期刊论文

Peng Manman

英文

IEEE ACCESS

2169-3536

2019

7

151713-151723

10.1109/ACCESS.2019.2946744

The research was partially funded by the Key Program of National Natural Science Foundation of China (Grant Nos. 61133005, 61432005), the National Natural Science Foundation of China (Grant Nos. 61370095, 61472124, 61572175), International Science & Technology Cooperation Program of China (2015DFA11240). The work was supported by Research Project of the Education Department of Hunan Province (Grant No. 14C0210).

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Community discovery algorithms are important aspects of network science, especially as social network structures become more complex. Multi-mode social networks have recently become a challenging and popular topic in this field. At present, inner-mode relationship is mainly considered in community discovery algorithms for social networks. Thus, the effect of the these methods is not well in clustering as the intra-mode relationship is not considered in the clustering methods. In this paper, we propose a flexible and robust clustering framework, MRTA (the Multi-Similarity Regular Tri-Factorizat...