Community evolution detection in time-evolving information networks

Authors:
Alfredo Cuzzocrea;Francesco Folino
Affiliations:
ICAR-CNR and University of Calabria, Cosenza, Italy;ICAR-CNR, Cosenza, Italy
Venue:
Proceedings of the Joint EDBT/ICDT 2013 Workshops
Year:
2013

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Abstract

In this paper, we propose a framework for representing, modeling and mining time-evolving information networks. Our framework introduces a graph-based model-theoretic approach to represent such networks and how they change over time. Also, we provide a method for supporting matching-based community evolution detection in time-evolving information networks, by identifying several classes of community transitions, along with algorithms that implement them.