activity
20052015
most citedRanking the spreading influence in complex networks

265 citations · 637 across the 15 of their papers we have counts for

collaborators

15 papers

physics.soc-ph2015★ 3 cited

Stability of similarity measurements for bipartite networks

Jian-Guo Liu, Lei Hou, Xue Pan +2

Similarity is a fundamental measure in network analyses and machine learning algorithms, with wide applications ranging from personalized recommendation to socio-economic dynamics.…

physics.soc-ph2015

Empirical Analysis of the Online Rating Systems

Xin-Yi Lu, Jian-Hong Lin, Qiang Guo +1

This paper is to analyze the properties of evolving bipartite networks from four aspects, the growth of networks, the degree distribution, the popularity of objects and the diversi…

cs.SI2015★ 1 cited

Locating influential nodes via dynamics-sensitive centrality

Jian-Hong Lin, Qiang Guo, Jian-Guo Liu +1

With great theoretical and practical significance, locating influential nodes of complex networks is a promising issues. In this paper, we propose a dynamics-sensitive (DS) central…

physics.soc-ph2014

Memory effect of the online user preference

Lei Hou, Xue Pan, Qiang Guo +1

The mechanism of the online user preference evolution is of great significance for understanding the online user behaviors and improving the quality of online services. Since users…

physics.soc-ph2014

A general method for identifying node spreading influence via the adjacent matrix and spreading rate

Jian-Hong Lin, Jian-Guo Liu, Qiang Guo

With great theoretical and practical significance, identifying the node spreading influence of complex network is one of the most promising domains. So far, various topology-based…

physics.soc-ph2014★ 265 cited

Ranking the spreading influence in complex networks

Jian-Guo Liu, Zhuo-Ming Ren, Qiang Guo

Identifying the node spreading influence in networks is an important task to optimally use the network structure and ensure the more efficient spreading in information. In this pap…