Social network link prediction method based on subgraph evolution and improved ant colony optimization algorithm

Based on improved ant colony algorithm and subgraph evolution fusion, a new unsupervised social network link prediction method (SE-ACO) was proposed.First, the special subgraph was determined in the social network graph.Then the evolution of the subgraph was studied to predict the new links in the g...

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Main Authors: Qiuyang GU, Chunhua JU, Gongxing WU
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2020-12-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436X.2020223/
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author Qiuyang GU
Chunhua JU
Gongxing WU
author_facet Qiuyang GU
Chunhua JU
Gongxing WU
author_sort Qiuyang GU
collection DOAJ
description Based on improved ant colony algorithm and subgraph evolution fusion, a new unsupervised social network link prediction method (SE-ACO) was proposed.First, the special subgraph was determined in the social network graph.Then the evolution of the subgraph was studied to predict the new links in the graph, and the special subgraph was located by the ant colony method.Finally, using different network topology environments and data sets to test the proposed method.Compared with other unsupervised social network prediction algorithms, the proposed SE-ACO method has the best evaluation results, shorter running time and the best effect on most data sets, which indicates that graph structure plays an important role in link prediction algorithm.
format Article
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institution Kabale University
issn 1000-436X
language zho
publishDate 2020-12-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-04fc00304cc047ba8d6c8f98829ab3bb2025-01-14T07:21:15ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2020-12-0141213559738940Social network link prediction method based on subgraph evolution and improved ant colony optimization algorithmQiuyang GUChunhua JUGongxing WUBased on improved ant colony algorithm and subgraph evolution fusion, a new unsupervised social network link prediction method (SE-ACO) was proposed.First, the special subgraph was determined in the social network graph.Then the evolution of the subgraph was studied to predict the new links in the graph, and the special subgraph was located by the ant colony method.Finally, using different network topology environments and data sets to test the proposed method.Compared with other unsupervised social network prediction algorithms, the proposed SE-ACO method has the best evaluation results, shorter running time and the best effect on most data sets, which indicates that graph structure plays an important role in link prediction algorithm.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436X.2020223/link predictionant colony optimization algorithmsocial networksubgraph evolution
spellingShingle Qiuyang GU
Chunhua JU
Gongxing WU
Social network link prediction method based on subgraph evolution and improved ant colony optimization algorithm
Tongxin xuebao
link prediction
ant colony optimization algorithm
social network
subgraph evolution
title Social network link prediction method based on subgraph evolution and improved ant colony optimization algorithm
title_full Social network link prediction method based on subgraph evolution and improved ant colony optimization algorithm
title_fullStr Social network link prediction method based on subgraph evolution and improved ant colony optimization algorithm
title_full_unstemmed Social network link prediction method based on subgraph evolution and improved ant colony optimization algorithm
title_short Social network link prediction method based on subgraph evolution and improved ant colony optimization algorithm
title_sort social network link prediction method based on subgraph evolution and improved ant colony optimization algorithm
topic link prediction
ant colony optimization algorithm
social network
subgraph evolution
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436X.2020223/
work_keys_str_mv AT qiuyanggu socialnetworklinkpredictionmethodbasedonsubgraphevolutionandimprovedantcolonyoptimizationalgorithm
AT chunhuaju socialnetworklinkpredictionmethodbasedonsubgraphevolutionandimprovedantcolonyoptimizationalgorithm
AT gongxingwu socialnetworklinkpredictionmethodbasedonsubgraphevolutionandimprovedantcolonyoptimizationalgorithm