For the characteristics of topology structure attributes and edges' signed attributes in signed networks, a novel method of Signed Network Community Partition is proposed. Firstly, based on signed attributes, the initial center vertex is selected as random walk starting vertex. Secondly, according to the theory of metastable, confirm random walk step length L. Finally, achieve community partition of signed network on the basis of the maximum network modularity. Experiments show that the effect of community partition of this method is better than existing methods.
['Jingfeng Guo', 'Xiao Chen', 'Junli Yu', 'Chaozhi Fan', 'Miaomiao Liu']
Research of Community Partition Based on the Modularity in Signed Network