Link prediction method based on complex network dynamics model
Link prediction is an important part of the study of missing links and future formations in complex networks.Currently,network structure-based link prediction methods are rich in results.Research on link prediction based on complex network dynamics model is rare.Firstly,a complex network dynamics mo...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
POSTS&TELECOM PRESS Co., LTD
2019-12-01
|
| Series: | 网络与信息安全学报 |
| Subjects: | |
| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2019065 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841529972776239104 |
|---|---|
| author | Yonghao PAN Hongtao YU Yiteng WU |
| author_facet | Yonghao PAN Hongtao YU Yiteng WU |
| author_sort | Yonghao PAN |
| collection | DOAJ |
| description | Link prediction is an important part of the study of missing links and future formations in complex networks.Currently,network structure-based link prediction methods are rich in results.Research on link prediction based on complex network dynamics model is rare.Firstly,a complex network dynamics model for unlicensed and undirected networks was constructed.Then the quantitative evaluation index of the link prediction node centrality based on the complex network dynamics model was given.Finally,the link prediction method defined by the complex network dynamics model was proposed by the given node centrality quantitative index.Experiments on real network datasets show that the proposed link prediction method has obvious prediction accuracy improvement. |
| format | Article |
| id | doaj-art-7217a0c8943140c8a1cf81cc551f4259 |
| institution | Kabale University |
| issn | 2096-109X |
| language | English |
| publishDate | 2019-12-01 |
| publisher | POSTS&TELECOM PRESS Co., LTD |
| record_format | Article |
| series | 网络与信息安全学报 |
| spelling | doaj-art-7217a0c8943140c8a1cf81cc551f42592025-01-15T03:13:50ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2019-12-015677459557121Link prediction method based on complex network dynamics modelYonghao PANHongtao YUYiteng WULink prediction is an important part of the study of missing links and future formations in complex networks.Currently,network structure-based link prediction methods are rich in results.Research on link prediction based on complex network dynamics model is rare.Firstly,a complex network dynamics model for unlicensed and undirected networks was constructed.Then the quantitative evaluation index of the link prediction node centrality based on the complex network dynamics model was given.Finally,the link prediction method defined by the complex network dynamics model was proposed by the given node centrality quantitative index.Experiments on real network datasets show that the proposed link prediction method has obvious prediction accuracy improvement.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2019065complex networklink predictionnetwork dynamics |
| spellingShingle | Yonghao PAN Hongtao YU Yiteng WU Link prediction method based on complex network dynamics model 网络与信息安全学报 complex network link prediction network dynamics |
| title | Link prediction method based on complex network dynamics model |
| title_full | Link prediction method based on complex network dynamics model |
| title_fullStr | Link prediction method based on complex network dynamics model |
| title_full_unstemmed | Link prediction method based on complex network dynamics model |
| title_short | Link prediction method based on complex network dynamics model |
| title_sort | link prediction method based on complex network dynamics model |
| topic | complex network link prediction network dynamics |
| url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2019065 |
| work_keys_str_mv | AT yonghaopan linkpredictionmethodbasedoncomplexnetworkdynamicsmodel AT hongtaoyu linkpredictionmethodbasedoncomplexnetworkdynamicsmodel AT yitengwu linkpredictionmethodbasedoncomplexnetworkdynamicsmodel |