Opinion Diversity and the Resilience of Cooperation in Dynamical Networks
Across various scenarios, individuals cooperate with others to contribute towards a shared goal and ensure self-preservation. In game theory, the act of cooperation is considered as an individual producing some form of benefit to be utilised by others, under the expectation others will return the fa...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-07-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/9/15/1801 |
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| author | Adam Lee Miles Matteo Cavaliere |
| author_facet | Adam Lee Miles Matteo Cavaliere |
| author_sort | Adam Lee Miles |
| collection | DOAJ |
| description | Across various scenarios, individuals cooperate with others to contribute towards a shared goal and ensure self-preservation. In game theory, the act of cooperation is considered as an individual producing some form of benefit to be utilised by others, under the expectation others will return the favour. In several scenarios, individuals make use of their own information to aid with their decision about who to connect and cooperate with. However, the choice of cooperation can be taken advantage of by opportunistic defectors, which can lead to significant disruption. This paper investigates how the diversity of opinion can contribute to the structure and mechanics of a dynamical network model and to the resilience of cooperation, by utilising a computational model where individuals make use of both public and private information to implement their decision. Our results show that increasing diversity leads to more stable, less connected and less prosperous networks coupled to more frequent, but shallower information cascades. Our work generally shows that the outcome of the conflict between cooperators and cheaters strongly depends on the interplay between population structure, individual decision making and individual opinions. |
| first_indexed | 2024-03-10T09:12:00Z |
| format | Article |
| id | doaj.art-5fac3db4762d4c8ba2375620ce73e623 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-10T09:12:00Z |
| publishDate | 2021-07-01 |
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| series | Mathematics |
| spelling | doaj.art-5fac3db4762d4c8ba2375620ce73e6232023-11-22T05:56:54ZengMDPI AGMathematics2227-73902021-07-01915180110.3390/math9151801Opinion Diversity and the Resilience of Cooperation in Dynamical NetworksAdam Lee Miles0Matteo Cavaliere1Department of Computing and Mathematics, John R. Dalton Building, All Saints Campus, Manchester M15 6BH, UKDepartment of Computing and Mathematics, John R. Dalton Building, All Saints Campus, Manchester M15 6BH, UKAcross various scenarios, individuals cooperate with others to contribute towards a shared goal and ensure self-preservation. In game theory, the act of cooperation is considered as an individual producing some form of benefit to be utilised by others, under the expectation others will return the favour. In several scenarios, individuals make use of their own information to aid with their decision about who to connect and cooperate with. However, the choice of cooperation can be taken advantage of by opportunistic defectors, which can lead to significant disruption. This paper investigates how the diversity of opinion can contribute to the structure and mechanics of a dynamical network model and to the resilience of cooperation, by utilising a computational model where individuals make use of both public and private information to implement their decision. Our results show that increasing diversity leads to more stable, less connected and less prosperous networks coupled to more frequent, but shallower information cascades. Our work generally shows that the outcome of the conflict between cooperators and cheaters strongly depends on the interplay between population structure, individual decision making and individual opinions.https://www.mdpi.com/2227-7390/9/15/1801graph theorygame theoryinformation cascadesagent-based model |
| spellingShingle | Adam Lee Miles Matteo Cavaliere Opinion Diversity and the Resilience of Cooperation in Dynamical Networks Mathematics graph theory game theory information cascades agent-based model |
| title | Opinion Diversity and the Resilience of Cooperation in Dynamical Networks |
| title_full | Opinion Diversity and the Resilience of Cooperation in Dynamical Networks |
| title_fullStr | Opinion Diversity and the Resilience of Cooperation in Dynamical Networks |
| title_full_unstemmed | Opinion Diversity and the Resilience of Cooperation in Dynamical Networks |
| title_short | Opinion Diversity and the Resilience of Cooperation in Dynamical Networks |
| title_sort | opinion diversity and the resilience of cooperation in dynamical networks |
| topic | graph theory game theory information cascades agent-based model |
| url | https://www.mdpi.com/2227-7390/9/15/1801 |
| work_keys_str_mv | AT adamleemiles opiniondiversityandtheresilienceofcooperationindynamicalnetworks AT matteocavaliere opiniondiversityandtheresilienceofcooperationindynamicalnetworks |