activity
20102020
most citedVital nodes identification in complex networks

1.2k citations · 2k across the 14 of their papers we have counts for

collaborators

14 papers

cs.IR2020★ 23 cited

Recommending investors for new startups by integrating network diffusion and investors' domain preference

Shuqi Xu, Qianming Zhang, Linyuan Lv +1

Over the past decade, many startups have sprung up, which create a huge demand for financial support from venture investors. However, due to the information asymmetry between inves…

physics.soc-ph2018

Segregation in Religion Networks

Jiantao Hu, Qian-Ming Zhang, Tao Zhou

Religious beliefs could facilitate human cooperation [1-6], promote civic engagement [7-10], improve life satisfaction [11-13] and even boom economic development [14-16]. On the ot…

physics.soc-ph2016★ 1.2k cited

Vital nodes identification in complex networks

Linyuan Lü, Duanbing Chen, Xiao-Long Ren +3

Real networks exhibit heterogeneous nature with nodes playing far different roles in structure and function. To identify vital nodes is thus very significant, allowing us to contro…

physics.soc-ph2015

Promotion and resignation in employee networks

Jia Yuan, Qian-Ming Zhang, Jian Gao +4

Enterprises have put more and more emphasis on data analysis so as to obtain effective management advices. Managers and researchers are trying to dig out the major factors that lea…

physics.soc-ph2014

Measuring multiple evolution mechanisms of complex networks

Qian-Ming Zhang, Xiao-Ke Xu, Yu-Xiao Zhu +1

Numerous concise models such as preferential attachment have been put forward to reveal the evolution mechanisms of real-world networks, which show that real-world networks are usu…

physics.soc-ph2014★ 3 cited

Whether Information Network Supplements Friendship Network

Lili Miao, Qian-Ming Zhang, Da-Chen Nie +1

Homophily is a significant mechanism for link prediction in complex network, of which principle describes that people with similar profiles or experiences tend to tie with each oth…

cs.SI2014★ 121 cited

Predicting missing links and their weights via reliable-route-based method

Jing Zhao, Lili Miao, Haiyang Fang +3

Link prediction aims to uncover missing links or predict the emergence of future relationships according to the current networks structure. Plenty of algorithms have been developed…

physics.soc-ph2013★ 101 cited

Geography and similarity of regional cuisines in China

Yu-Xiao Zhu, Junming Huang, Zi-Ke Zhang +3

Food occupies a central position in every culture and it is therefore of great interest to understand the evolution of food culture. The advent of the World Wide Web and online rec…

cs.IR2013★ 62 cited

Extracting the information backbone in online system

Qian-Ming Zhang, An Zeng, Ming-Sheng Shang

Information overload is a serious problem in modern society and many solutions such as recommender system have been proposed to filter out irrelevant information. In the literature…

physics.data-an2012★ 132 cited

Potential Theory for Directed Networks

Qian-Ming Zhang, Linyuan Lü, Wen-Qiang Wang +2

Uncovering factors underlying the network formation is a long-standing challenge for data mining and network analysis. In particular, the microscopic organizing principles of direc…

physics.soc-ph2011★ 89 cited

Evaluating Network Models: A Likelihood Analysis

Wen-Qiang Wang, Qian-Ming Zhang, Tao Zhou

Many models are put forward to mimic the evolution of real networked systems. A well-accepted way to judge the validity is to compare the modeling results with real networks subjec…

physics.soc-ph2011★ 203 cited

Link prediction in complex networks: a local na\"ıve Bayes model

Zhen Liu, Qian-Ming Zhang, Linyuan Lü +1

Common-neighbor-based method is simple yet effective to predict missing links, which assume that two nodes are more likely to be connected if they have more common neighbors. In su…

physics.data-an2011★ 53 cited

Uncovering missing links with cold ends

Yu-Xiao Zhu, Linyuan Lü, Qian-Ming Zhang +1

To evaluate the performance of prediction of missing links, the known data are randomly divided into two parts, the training set and the probe set. We argue that this straightforwa…

physics.data-an2010★ 30 cited

Similarity-Based Classification in Partially Labeled Networks

Qian-Ming Zhang, Ming-Sheng Shang, Linyuan Lu

We propose a similarity-based method, using the similarity between nodes, to address the problem of classification in partially labeled networks. The basic assumption is that two n…