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Main Authors: Hieu, Do Duy, Duong, Phan Thi Ha
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2403.08000
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author Hieu, Do Duy
Duong, Phan Thi Ha
author_facet Hieu, Do Duy
Duong, Phan Thi Ha
contents The issue of network community detection has been extensively studied across many fields. Most community detection methods assume that nodes belong to only one community. However, in many cases, nodes can belong to multiple communities simultaneously.This paper presents two overlapping network community detection algorithms that build on the two-step approach, using the extended modularity and cosine function. The applicability of our algorithms extends to both undirected and directed graph structures. To demonstrate the feasibility and effectiveness of these algorithms, we conducted experiments using real data.
format Preprint
id arxiv_https___arxiv_org_abs_2403_08000
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Overlapping community detection algorithms using Modularity and the cosine
Hieu, Do Duy
Duong, Phan Thi Ha
Social and Information Networks
Discrete Mathematics
Community detection
The issue of network community detection has been extensively studied across many fields. Most community detection methods assume that nodes belong to only one community. However, in many cases, nodes can belong to multiple communities simultaneously.This paper presents two overlapping network community detection algorithms that build on the two-step approach, using the extended modularity and cosine function. The applicability of our algorithms extends to both undirected and directed graph structures. To demonstrate the feasibility and effectiveness of these algorithms, we conducted experiments using real data.
title Overlapping community detection algorithms using Modularity and the cosine
topic Social and Information Networks
Discrete Mathematics
Community detection
url https://arxiv.org/abs/2403.08000