage: ''
- family: Provetti
given: Alessandro
honourific: ''
lineage: ''
date: 2011
date_type: published
datestamp: 2011-10-01 00:35:08
department: ~
dir: disk0/00/00/76/44
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editors_id: []
editors_name: []
eprint_status: archive
eprintid: 7644
fileinfo: application/pdf;http://cogprints.org/7644/1/
full_text_status: public
importid: ~
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isbn: ~
ispublished: pub
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keywords: ~
lastmod: 2011-10-01 00:35:08
latitude: ~
longitude: ~
metadata_visibility: no_search
note: 'ISBN: 978-1-4503-0148-0'
number: ~
pagerange: 52:1-52:8
pubdom: TRUE
publication: ~
publisher: ACM
refereed: TRUE
referencetext: ~
relation_type: []
relation_uri: []
reportno: ~
rev_number: 10
series: ~
source: ~
status_changed: 2011-10-01 00:35:08
subjects:
- comp-sci-complex-theory
- comp-sci-mach-dynam-sys
succeeds: ~
suggestions: ~
sword_depositor: ~
sword_slug: ~
thesistype: ~
title: Crawling Facebook for Social Network Analysis Purposes
type: confpaper
userid: 14714
volume: ~