Mining knowledge-sharing sites for viral marketing
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
An Algorithm to Find Overlapping Community Structure in Networks
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
A Fast Algorithm to Find Overlapping Communities in Networks
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Discovering leaders from community actions
Proceedings of the 17th ACM conference on Information and knowledge management
Overlapped community detection in complex networks
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Overlapping Communities Generation for Online Support Forums
ICAIS '09 Proceedings of the 2009 International Conference on Adaptive and Intelligent Systems
Overlapping Community Detection by Collective Friendship Group Inference
ASONAM '10 Proceedings of the 2010 International Conference on Advances in Social Networks Analysis and Mining
Moving towards a socially-driven internet architectural design
ACM SIGCOMM Computer Communication Review
Analysis of social metrics in dynamic networks: measuring the influence with FRINGE
Proceedings of the 2012 Joint EDBT/ICDT Workshops
A Method for Local Community Detection by Finding Core Nodes
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
W-entropy method to measure the influence of the members from social networks
International Journal of Web Engineering and Technology
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Currently, there is a growing interest in identifying communities in social networks. Although there are many algorithms that suitably resolve this problem, they do not properly find overlaps among communities. This paper describes a new approach to the detection of overlapping communities based on the ideas of friendship and leadership, using a new centrality measure, called extended degree. We describe the algorithm in detail and discuss its results in comparison to CFinder, a well-known algorithm for finding overlapping communities. These results show that our proposal behaves well in networks with a clear leadership relationship, in addition it not only returns the overlapping communities detected but specifies their leaders as well.