Heuristics, Interactions, and Status Hierarchies: An Agent-Based Model of Deference Exchange

Autor/inn/en	Manzo, Gianluca; Baldassarri, Delia
Titel	Heuristics, Interactions, and Status Hierarchies: An Agent-Based Model of Deference Exchange
Quelle	In: Sociological Methods & Research, 44 (2015) 2, S.329-387 (59 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0049-1241
DOI	10.1177/0049124114544225
Schlagwörter	Heuristics; Statistical Distributions; Decision Making; Computation; Models; Nonverbal Communication; Power Structure; Interpersonal Relationship; Social Status; Equations (Mathematics); Least Squares Statistics; Regression (Statistics); Robustness (Statistics); Benchmarking; Social Indicators + Suchen Sie Ihr Suchwort? Heuristik; Wahrscheinlichkeitsverteilung; Decision-making; Entscheidungsfindung; Analogiemodell; Non-verbal communication; Nonverbale Kommunikation; Interpersonal relation; Interpersonal relations; Interpersonelle Beziehung; Zwischenmenschliche Beziehung; Sozialer Status; Equations; Mathematics; Gleichungslehre; Regression; Regressionsanalyse; Widerstandsfähigkeit; Social indicator; Sozialer Indikator
Abstract	Since Merton's classical analysis of cumulative advantage in science, it has been observed that status hierarchies display a sizable disconnect between actors' quality and rank and that they become increasingly asymmetric over time, without, however, turning into winner-take-all structures. In recent years, formal models of status hierarchies tried to account for these facts by combining two micro-level, counterbalancing mechanisms: "social influence" (supposedly driving inequality) and the desire for "reciprocation in deferential gestures" (supposedly limiting inequality). In the article, we adopt as empirical benchmark basic features that are common to most distributions of status indicators (e.g., income, academic prestige, wealth, social ties) and argue that previous formal models were only partially able to reproduce such macro-level patterns. We then introduce a novel agent-based computational model of deferential gestures that improves on the realism of previous models by introducing heuristic-based decision making, actors' heterogeneity, and status homophily in social interactions. We systematically and extensively study the model's parameter space and consider a few variants to determine under which conditions the macroscopic patterns of interest are more likely to appear. We find that specific forms of status-based heterogeneity in actors' propensity to interact with status-dissimilar others are needed to generate status hierarchies that best approximate these macroscopic features. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01