Skip to main navigation
Skip to search
Skip to main content
Hong Kong Baptist University Home
Help & FAQ
Home
Scholars
Departments / Units
Research Output
Projects / Grants
Prizes / Awards
Activities
Press/Media
Student theses
Datasets
Search by expertise, name or affiliation
Discovering global network communities based on local centralities
Bo Yang
*
,
Jiming LIU
*
Corresponding author for this work
Department of Computer Science
Research output
:
Contribution to journal
›
Journal article
›
peer-review
33
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Discovering global network communities based on local centralities'. Together they form a unique fingerprint.
Sort by:
Weight
Alphabetically
Keyphrases
Community-based
100%
Network Community
100%
Local Centrality
100%
Global Network
100%
Online Social Networks
33%
Complex Networks
33%
World Wide Web
33%
Eigenvector Centrality
33%
Network Applications
33%
Well-defined
33%
Cluster Performance
33%
Topological Structure
33%
Social World
33%
Good Example
33%
Topological Properties
33%
Hyperlinks
33%
Natural Network
33%
Potential Relationships
33%
Local Properties
33%
Computer Science
Network Community
100%
Global Network
100%
Online Social Network
33%
Complex Network
33%
Eigenvector Centrality
33%
Hyperlink
33%
Local Information
33%
Topological Structure
33%
Internet
33%