most citedTsallis information dimension of complex networks

35 citations · 68 across the 8 of their papers we have counts for

collaborators

8 papers

cs.SI20151 cited

Measure the similarity of nodes in the complex networks

Qi Zhang, Meizhu Li, Yong Deng +1

Measure the similarity of the nodes in the complex networks have interested many researchers to explore it. In this paper, a new method which is based on the degree centrality and…

cs.SI20151 cited

Nonextensive analysis on the local structure entropy of complex networks

Qi Zhang, Meizhu Li, Yuxian Du +2

The local structure entropy is a new method which is proposed to identify the influential nodes in the complex networks. In this paper a new form of the local structure entropy of…

cs.SI2015

Tsallis entropy of complex networks

Qi Zhang, Meizhu Li, Yong Deng +1

How complex of the complex networks has attracted many researchers to explore it. The entropy is an useful method to describe the degree of the of the complex networks. I…

cs.SI20152 cited

Identification of influential nodes in network of networks

Meizhu Li, Qi Zhang, Qi Liu +1

The network of networks(NON) research is focused on studying the properties of n interdependent networks which is ubiquitous in the real world. Identifying the influential nodes in…

cs.SI201420 cited

Local structure entropy of complex networks

Qi Zhang, Meizhu Li, Yuxian Du +1

Identifying influential nodes in the complex networks is of theoretical and practical significance. There are many methods are proposed to identify the influential nodes in the com…

cs.SI20144 cited

A new structure entropy of complex networks based on Tsallis nonextensive statistical mechanics

Qi Zhang, Xi Lu, Meizhu Li +2

The structure entropy is one of the most important parameters to describe the structure property of the complex networks. Most of the existing struc- ture entropies are based on th…