Group Vitality Indices: Axioms and Algorithms
Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence. Main Track. Pages 3461-3469.
https://doi.org/10.24963/ijcai.2026/385
Keywords
- Game Theory and Economic Paradigms: Cooperative games
- Multidisciplinary Topics and Applications: Web and social networks
Abstract
We consider the problem of assessing a group of nodes in a network. Our focus is on vitality indices—a natural class of centrality measures that evaluate the importance of a node by examining the impact of its removal on the network. We conduct a comprehensive analysis of group vitality indices. Specifically, we show that every vitality index admits a unique extension to groups, which can be defined using a group variant of the Shapley value recently proposed in the literature. We also provide an axiomatization of the entire class, along with two specific group vitality indices that satisfy additional normalization conditions. Furthermore, we study the computational properties of all vitality indices, as well as Group Attachment Centrality.
@inproceedings{ijcai2026p385,
title = {Group Vitality Indices: Axioms and Algorithms},
author = {Kucharczuk, Natalia and Skibski, Oskar},
booktitle = {Proceedings of the Thirty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-26}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Diego Calvanese},
pages = {3461--3469},
year = {2026},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2026/385},
url = {https://doi.org/10.24963/ijcai.2026/385},
}
TY - CPAPER TI - Group Vitality Indices: Axioms and Algorithms AU - Kucharczuk, Natalia AU - Skibski, Oskar T2 - Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-26 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2026 SP - 3461 EP - 3469 DO - 10.24963/ijcai.2026/385 UR - https://doi.org/10.24963/ijcai.2026/385 ER -Copied
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