Link prediction method for dynamic networks based on matching degree of nodes
The research of dynamic evolutionary trends and temporal characteristics in real networks which are important part of the real world is a hot research issue nowadays.As a typical research tool in the field of network science, link prediction technique can be used to predict the network evolution by...
Main Author: | Cong LI, Xinsheng JI, Ushuxin LI, Jinsong LI, Haitao LI |
---|---|
Format: | Article |
Language: | English |
Published: |
POSTS&TELECOM PRESS Co., LTD
2022-08-01
|
Series: | 网络与信息安全学报 |
Subjects: | |
Online Access: | http://www.infocomm-journal.com/cjnis/CN/10.11959/j.issn.2096-109x.2022053 |
Similar Items
-
A Novel Link Prediction Framework Based on Gravitational Field
by: Yanlin Yang, et al.
Published: (2023-01-01) -
Integrating Node Importance and Network Topological Properties for Link Prediction in Complex Network
by: Junxi Zhu, et al.
Published: (2023-07-01) -
Identifying Important Nodes in Complex Networks Based on Node Propagation Entropy
by: Yong Yu, et al.
Published: (2022-02-01) -
A Novel Global Prototype-Based Node Embedding Technique
by: Zyad Alkayem, et al.
Published: (2022-01-01) -
FONDUE: A Framework for Node Disambiguation and Deduplication Using Network Embeddings
by: Ahmad Mel, et al.
Published: (2021-10-01)