Exploring community detection algorithms for sustainable social networks

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Publication Details

Journal
International Journal of Computational Vision and Robotics
Published
2025-01-01
DOI
https://doi.org/10.1504/ijcvr.2025.10072731
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Exploring community detection algorithms for sustainable social networks

Tabrej Ahamad Khan, Mohd Abdul Ahad, Imran Hussain, Siddhartha Sankar Biswas
International Journal of Computational Vision and Robotics
Complex Network Analysis Techniques
article

Exploring community detection algorithms for sustainable social networks

Tabrej Ahamad Khan, Mohd Abdul Ahad, Imran Hussain, Siddhartha Sankar Biswas
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Computational Vision and RoboticsVol. 1(1)
Openalex Percentile: Top 85%
Complex Network Analysis Techniques
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Exploring community detection algorithms for sustainable social networks — Tabrej Ahamad Khan, Mohd Abdul Ahad, et al. · International Journal of Computational Vision and Robotics (2025) | TGRS Research Map | TGRS