Abstract
The inherent knowledge discovery problem regarding networks that represent complex real world phenomenon is a popular research topic. Specifically, in social network analysis (SNA), several community discovery techniques with various approaches have been put forward to distinguish closely related entities. Identifying the relevant techniques to utilize based on the context of the application is a key difficulty researchers face.
Keywords
Computer science
Data science
Context (archaeology)
Key (lock)
Set (abstract data type)
Face (sociological concept)
Knowledge extraction
Social network analysis
Quality (philosophy)
Data mining
Artificial intelligence
World Wide Web
Social media
Subject Areas
Complex Network Analysis Techniques
·Statistical and Nonlinear Physics ·Physical Sciences
Opinion Dynamics and Social Influence
·Statistical and Nonlinear Physics ·Physical Sciences
Peer-to-Peer Network Technologies
·Computer Networks and Communications ·Physical Sciences
Citations by Year
2021: 1
2022: 1
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