Edge classification based on Convolutional Neural Networks for community detection in complex network-Reference-Cited by-同舟云学术

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Edge classification based on Convolutional Neural Networks for community detection in complex network

Published:2020-10 Issue: Volume:556 Page:124826
ISSN:0378-4371
Container-title:Physica A: Statistical Mechanics and its Applications
language:en
Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

Cai Biao,Wang Yanpeng,Zeng Lina,Hu Yanmei,Li Hongjun

Funder

NSFC, China

Soft science fund of Sichuan Province

Open Fund of Key Laboratory of the Ministry of Education of China

Digital Media Science Innovation Team of CDUT, China

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistics and Probability

Reference37 articles.

1. Community detection in networks: A user guide;Fortunato;Phys. Rep.,2016

2. Community detection in graphs;Fortunato;Phys. Rep.,2010

3. Community detection method based on node density, degree centrality, and k-means clustering in complex network;Cai;Entropy,2019

4. A community integration strategy based on an improved modularity density increment for large-scale networks;Shang;Phys. A,2017

5. Superspreaders and superblockers based community evolution tracking in dynamic social networks;Xu;Knowl.-Based Syst.,2019

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