Crawling Facebook for Social Network Analysis Purposes
arXiv:1105.6307 · doi:10.1145/1988688.1988749
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.
WIMS '11: International Conference on Web Intelligence, Mining and Semantics ACM New York, NY, USA \c{opyright}2011 ISBN: 978-1-4503-0148-0
References in corpus (5)
Cited by in corpus (27)
- The Anatomy of the Facebook Social Graph
- Web Data Extraction, Applications and Techniques: A Survey
- Detecting criminal organizations in mobile phone networks
- On Facebook, most ties are weak
- A Large-Scale Community Structure Analysis In Facebook
- Network Structure and Resilience of Mafia Syndicates
- Measuring social spam and the effect of bots on information diffusion in social media
- Analyzing User Behavior across Social Sharing Environments
- Analysis of a heterogeneous social network of humans and cultural objects
- Improving the Usability of Privacy Settings in Facebook
- Network Topology Mapping from Partial Virtual Coordinates and Graph Geodesics
- The User Behavior in Facebook and its Development from 2009 until 2014
- Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realization
- Seeding with Costly Network Information
- Do we really need to catch them all? A new User-guided Social Media Crawling method
- Exploratory Analysis of Pairwise Interactions in Online Social Networks
- Random Walk Sampling in Social Networks Involving Private Nodes
- Change-Point Detection in Dynamic Networks with Missing Links
- The Anatomy of Big Data Computing
- Design of iMacros-based Data Crawler and the Behavioral Analysis of Facebook Users
- A subset selection based approach to finding important structure of complex networks
- A new method for community detection in social networks based on message distribution
- Walk, Not Wait: Faster Sampling Over Online Social Networks
- Social Graph Restoration via Random Walk Sampling
- Identifying Hubs in Undergraduate Course Networks Based on Scaled Co-Enrollments: Extended Version
- Evaluation of User Dynamics Created by Weak Ties among Divided Communities
- Outliers Detection in Networks with Missing Links