Which Centralities Fit the Best? Network Centralities' Ranking Based on the F-Measure. Issue 4 (19th May 2023)

• Record Type: Journal Article
• Authors: Belik, Ivan
• Is Part Of: Cybernetics and systems. Volume 54:Issue 4(2023)
• Page Start: 454
• Page End: 473
• Publication Date: 2023-05-19
• Subjects: Accuracy -- centrality -- F measure -- network analysis -- ranking; Cybernetics -- Periodicals; System theory -- Periodicals; 003.5
• DOI: 10.1080/01969722.2022.2062545
• Languages: English
• ISSNs: 0196-9722

Abstract

Abstract: The applicability of network centralities may depend on various factors. In practice, it is frequently challenging to understand which centralities are best applicable in a particular network. The current study addresses this challenge. It presents a method of ranking centralities that permits analysts to better understand which centralities are most appropriate for measuring positions in a particular network. The approach is based on the well-known F measure from the domain of statistical analysis of binary classification. Specifically, the classic F1 estimator of classification accuracy of binary classifiers was adapted for estimating the accuracy of centralities to identify positions in networks.