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Local optimization for clique-based overlap** community detection in complex networks
J Ma, J Fan - IEEE Access, 2019 - ieeexplore.ieee.org
Detecting communities in complex networks has been one of the most popular research
areas in recent years. There have been many community detection algorithms proposed to …
areas in recent years. There have been many community detection algorithms proposed to …
基于数据场的复杂网络节点影响力建模与仿真
邵晨曦， 陈小齐， 王行甫， 苗付友 - 系统仿真学报, 2020 - china-simulation.com
复杂网络节点影响力的研究是数据挖掘的重要组成部分. 挖掘出复杂网络中有影响力的节点不仅
具有重要的学术意义, 且有助于抑制流行病的爆发, 控制谣言的传播和推广电子商务产品等 …
具有重要的学术意义, 且有助于抑制流行病的爆发, 控制谣言的传播和推广电子商务产品等 …
Overlap** communities in co-purchasing and social interaction graphs: a memetic approach
Simple undirected graphs can be employed to represent numerous complex systems
including those arising in social networks, biological networks, communication networks …
including those arising in social networks, biological networks, communication networks …
Modeling and simulation on influence of complex network nodes based on data field in
C Shao, X Chen, X Wang… - Journal of …, 2020 - dc-china-simulation …
Research on the influence of complex network nodes is an important part of data mining.
Mining the influential nodes in complex networks not only has important academic …
Mining the influential nodes in complex networks not only has important academic …
A Complex Network Overlap** Community Detection Algorithm based on K-Cliques and Fitness Function
J Ma, J Fan - International Journal of Performability Engineering, 2019 - ijpe-online.com
This paper presents an algorithm for detecting overlap** communities in complex
networks. The algorithm draws on the idea of the clique as the core of the community, and …
networks. The algorithm draws on the idea of the clique as the core of the community, and …