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most citedLimitation of multi-resolution methods in community detection

40 citations · 164 across the 10 of their papers we have counts for

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Showing physics.soc-phShow all

8 papers · 1 filter

physics.soc-ph2016★ 20 cited

Enhancing community detection by local structural information

Ju Xiang, Ke Hu, Yan Zhang +7

Many real-world networks such as the gene networks, protein-protein interaction networks and metabolic networks exhibit community structures, meaning the existence of groups of den…

physics.soc-ph2015★ 16 cited

Analysis and perturbation of degree correlation in complex networks

Ju Xiang, Ke Hu, Tao Hu +2

Degree correlation is an important topological property common to many real-world networks. In this paper, the statistical measures for characterizing the degree correlation in net…

physics.soc-ph2014★ 35 cited

Multi-resolution community detection based on generalized self-loop rescaling strategy

Ju Xiang, Yan-Ni Tang, Yuan-Yuan Gao +4

Community detection is of considerable importance for analyzing the structure and function of complex networks. Many real-world networks may possess community structures at multipl…

physics.soc-ph2013

Robustness of Link-prediction Algorithm Based on Similarity and Application to Biological Networks

Liang Wang, Ke Hu, Yi Tang

Many algorithms have been proposed to predict missing links in a variety of real networks. These studies focus on mainly both accuracy and efficiency of these algorithms. However,…

physics.soc-ph2012★ 8 cited

Link Prediction in Complex Networks by Multi Degree Preferential-Attachment Indices

Ke Hu, Ju Xiang, Wanchun Yang +2

In principle, the rules of links formation of a network model can be considered as a kind of link prediction algorithm. By revisiting the preferential attachment mechanism for gene…

physics.soc-ph2011★ 5 cited

Immunization for complex network based on the effective degree of vertex

Ke Hu, Yi Tang

The basic idea of many effective immunization strategies is first to rank the importance of vertices according to the degrees of vertices and then remove the vertices from highest…