A Study on Linguistic Z-Graph and Its Application in Social Networks
Rupkumar Mahapatra,
Sovan Samanta (),
Madhumangal Pal,
Tofigh Allahviranloo and
Antonios Kalampakas
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Rupkumar Mahapatra: Department of Applied Mathematics, Vidyasagar University, Midnapore 721102, West Bengal, India
Sovan Samanta: Department of Technical Sciences, Western Caspian University, Baku AZ1001, Azerbaijan
Madhumangal Pal: Department of Applied Mathematics, Vidyasagar University, Midnapore 721102, West Bengal, India
Tofigh Allahviranloo: Research Center of Performance and Productivity Analysis, Istinye University, Istanbul 34396, Türkiye
Antonios Kalampakas: College of Engineering and Technology, American University of the Middle East, Egaila 54200, Kuwait
Mathematics, 2024, vol. 12, issue 18, 1-24
Abstract:
This paper presents a comprehensive study of the linguistic Z-graph, which is a novel framework designed to analyze linguistic structures within social networks. By integrating concepts from graph theory and linguistics, the linguistic Z-graph provides a detailed understanding of language dynamics in online communities. This study highlights the practical applications of linguistic Z-graphs in identifying central nodes within social networks, which are crucial for online businesses in market capture and information dissemination. Traditional methods for identifying central nodes rely on direct connections, but social network connections often exhibit uncertainty. This paper focuses on using fuzzy theory, particularly linguistic Z-graphs, to address this uncertainty, offering more detailed insights compared to fuzzy graphs. Our study introduces a new centrality measure using linguistic Z-graphs, enhancing our understanding of social network structures.
Keywords: linguistic Z-graphs; fuzzy graphs; influential nodes; social networks; centrality measure (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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