Link prediction methods based on generalized common neighbor in directed network
Link prediction aims to predict missing or future links through currently observed information of network.Existing mainstream methods are mostly applied to undirected network,and some methods designed for directed network ignored the diverse heterogeneous features of common neighbor.For this problem...
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POSTS&TELECOM PRESS Co., LTD
2020-10-01
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Series: | 网络与信息安全学报 |
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Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2020059 |
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author | Xuelei ZHAO Xinsheng JI Shuxin LIU Yu ZHAO |
author_facet | Xuelei ZHAO Xinsheng JI Shuxin LIU Yu ZHAO |
author_sort | Xuelei ZHAO |
collection | DOAJ |
description | Link prediction aims to predict missing or future links through currently observed information of network.Existing mainstream methods are mostly applied to undirected network,and some methods designed for directed network ignored the diverse heterogeneous features of common neighbor.For this problem,a generalized common neighbor algorithm was proposed.Firstly,a generalized common neighbor was defined for the directed network.Then the degree of contribution of different structures was measured by the joint edge probability of the directed neighbor isomers,and the existing undirected local similarity index is improved by the new definition,redefining eight kinds of directed similarity indicators based on generalized common neighbor.Experiments on 12 datasets show that proposed method generally improves the performance of existing predictive indicators under two metrics. |
format | Article |
id | doaj-art-fa8ee165d01044a88ee304e22fe7aadf |
institution | Kabale University |
issn | 2096-109X |
language | English |
publishDate | 2020-10-01 |
publisher | POSTS&TELECOM PRESS Co., LTD |
record_format | Article |
series | 网络与信息安全学报 |
spelling | doaj-art-fa8ee165d01044a88ee304e22fe7aadf2025-01-15T03:14:25ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2020-10-0168910059561017Link prediction methods based on generalized common neighbor in directed networkXuelei ZHAOXinsheng JIShuxin LIUYu ZHAOLink prediction aims to predict missing or future links through currently observed information of network.Existing mainstream methods are mostly applied to undirected network,and some methods designed for directed network ignored the diverse heterogeneous features of common neighbor.For this problem,a generalized common neighbor algorithm was proposed.Firstly,a generalized common neighbor was defined for the directed network.Then the degree of contribution of different structures was measured by the joint edge probability of the directed neighbor isomers,and the existing undirected local similarity index is improved by the new definition,redefining eight kinds of directed similarity indicators based on generalized common neighbor.Experiments on 12 datasets show that proposed method generally improves the performance of existing predictive indicators under two metrics.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2020059directed networklink predictioncommon neighborheterogeneous fusion |
spellingShingle | Xuelei ZHAO Xinsheng JI Shuxin LIU Yu ZHAO Link prediction methods based on generalized common neighbor in directed network 网络与信息安全学报 directed network link prediction common neighbor heterogeneous fusion |
title | Link prediction methods based on generalized common neighbor in directed network |
title_full | Link prediction methods based on generalized common neighbor in directed network |
title_fullStr | Link prediction methods based on generalized common neighbor in directed network |
title_full_unstemmed | Link prediction methods based on generalized common neighbor in directed network |
title_short | Link prediction methods based on generalized common neighbor in directed network |
title_sort | link prediction methods based on generalized common neighbor in directed network |
topic | directed network link prediction common neighbor heterogeneous fusion |
url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2020059 |
work_keys_str_mv | AT xueleizhao linkpredictionmethodsbasedongeneralizedcommonneighborindirectednetwork AT xinshengji linkpredictionmethodsbasedongeneralizedcommonneighborindirectednetwork AT shuxinliu linkpredictionmethodsbasedongeneralizedcommonneighborindirectednetwork AT yuzhao linkpredictionmethodsbasedongeneralizedcommonneighborindirectednetwork |