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- W2016397010 abstract "DynamicNet, an effective and efficient algorithm for supporting community evolution detection in time-evolving information networks is presented and experimentally evaluated in this paper. DynamicNet introduces a graph-based model-theoretic approach to represent time-evolving information networks, and to capture how they change over time. A central feature of DynamicNet is represented by the ability of supporting matching-based community evolution detection, by identifying several classes of community transitions. Experimental results clearly demonstrate the reliability and the efficiency of our proposal." @default.
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- W2016397010 date "2013-01-01" @default.
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- W2016397010 title "<i>DynamicNet</i>" @default.
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- W2016397010 doi "https://doi.org/10.1145/2513591.2513658" @default.
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