activity
20132021
most citedIdentification of influencers in complex networks by local information dimensionality

139 citations · 283 across the 18 of their papers we have counts for

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Showing 2014Show all

7 papers · 1 filter

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.AI2014★ 1 cited

Multiscale probability transformation of basic probability assignment

Meizhu Li, Qi Zhang, Yong Deng

Decision making is still an open issue in the application of Dempster-Shafer evidence theory. A lot of works have been presented for it. In the transferable belief model (TBM), pig…

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…

cs.SI2014

Modelling the Self-similarity in Complex Networks Based on Coulomb's Law

Haixin Zhang, Daijun Wei, Yong Hu +2

Recently, self-similarity of complex networks have attracted much attention. Fractal dimension of complex network is an open issue. Hub repulsion plays an important role in fractal…

physics.soc-ph2014★ 1 cited

Multi-fractal analysis of weighted networks

Daijun Wei, Xiaowu Chen, Cai Gao +3

In many real complex networks, the fractal and self-similarity properties have been found. The fractal dimension is a useful method to describe fractal property of complex networks…