Research on relevance between k-core and clustering coefficient in complex network
K-core analysis is an effective way to simplify the graphic topological structure.Many researches considered that the higher value k is,the more important the core is in complex network.But the relevance analysis between k-core and clustering coefficient has not been made.Experimental results show t...
Saved in:
Main Authors: | Jun LIU, Jian-zhong QIAO |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Department of Journal on Communications
2015-01-01
|
Series: | Tongxin xuebao |
Subjects: | |
Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015025/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Similar Items
-
Comparative Study of Earthquake Clustering in Indonesia Using K-Medoids, K-Means, DBSCAN, Fuzzy C-Means and K-AP Algorithms
by: Nurfidah Dwitiyanti, et al.
Published: (2024-12-01) -
Using the clustering method to find the final environmental parameters coefficients in road construction projects
by: Eshagh Rasouli Sarabi, et al.
Published: (2025-02-01) -
Cross-Community Question Relevance Prediction for Stack Overflow and GitHub
by: Song Yu, et al.
Published: (2025-01-01) -
USTU as the core of innovative territorial cluster «oil and gas technologies»
by: V. E. Kuleshov, et al.
Published: (2022-05-01) -
K-Means Clustering with Local Distance Privacy
by: Mengmeng Yang, et al.
Published: (2023-12-01)