Soft overlap** community detection in large-scale networks via fast fuzzy modularity maximization
S Yazdanparast, TC Havens… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Soft overlap** clustering is one of the notable problems of community detection. Extensive
research has been conducted to develop efficient methods for nonoverlap** and crisp …
research has been conducted to develop efficient methods for nonoverlap** and crisp …
Detecting overlap** communities in modularity optimization by reweighting vertices
CK Tsung, HJ Ho, CY Chen, TW Chang, SL Lee - Entropy, 2020 - mdpi.com
On the purpose of detecting communities, many algorithms have been proposed for the
disjointed community sets. The major challenge of detecting communities from the real …
disjointed community sets. The major challenge of detecting communities from the real …
An optimized firefly algorithm based on cellular learning automata for community detection in social networks
H Rabani… - Journal of Advances in …, 2019 - jacr.sari.iau.ir
The structure of the community is one of the important features of social networks. A
community is a sub graph which nodes have a lot of connections to nodes of inside the …
community is a sub graph which nodes have a lot of connections to nodes of inside the …
A systematic review and bibliometric analysis of community detection methodologies in dynamic networks
N Makhija, SM Satapathy… - International Journal of …, 2021 - inderscienceonline.com
With the growing use of the internet, the number of relationships between individuals has
increased in large numbers. This has necessarily paved the way for community detection …
increased in large numbers. This has necessarily paved the way for community detection …
[PDF][PDF] Identifying Community Structure in Social Networks Using Node Similarity Based Permanence Concept
Indian Institute of Technology (BHU), Varanasi, India {hkshakya. rs. cse, kuldeep. rs. cse13,
shashankss. rs. cse16, ajayk. rs. cse16, bhaskar. cse}@ iitbhu. ac. in Abstract-Community …
shashankss. rs. cse16, ajayk. rs. cse16, bhaskar. cse}@ iitbhu. ac. in Abstract-Community …
A fine‐grained loop‐level parallel approach to efficient fuzzy community detection in complex networks
Determining the inner organizational structure of sets of networked elements is of paramount
importance to analyze real‐world systems such as social, biological, or economic networks …
importance to analyze real‐world systems such as social, biological, or economic networks …
Community Structure Identification in Social Networks Inspired by Parliamentary Political Competitions
Revealing the concealed community structure, that is vital to understanding the options of
networks, is a vital drawback in network and graph analysis. Throughout the last decade …
networks, is a vital drawback in network and graph analysis. Throughout the last decade …
[PDF][PDF] Community Detection in Social Networks using Improvised Evolutionary Algorithms
HK Shakya - 2018 - idr-lib.iitbhu.ac.in
1.1. Background Real world complex systems can be represented in the form of networks.
To understand the in-depth structure and detail function of those systems, it is important to …
To understand the in-depth structure and detail function of those systems, it is important to …