Overlapping Community Detection by Online Cluster Aggregation
نویسندگان
چکیده
We present a new online algorithm for detecting overlapping communities. The main ingredients are a modification of an online k-means algorithm and a new approach to modelling overlap in communities. An evaluation on large benchmark graphs shows that the quality of discovered communities compares favourably to several methods in the recent literature, while the running time is significantly improved.
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ورودعنوان ژورنال:
- CoRR
دوره abs/1504.06798 شماره
صفحات -
تاریخ انتشار 2015