139 citations · 283 across the 18 of their papers we have counts for
18 papers
Evaluating importance of nodes in complex networks with local volume information dimension
Hanwen Li, Qiuyan Shang, Fangzheng Duan +1
How to evaluate the importance of nodes is essential in research of complex network. There are many methods proposed for solving this problem, but they still have room to be improv…
A modified gravity model based on network efficiency for vital nodes identification in complex networks
Hanwen Li, Qiuyan Shang, Yong Deng
Vital nodes identification is an essential problem in network science. Various methods have been proposed to solve this problem. In particular, based on the gravity model, a series…
Identifying influential nodes in complex networks: Effective distance gravity model
Qiuyan Shang, Yong Deng, Kang Hao Cheong
The identification of important nodes in complex networks is an area of exciting growth due to its applications across various disciplines like disease controlling, community findi…
Vital Spreaders Identification in Complex Networks with Multi-Local Dimension
Tao Wen, Danilo Pelusi, Yong Deng
The important nodes identification has been an interesting problem in this issue. Several centrality measures have been proposed to solve this problem, but most of previous methods…
The vulnerability of communities in complex network: An entropy approach
Tao Wen, Yong Deng
Measuring the vulnerability of communities in complex network has become an important topic in the research of complex system. Numerous existing vulnerability measures have been pr…
Identification of influencers in complex networks by local information dimensionality
Tao Wen, Yong Deng
The identification of influential spreaders in complex networks is a popular topic in studies of network characteristics. Many centrality measures have been proposed to address thi…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
A new information dimension of complex networks
Daijun Wei, Bo Wei, Yong Hu +2
The fractal and self-similarity properties are revealed in many real complex networks. However, the classical information dimension of complex networks is not practical for real co…