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RWTH Aachen
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Signed Social Networks: Link Prediction and Overlapping Community Detection

Year 2015

In this paper, we propose a new two-phase approach for finding overlapping communities in signed social networks. Moreover, we evaluate the importance of three node classes: extra, overlapping and intra. Results indicate that the overlapping nodes can competitively predict signs in comparison to intra and extra nodes. Finally, we propose extended frustration as a measure to evaluate errors for fuzzy community detection algorithms in signed social networks.

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the proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2015)

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