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20142026
most citedTsallis information dimension of complex networks

35 citations · 69 across the 14 of their papers we have counts for

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Showing cs.SIShow all

8 papers · 1 filter

cs.SI2015★ 1 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.SI2015★ 1 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.SI2015★ 2 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.SI2014★ 20 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.SI2014★ 4 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…

cs.SI2014★ 5 cited

A betweenness structure entropy of complex networks

Qi Zhang, Meizhu Li, Yong Deng

The structure entropy is an important index to illuminate the structure property of the complex network. Most of the existing structure entropies are based on the degree distributi…

cs.SI2014★ 35 cited

Tsallis information dimension of complex networks

Qi Zhang, Meizhu Li, Yong Deng +1

The fractal and self-similarity properties are revealed in many complex networks. In order to show the influence of different part in the complex networks to the information dimens…