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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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.
| 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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Crawling Facebook for Social Network Analysis Purposes. (deposited 01 Oct 2011 00:35)
- Crawling Facebook for Social Network Analysis Purposes. (deposited 27 Oct 2011 01:34) [Currently Displayed]
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