Parallel and distributed paradigms for community detection in social networks: A methodological review

D Naik, D Ramesh, AH Gandomi… - Expert Systems with …, 2022 - Elsevier
Community detection in social networks is the process of identifying the cohesive groups of
similar nodes. Detection of these groups can be helpful in many applications, such as …

[PDF][PDF] A review on overlapping and non-overlapping community detection algorithms for social network analytics

ES Negara, R Andryani - Far East Journal of Electronics and …, 2018 - academia.edu
Community detection is a common problem that exists in the data graph analytics as the
social networks analytics. In the context of social networks, community detection is aimed at …

Community detection in large-scale social networks: state-of-the-art and future directions

M Azaouzi, D Rhouma, L Ben Romdhane - Social Network Analysis and …, 2019 - Springer
Community detection is an important research area in social networks analysis where we
are concerned with discovering the structure of the social network. Detecting communities is …

Community detection methods in social network analysis

A Alamsyah, B Rahardjo - Advanced Science Letters, 2014 - ingentaconnect.com
In Social Network Analysis (SNA), community structure is an important feature of complex
network. There are many researches on detecting community or cluster in graph with the …

Community detection in social networks using hybrid merging of sub-communities

M Arab, M Afsharchi - Journal of network and computer applications, 2014 - Elsevier
Network vertices are often divided into groups or communities with dense connections within
communities and sparse connections between communities. Community detection has …

A classification of community detection methods in social networks: a survey

S Souravlas, A Sifaleras, M Tsintogianni… - … Journal of General …, 2021 - Taylor & Francis
The detection of community structures is a crucial research area. The problem of community
detection has received considerable attention from a large portion of the scientific …

Community detection using a new node scoring and synchronous label updating of boundary nodes in social networks

M Zarezade, E Nourani, A Bouyer - Journal of AI and Data …, 2020 - jad.shahroodut.ac.ir
Community structure is vital to discover the important structures and potential property of
complex networks. In recent years, the increasing quality of local community detection …

Classification and comparative evaluation of community detection algorithms

R Mittal, MPS Bhatia - Archives of Computational Methods in Engineering, 2021 - Springer
The area of social networks has kept growing and exhibits multiple types of interaction
among entities. This arrangement of nodes leads to the many kinds of studies in the social …

Community detection in social networks

P Bedi, C Sharma - Wiley interdisciplinary reviews: Data …, 2016 - Wiley Online Library
The expansion of the web and emergence of a large number of social networking sites
(SNS) have empowered users to easily interconnect on a shared platform. A social network …

[PDF][PDF] A survey on community detection methods in social networks

M Khatoon, WA Banu - International Journal of Education and …, 2015 - mecs-press.net
A social network is a social structure made up of a set nodes, which represents social actors
(such as people, organizations), and edges or lines represents relationship between these …