Identifying Hierarchical Community Structures in Content-Based Scholarly Social Networks

Community detection plays a pivotal role in social network analysis by partitioning networks into cohesive groups of vertices with dense intra-group connections and sparse inter-group connections. In this paper, we utilized a scholarly social network based on researchers' topic similarity deriv...

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Vydané v:	Proceedings (IEEE International Conference on Emerging Technologies and Factory Automation) s. 440 - 447
Hlavní autori:	Asaduzzaman Noor, Md, Sheppard, John W., A. Clark, Jason
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 18.12.2024
Predmet:	Clustering Clustering algorithms Correlation coefficient Detection algorithms Hierarchical Community Detection Knowledge engineering Machine learning Machine learning algorithms Measurement Metadata Partitioning algorithms Social networking (online) Social Networks Topic Models
ISSN:	1946-0759
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