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Updated: Jun 15, 2025

The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
Inferring the roles of individuals in collective systems using information-theoretic measures of influence
Sulimon Sattari1, Udoy S Basak2, M Mohiuddin3,4
1Research Institute for Electronic Science, Hokkaido University, Sapporo, Hokkaido 001‑0020, Japan.
Abstract:
In collective systems, influence of individuals can permeate an entire group through indirect interactionscom-plicating any scheme to understand individual roles from observations. A typical approach to understand an individuals influence on another involves consideration of confounding factors, for example, by conditioning on other individuals outside of the pair. This becomes unfeasible in many cases as the number of individuals increases. In this article, we review some of the unforeseen problems that arise in understanding individual influence in a collective such as single cells, as well as some of the recent works which address these issues using tools from information theory.
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