An Investigation into the Sensitivity of Social Opinion Networks to Heterogeneous Goals and Preferences

Patrick Shepherd; Mia Weaver; Judy Goldsmith

doi:10.1109/ASONAM49781.2020.9381380

An Investigation into the Sensitivity of Social Opinion Networks to Heterogeneous Goals and Preferences

Patrick Shepherd, Mia Weaver, Judy Goldsmith

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

As research into the dynamics and properties of opinion diffusion on social networks has increased, so too has the attention paid to modeling such systems. Simulations using agent-based modeling (ABM) analyze aggregate network outcomes when individual agents act on typically limited information, and tend to focus on agents that are conforming and homophilic-that is, they prefer to be around similar others, and they update their own personal state over time to be more like their friends. In this work, we illustrate the value of diverse agent modeling in environments that allow for strategic unfriending. We focus on network dynamics generated by three agent models, or archetypes. Our work shows that polarization and consensus dynamics, as well as topological clustering effects, may rely more than previously known on the interplay between individuals' goals for the composition of their neighborhood's opinions.

Original language	English
Title of host publication	Proceedings of the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020
Editors	Martin Atzmuller, Michele Coscia, Rokia Missaoui
Pages	673-677
Number of pages	5
ISBN (Electronic)	9781728110561
DOIs	https://doi.org/10.1109/ASONAM49781.2020.9381380
State	Published - Dec 7 2020
Event	12th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020 - Virtual, Online, Netherlands Duration: Dec 7 2020 → Dec 10 2020

Publication series

Name	Proceedings of the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020

Conference

Conference	12th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020
Country/Territory	Netherlands
City	Virtual, Online
Period	12/7/20 → 12/10/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Information Systems and Management
Social Psychology
Communication

Access to Document

10.1109/ASONAM49781.2020.9381380

Cite this

Shepherd, P., Weaver, M., & Goldsmith, J. (2020). An Investigation into the Sensitivity of Social Opinion Networks to Heterogeneous Goals and Preferences. In M. Atzmuller, M. Coscia, & R. Missaoui (Eds.), Proceedings of the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020 (pp. 673-677). Article 9381380 (Proceedings of the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020). https://doi.org/10.1109/ASONAM49781.2020.9381380

Shepherd, Patrick ; Weaver, Mia ; Goldsmith, Judy. / An Investigation into the Sensitivity of Social Opinion Networks to Heterogeneous Goals and Preferences. Proceedings of the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020. editor / Martin Atzmuller ; Michele Coscia ; Rokia Missaoui. 2020. pp. 673-677 (Proceedings of the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020).

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abstract = "As research into the dynamics and properties of opinion diffusion on social networks has increased, so too has the attention paid to modeling such systems. Simulations using agent-based modeling (ABM) analyze aggregate network outcomes when individual agents act on typically limited information, and tend to focus on agents that are conforming and homophilic-that is, they prefer to be around similar others, and they update their own personal state over time to be more like their friends. In this work, we illustrate the value of diverse agent modeling in environments that allow for strategic unfriending. We focus on network dynamics generated by three agent models, or archetypes. Our work shows that polarization and consensus dynamics, as well as topological clustering effects, may rely more than previously known on the interplay between individuals' goals for the composition of their neighborhood's opinions.",

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Shepherd, P, Weaver, M & Goldsmith, J 2020, An Investigation into the Sensitivity of Social Opinion Networks to Heterogeneous Goals and Preferences. in M Atzmuller, M Coscia & R Missaoui (eds), Proceedings of the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020., 9381380, Proceedings of the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020, pp. 673-677, 12th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020, Virtual, Online, Netherlands, 12/7/20. https://doi.org/10.1109/ASONAM49781.2020.9381380

An Investigation into the Sensitivity of Social Opinion Networks to Heterogeneous Goals and Preferences. / Shepherd, Patrick; Weaver, Mia; Goldsmith, Judy.
Proceedings of the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020. ed. / Martin Atzmuller; Michele Coscia; Rokia Missaoui. 2020. p. 673-677 9381380 (Proceedings of the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Shepherd P, Weaver M, Goldsmith J. An Investigation into the Sensitivity of Social Opinion Networks to Heterogeneous Goals and Preferences. In Atzmuller M, Coscia M, Missaoui R, editors, Proceedings of the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020. 2020. p. 673-677. 9381380. (Proceedings of the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020). doi: 10.1109/ASONAM49781.2020.9381380

An Investigation into the Sensitivity of Social Opinion Networks to Heterogeneous Goals and Preferences

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

Access to Document

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