The small-world phenomenon: an algorithmic perspective
STOC '00 Proceedings of the thirty-second annual ACM symposium on Theory of computing
IEEE Intelligent Systems
Graphs over time: densification laws, shrinking diameters and possible explanations
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Information revelation and privacy in online social networks
Proceedings of the 2005 ACM workshop on Privacy in the electronic society
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Inferring binary trust relationships in Web-based social networks
ACM Transactions on Internet Technology (TOIT)
Balancing Systematic and Flexible Exploration of Social Networks
IEEE Transactions on Visualization and Computer Graphics
The link-prediction problem for social networks
Journal of the American Society for Information Science and Technology
Analysis of topological characteristics of huge online social networking services
Proceedings of the 16th international conference on World Wide Web
Parallel crawling for online social networks
Proceedings of the 16th international conference on World Wide Web
Measurement and analysis of online social networks
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Poking facebook: characterization of osn applications
Proceedings of the first workshop on Online social networks
Identifying user behavior in online social networks
Proceedings of the 1st Workshop on Social Network Systems
Online social networks: modeling and mining: invited talk
Proceedings of the Second ACM International Conference on Web Search and Data Mining
User interactions in social networks and their implications
Proceedings of the 4th ACM European conference on Computer systems
What happens when facebook is gone?
Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
Dynamics of large networks
Understanding online social network usage from a network perspective
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
Characterizing user behavior in online social networks
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
APWEB '10 Proceedings of the 2010 12th International Asia-Pacific Web Conference
Walking in facebook: a case study of unbiased sampling of OSNs
INFOCOM'10 Proceedings of the 29th conference on Information communications
An empirical study on IMDb and its communities based on the network of co-reviewers
Proceedings of the First Workshop on Measurement, Privacy, and Mobility
Putting humans in the loop: Social computing for Water Resources Management
Environmental Modelling & Software
Bridge analysis in a Social Internetworking Scenario
Information Sciences: an International Journal
Detect inflated follower numbers in OSN using star sampling
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
A three-level approach to the study of multi-cultural social networking
OCSC'13 Proceedings of the 5th international conference on Online Communities and Social Computing
Analyzing user behavior across social sharing environments
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Section on Intelligent Mobile Knowledge Discovery and Management Systems and Special Issue on Social Web Mining
A User-Centric Feature Identification and Modeling Approach to Infer Social Ties in OSNs
Proceedings of International Conference on Information Integration and Web-based Applications & Services
Networked individuals predict a community wide outcome from their local information
Decision Support Systems
Making social interactions accessible in online social networks
Information Services and Use - Mining the Digital Information Networks
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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.