The Role of Network Structure and Initial Group Norm Distributions in Norm Conflict
Bibliographic Data
| ID | 20038022 |
|---|---|
| Authors | Julian Kohne (0000-0002-6710-7545, GESIS - Leibniz Institute for the Social Sciences), Natalie M Gallagher (0000-0001-8693-5066, Northwestern University), Natalie Gallagher, Z M Kirgil (0000-0003-2094-9996, University of Groningen), Rocco Paolillo (0000-0001-9816-5839, University of Bremen), Lars Padmos (University of Groningen), Fowzia Karimi (0000-0002-0037-2475, GESIS - Leibniz Institute for the Social Sciences), Fariba Karimi (0000-0002-2209-7590) |
| Year | 2020 |
| Pages | 113-140 |
| Publication date | 2020-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | CHAPTER |
| Venue | Computational Conflict Research (SOURCE_BOOK) |
| Publisher | Springer International Publishing (PUBLISHER • SG) |
| DOI | 10.1007/978-3-030-29333-8_6 |
| OpenAlex | W2953747904 |
| ISBN | 9783030293338 |
| Language | EN |
| Citations received | 2 |
| References cited | 63 |
Social norms can facilitate societal coexistence in groups by providing an implicitly shared set of expectations and behavioral guidelines. However, different social groups can hold different norms, and lacking an overarching normative consensus can lead to conflict within and between groups. In this chapter, we present an agent-based model that simulates the adoption of norms in two interacting groups. We explore this phenomenon while varying relative group sizes and homophily/heterophily (two features of network structure), and initial group norm distributions. Agents update their norm according to an adapted version of Granovetter's threshold model, using a uniform distribution of thresholds. We study the impact of network structure and initial norm distributions on the process of achieving normative consensus and the resulting potential for intragroup and intergroup conflict. Our results show that norm change is most likely when norms are strongly tied to group membership. Groups end up with the most similar norm distributions when networks are heterophilic, with small to middling minority groups. High homophilic networks show high potential intergroup conflict and low potential intragroup conflict, while the opposite pattern emerges for high heterophilic networks
Group structure · Homophily · Normative · Political science · Social group · Complex Network Analysis Techniques · Evolutionary Game Theory and Cooperation · Mathematics · Opinion Dynamics and Social Influence · Psychology · Social Psychology
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| Unique citing works | 2 |
|---|---|
| Citations per year | 0,4 |
| Citation span | 2021 - 2025 (5) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |