Author:
Koponen Ismo T.,Nousiainen Maija
Abstract
Abstract
Purpose
In small cooperative and collaborative groups, patterns of interaction, discourse and dialogue are often strongly bidirectional; ties are reciprocal and reciprocated. This reciprocation of ties leads to the formation of interaction patterns that are reciprocated dyads (two individuals connected reciprocally) and triads (three individuals connected reciprocally). In this study, we use an agent-based model to explore how such reciprocated dyadic and triadic patterns emerge from self-reinforced appreciation between peers in a small group.
Methods
The model assumes that the agents’ decisions to interact depend on how their self-appreciation compares to their appreciations of their peers (peer-appreciation). These comparisons are competitive in that an agent seek to increase its appreciation in relation to its peers. As a consequence, agents change their self-appreciation and appreciation towards their peers depending on their sensitivity to the competitive comparison.
Results
When agents’ sensitivity to competitive comparisons is low, the most common patterns of appreciation are egalitarian triads (all three agents appreciate each other), while for moderate sensitivity, leadership-type patterns emerge (one agent connected strongly to two other unconnected agents). When sensitivity is high, strong reciprocally connected dyads emerge. The model thus predicts thus a transition from egalitarian triads to strong dyads as agents’ sensitivity to competitive comparisons increases.
Conclusions
The structural similarity between patterns emerging as model results and patterns reported in empirical research suggests that: (1) reciprocation based on appreciation is a strong candidate for explaining the formation of such patterns, and (2) individual sensitivity to competitive comparisons of appreciation may be a key factor that can be used to the tune dynamics of interaction in small groups.
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications,Modelling and Simulation
Cited by
7 articles.
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