activity
20112020
most citedLimitation of multi-resolution methods in community detection

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

collaborators

10 papers

astro-ph.HE2020★ 16 cited

Studying the local magnetic field and anisotropy of magnetic turbulence by synchrotron polarization derivative

Jian-Fu Zhang, Ke Hu, Jungyeon Cho +1

Due to the inevitable accumulation of the observed information in the direction of the line of sight, it is difficult to measure the local magnetic field of MHD turbulence. However…

q-bio.MN2017★ 23 cited

Predicting disease-related genes by path-based similarity and community structure in protein-protein interaction network

Ke Hu, Jing-Bo Hu, Ju Xiang +4

Network-based computational approaches to predict unknown genes associated with certain diseases are of considerable significance for uncovering the molecular basis of human diseas…

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,…