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Emergence of group hierarchy

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Paper breakdownThe authors' claims, conditions and measurements, as JSON Signed receiptProof this review has not been altered
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Guillaume Deffuant, Thibaut Roubin

Multiagent Systems · Submitted 25 Aug 2022

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim In simulations starting from neutral opinions, we observe the emergence of a group hierarchy.

how it is stated · asserted 1.00 read the record →

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arXiv ID2208.12149 (version 1)
Pith IDOWYS5CEM, Pith's permanent record of this paper and its review
CitationGuillaume Deffuant, Thibaut Roubin. "Emergence of group hierarchy." arXiv:2208.12149 (2022). https://pith.science/paper/OWYS5CEM
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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 4,120 input tokens.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.07 · human participants 0.04 · controlled comparison 0.04 · randomized assignment 0.10 · states quantitative result 0.06 · compares with prior results 0.04 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

We consider an opinion dynamics model where, during random pair interactions, each agent modifies her opinions about both agents of the random pair and also about some other agents, chosen randomly. Moreover, each agent belongs to a single group and the opinions within the group are attracted to their average. In simulations starting from neutral opinions, we observe the emergence of a group hierarchy. We derive a moment approximation that provides equations ruling the evolution of the average opinion of agents in a group about the agents of another group. This approximation explains how the group hierarchy emerges.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 We consider an opinion dynamics model where, during random pair interactions, each agent modifies her opinions about both agents of the random pair and also about some other agents, chosen randomly. method 0.94 0.34 0.03 asserted 0.94
s1 Moreover, each agent belongs to a single group and the opinions within the group are attracted to their average. method 0.98 0.21 0.03 asserted 1.00
s2 In simulations starting from neutral opinions, we observe the emergence of a group hierarchy. result 1.00 0.95 0.80 asserted 1.00
s3 We derive a moment approximation that provides equations ruling the evolution of the average opinion of agents in a group about the agents of another group. method 0.80 0.95 0.08 asserted 1.00
s4 This approximation explains how the group hierarchy emerges. interpretation 0.93 0.86 0.36 asserted 1.00

What kind of paper the classifier reports this is: theoretical result 0.86 · evidence from simulation or computation 0.98.

What was examined, and what was not

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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

We consider an opinion dynamics model where, during random pair interactions, each agent modifies her opinions about both agents of the random pair and also about some other agents, chosen randomly. Moreover, each agent belongs to a single group and the opinions within the group are attracted to their average. In simulations starting from neutral opinions, we observe the emergence of a group hierarchy. We derive a moment approximation that provides equations ruling the evolution of the average opinion of agents in a group about the agents of another group. This approximation explains how the group hierarchy emerges.

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