Community Structure Detection for Directed Networks through Modularity Optimisation
Networks constitute powerful means of representing various types of complex systems, where nodes denote the system entities and edges express the interactions between the entities. An important topological property in complex networks is community structure, where the density of edges within subgrap...
Main Authors: | Lingjian Yang, Jonathan C. Silva, Lazaros G. Papageorgiou, Sophia Tsoka |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2016-11-01
|
Series: | Algorithms |
Subjects: | |
Online Access: | http://www.mdpi.com/1999-4893/9/4/73 |
Similar Items
-
Community Detection Based on Differential Evolution Using Modularity Density
by: Caihong Liu, et al.
Published: (2018-08-01) -
Algorithm for Detecting Communities in Complex Networks Based on Hadoop
by: Mo Hai, et al.
Published: (2019-11-01) -
Survey on Community Detection in Multi-layer Networks
by: CHEN Kejia, CHEN Liming, WU Tong
Published: (2020-11-01) -
Post-Processing Partitions to Identify Domains of Modularity Optimization
by: William H. Weir, et al.
Published: (2017-08-01) -
Graph Clustering Based on Modularity Variation Estimations
by: N. N. Martynov, et al.
Published: (2018-09-01)