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The Network Dynamics of Intragroup C...
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Foley, Michael.
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The Network Dynamics of Intragroup Conflict.
Record Type:
Electronic resources : Monograph/item
Title/Author:
The Network Dynamics of Intragroup Conflict./
Author:
Foley, Michael.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2020,
Description:
122 p.
Notes:
Source: Dissertations Abstracts International, Volume: 82-02, Section: B.
Contained By:
Dissertations Abstracts International82-02B.
Subject:
Systems science. -
Online resource:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28087658
ISBN:
9798664738599
The Network Dynamics of Intragroup Conflict.
Foley, Michael.
The Network Dynamics of Intragroup Conflict.
- Ann Arbor : ProQuest Dissertations & Theses, 2020 - 122 p.
Source: Dissertations Abstracts International, Volume: 82-02, Section: B.
Thesis (Ph.D.)--Northeastern University, 2020.
This item must not be sold to any third party vendors.
To improve our understanding of the behaviors of humans and social animals, a more thorough study of conflict is necessary. We argue that the dynamics that occur within groups in the presence of conflict can significantly affect the conventions and norms that are adopted, and that greater insight into these interactions might ultimately be useful in enhancing group stability and cohesion. Historically, the methodologies required to effectively study conflict in group settings have been underdeveloped to deal with the complexities involved. To address this issue, we propose an interdisciplinary approach that employs robust computational and network science methods. First, using agent based modeling, we examine the adoption of conventions in games of conflict when dynamic network learning is present. We find that when agents are allowed to choose their neighbors, the adoption of host-guest norms is strongly favored over the adoption of ownership norms, and the dynamic network topologies that facilitate this difference are heavy-tailed in similar ways to many real world networks. Next, we expand upon the previous model to show that agents with different fitness levels can play different games, and this can have some profound effects on the evolutionary dynamics. Finally, we study the effect of gender and behavioral data on performance of small teams and leadership in a laboratory setting. We are able to show that gender has a significant effect on team efficiency, and we identify a number of behavioral features associated with leadership.
ISBN: 9798664738599Subjects--Topical Terms:
3168411
Systems science.
Subjects--Index Terms:
Network science
The Network Dynamics of Intragroup Conflict.
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Source: Dissertations Abstracts International, Volume: 82-02, Section: B.
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Advisor: Riedl, Christoph.
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To improve our understanding of the behaviors of humans and social animals, a more thorough study of conflict is necessary. We argue that the dynamics that occur within groups in the presence of conflict can significantly affect the conventions and norms that are adopted, and that greater insight into these interactions might ultimately be useful in enhancing group stability and cohesion. Historically, the methodologies required to effectively study conflict in group settings have been underdeveloped to deal with the complexities involved. To address this issue, we propose an interdisciplinary approach that employs robust computational and network science methods. First, using agent based modeling, we examine the adoption of conventions in games of conflict when dynamic network learning is present. We find that when agents are allowed to choose their neighbors, the adoption of host-guest norms is strongly favored over the adoption of ownership norms, and the dynamic network topologies that facilitate this difference are heavy-tailed in similar ways to many real world networks. Next, we expand upon the previous model to show that agents with different fitness levels can play different games, and this can have some profound effects on the evolutionary dynamics. Finally, we study the effect of gender and behavioral data on performance of small teams and leadership in a laboratory setting. We are able to show that gender has a significant effect on team efficiency, and we identify a number of behavioral features associated with leadership.
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https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28087658
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