Role-dynamics: fast mining of large dynamic networks
Proceedings of the 21st international conference companion on World Wide Web
SeqiBloc: mining multi-time spanning blockmodels in dynamic graphs
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Multi-scale dynamics in a massive online social network
Proceedings of the 2012 ACM conference on Internet measurement conference
Modeling dynamic behavior in large evolving graphs
Proceedings of the sixth ACM international conference on Web search and data mining
A temporal network analysis reveals the unprofitability of arbitrage in The Prosper Marketplace
Expert Systems with Applications: An International Journal
Identification of Group Changes in Blogosphere
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
The Impact of Measurement Time on Subgroup Detection in Online Communities
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
OCTracker: A Density-Based Framework for Tracking the Evolution of Overlapping Communities in OSNs
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Uncovering the wider structure of extreme right communities spanning popular online networks
Proceedings of the 5th Annual ACM Web Science Conference
Community structure and evolution analysis of OSN interactions around real-world social phenomena
Proceedings of the 17th Panhellenic Conference on Informatics
Computer science fields as ground-truth communities: their impact, rise and fall
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Incremental local community identification in dynamic social networks
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Proceedings of the 17th International Database Engineering & Applications Symposium
Analysis of dynamic resource access patterns in a blended learning course
Proceedings of the Fourth International Conference on Learning Analytics And Knowledge
Adaptive evolutionary clustering
Data Mining and Knowledge Discovery
Roles in social networks: Methodologies and research issues
Web Intelligence and Agent Systems
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Real-world social networks from a variety of domains can naturally be modelled as dynamic graphs. However, approaches to detecting communities have largely focused on identifying communities in static graphs. Recently, researchers have begun to consider the problem of tracking the evolution of groups of users in dynamic scenarios. Here we describe a model for tracking the progress of communities over time in a dynamic network, where each community is characterised by a series of significant evolutionary events. This model is used to motivate a community-matching strategy for efficiently identifying and tracking dynamic communities. Evaluations on synthetic graphs containing embedded events demonstrate that this strategy can successfully track communities over time in volatile networks. In addition, we describe experiments exploring the dynamic communities detected in a real mobile operator network containing millions of users.