Coalitions and conflict: A longitudinal analysis of men's politics

Redhead, Daniel; Rueden, Christopher von

doi:10.1017/ehs.2021.26

Cited by 30 publications

(39 citation statements)

References 85 publications

(131 reference statements)

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“…Individuals operate within multiple, overlapping kinds of social relationships in their daily lives. For instance, individuals may be linked in friendship networks, kinship networks, cooperation networks, and/or coworking networks, and ties in one layer may change the probability of ties in another (Nicosia, Bianconi, Latora and Barthelemy, 2013;Redhead and von Rueden, 2021). For example, individuals may be more likely to provide social or material support to their friends or relatives, than to acquaintances or strangers (Barclay, 2016;O'Gorman, Wilson and Miller, 2005).…”

Section: Multilayer Networkmentioning

confidence: 99%

Friendship and partner choice in rural Colombia

Redhead

Ragione²,

Ross³

2023

Evolution and Human Behavior

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Section: Multilayer Networkmentioning

confidence: 99%

Friendship and partner choice in rural Colombia

Redhead

Ragione²,

Ross³

2023

Evolution and Human Behavior

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“…Co-residents and kin can develop additional conflicts within a social structure including over position in a status hierarchy or in economic exchange (Parker, Royle, and Hartley 2002;Hames 2015). Humans also develop coalitionary and inter-group conflicts across levels of social organization (e.g., kin, residential, or political levels) (Roscoe 2009;Glowacki, Wilson, and Wrangham 2017;Redhead and Von Rueden 2021).…”

Section: Sociality and Demands Of Conflict Resolutionmentioning

confidence: 99%

Correlates of conflict resolution across cultures

Garfield¹

2021

Preprint

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Conflicts are ubiquitous between individuals as well as between groups. Effective conflict resolution is essential for individual well-being and group functioning and often involves leadership dynamics. The evolutionary human sciences have suggested conflict resolution is shaped by psychological heuristics, norms, and ecology. There is limited empirical data, however, on conflict resolution across cultures. Using a cross-cultural database of 109 leadership dimensions coded from over 1,200 ethnographic texts from the eHRAF ethnographic database, exploratory analyses investigated correlates of conflict resolution. Results revealed greater evidence of conflict resolution among kin groups than political groups and greater evidence of within-group conflict resolution than between-group, which did not vary across subsistence strategies or group contexts, with two exceptions – military groups conflicts were biased towards between-group contexts and religious groups biased towards within-group contexts. The strongest predictors of conflict resolution services were other prosocial functions and included group representation and providing counsel, protection, and punishment, as well as qualities of interpersonal skills and fairness. Followers received social service benefits and reduced risk of harm. For leaders who resolve conflicts, status and social benefits were potential negative predictors. These results provide a comparative view of the correlates of conflict resolution, suggesting diversity across social contexts.

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“…For many substantive research questions, an individual's imperfect perception of their social relationships may be as (if not more) important as observable events of interaction or exchange. This has been highlighted by empirical research suggesting that individuals place considerable weight on their subjective relationships when making important decisions about who to cooperate with or support (Power, 2017;Redhead and von Rueden, 2021;von Rueden et al, 2019), and by work demonstrating that such relationships have strong associations with many important social and health-related outcomes (Kristiansen, 2004;Smith and Christakis, 2008).…”

Section: Introductionmentioning

confidence: 99%

Latent Network Models to Account for Noisy, Multiply-Reported Social Network Data

Bacco¹,

Contisciani²,

Cardoso-Silva³

et al. 2021

Preprint

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Social network data are often constructed by incorporating reports from multiple individuals. However, it is not obvious how to reconcile discordant responses from individuals. There may be particular risks with multiply-reported data if people's responses reflect normative expectations-such as an expectation of balanced, reciprocal relationships. Here, we propose a probabilistic model that incorporates ties reported by multiple individuals to estimate the unobserved network structure. In addition to estimating a parameter for each reporter that is related to their tendency of over-or under-reporting relationships, the model explicitly incorporates a term for "mutuality," the tendency to report ties in both directions involving the same alter. Our model's algorithmic implementation is based on variational inference, which makes it efficient and scalable to large systems. We apply our model to data from 75 Indian villages collected with a name-generator design, and a Nicaraguan community collected with a roster-based design. We observe strong evidence of "mutuality" in both datasets, and find that this value varies by relationship type. Consequently, our model estimates networks with reciprocity values that are substantially different than those resulting from standard deterministic aggregation approaches, demonstrating the need to consider such issues when gathering, constructing, and analysing survey-based network data.

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Coalitions and conflict: A longitudinal analysis of men's politics

Abstract: Abstract

Cited by 30 publications

References 85 publications

Friendship and partner choice in rural Colombia

Friendship and partner choice in rural Colombia

Correlates of conflict resolution across cultures

Latent Network Models to Account for Noisy, Multiply-Reported Social Network Data

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