arXiv:2611.06754 · v1

A Unified Framework for Extending Centrality Measures to Groups

首次提交 2026-11-05 00:34

版本更新 2026-11-05 00:34

雷达观测 2026-11-05 12:13

摘要

We propose a unified framework for extending centrality measures from individual nodes to groups. For each centrality measure, we introduce four group variants---maximum, minimum, sum, and proportional---which differ in how individual contributions are aggregated at the group level. The framework builds on a new unified perspective on major classes of centrality measures, according to which the score of a node can be expressed as a sum of assessments made by individual nodes, pairs of nodes, or groups of nodes. Each of the four variants then corresponds to a different rule for aggregating the assessments of the members of a group.