372 citations · 560 across the 10 of their papers we have counts for
9 papers · 1 filter
Spontaneous symmetry breaking and discontinuous phase transition for spreading dynamics in multiplex networks
Ningbo An, Hanshuang Chen, Chuang Ma +1
We propose a spreading model in multilayer networks and study the nature of nonequilibrium phase transition in the model. The model integrates the susceptible-infected-susceptible…
An improved belief propagation algorithm for detecting meso-scale structure in complex networks
Chuang Ma, Bing-Bing Xiang, Han-Shuang Chen +1
The framework of statistical inference has been successfully used to detect the meso-scale structures in complex networks, such as community structure, core-periphery (CP) structur…
Data based reconstruction of complex multiplex networks
Chuang Ma, Han-Shuang Chen, Xiang Li +2
It has been recognized that many complex dynamical systems in the real world require a description in terms of multiplex networks, where a set of common, mutually connected nodes b…
A statistical inference approach to structural reconstruction of complex networks from binary time series
Chuang Ma, Han-Shuang Chen, Ying-Cheng Lai +1
Complex networks hosting binary-state dynamics arise in a variety of contexts. In spite of previous works, to fully reconstruct the network structure from observed binary data rema…
Detection of core-periphery structure in networks by 3-tuple motifs
Chuang Ma, Bing-Bing Xiang, Hai-Feng Zhang +2
Recently, the core-periphery (CP) structure of networks as one type of meso-scale structure has received attention. The CP structure is composed of a dense core and a sparse connec…
A Unified Method of Detecting Core-Periphery Structure and Community Structure in Networks
Bing-Bing Xiang, Zhong-Kui Bao, Chuang Ma +3
Core-periphery structure and community structure are two typical meso-scale structures in complex networks. Though the community detection has been extensively investigated from di…
Improving link prediction in complex networks by adaptively exploiting multiple structural features of networks
Chuang Ma, Zhong-Kui Bao, Hai-Feng Zhang
So far, many network-structure-based link prediction methods have been proposed. However, these methods only highlight one or two structural features of networks, and then use the…
Playing the role of weak clique property in link prediction: A friend recommendation model
Chuang Ma, Tao Zhou, Hai-Feng Zhang
An important fact in studying the link prediction is that the structural properties of networks have significant impacts on the performance of algorithms. Therefore, how to improve…
Identifying influential spreaders in complex networks based on gravity formula
Ling-Ling Ma, Chuang Ma, Hai-Feng Zhang +1
How to identify the influential spreaders in social networks is crucial for accelerating/hindering information diffusion, increasing product exposure, controlling diseases and rumo…