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| Top-K Relative Community Query Method for Social Network |
| LI Zhi-Chao, CHEN Hua-Hui, QIAN Jiang-Bo, DONG Yi-Hong |
| Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315000 |
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Abstract To find top-K relative communities associated with the query point is of significance in practical research . In this paper, the concept of clique and relative community is defined, and a method to rapidly detect the top-K relative communities is explored. A down detection expansion algorithm is proposed. All the clique structures are detected from query point. By extending each clique structure outward to construct a community, the top-K relative communities of the query point is quickly acquired through loop iteration. Meanwhile, to reduce the searching space and computing time, the down detection expansion algorithm is improved. Through comprehensive experimental comparison, the validity of the original algorithm and the efficiency of improved algorithm is verified.
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Received: 09 June 2014
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2015, Vol. 28 
