Analysis of the Bound of Katz-Bonacic Centrality for Rooted Random Graphs

Abstract Centrality measures play an important role in network graph theory. They are widely used in social network analysis as tools to provide a measure of the importance of certain nodes. In this paper, we look at a specific measure, namely, the walk statistic and provide theoretical results on their values on rooted random trees, rooted random wheels and rooted fans.

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Journal
Journal of the Indian Society for Probability and Statistics
Published
2025-12-26
DOI
https://doi.org/10.1007/s41096-025-00268-2
Primary Topic
Complex Network Analysis Techniques
Type
article
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article

Analysis of the Bound of Katz-Bonacic Centrality for Rooted Random Graphs

S. H. Kim, Suman Balasubramanian, Nayeong Kong
Journal of the Indian Society for Probability and Statistics
Complex Network Analysis Techniques
article

Analysis of the Bound of Katz-Bonacic Centrality for Rooted Random Graphs

S. H. Kim, Suman Balasubramanian, Nayeong Kong
article en

Abstract

Abstract Centrality measures play an important role in network graph theory. They are widely used in social network analysis as tools to provide a measure of the importance of certain nodes. In this paper, we look at a specific measure, namely, the walk statistic and provide theoretical results on their values on rooted random trees, rooted random wheels and rooted fans.

Journal of the Indian Society for Probability and Statistics
DePauw University (US), Defiance College (US)
Reduced inequalities
Openalex Percentile: Top 31%
Complex Network Analysis Techniques
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