| Title: | Strategically positioning cooperators can facilitate the contagion of cooperation |
|---|
| Authors: | ID Yang, Guoli (Author) ID Cavaliere, Matteo (Author) ID Zhu, Cheng (Author) ID Perc, Matjaž (Author) |
| Files: | Yang-2021-Strategically_positioning_cooperator.pdf (5,68 MB) MD5: 103FD8783C19697E0671364F9F0BAAF0
https://doi.org/10.1038/s41598-020-80770-8
|
|---|
| Language: | English |
|---|
| Work type: | Scientific work |
|---|
| Typology: | 1.01 - Original Scientific Article |
|---|
| Organization: | FNM - Faculty of Natural Sciences and Mathematics
|
|---|
| Abstract: | The spreading of cooperation in structured population is a challenging problem which can be observed at diferent scales of social and biological organization. Generally, the problem is studied by evaluating the chances that few initial invading cooperators, randomly appearing in a network, can lead to the spreading of cooperation. In this paper we demonstrate that in many scenarios some cooperators are more infuential than others and their initial positions can facilitate the spreading of cooperation. We investigate six diferent ways to add initial cooperators in a network of cheaters, based on diferent network-based measurements. Our research reveals that strategically positioning the initial cooperators in a population of cheaters allows to decrease the number of initial cooperators necessary to successfully seed cooperation. The strategic positioning of initial cooperators can also help to shorten the time necessary for the restoration of cooperation. The optimal ways in which the initial cooperators should be placed is, however, non-trivial in that it depends on the degree of competition, the underlying game, and the network structure. Overall, our results show that, in structured populations, few cooperators, well positioned in strategically chosen places, can spread cooperation faster and easier than a large number of cooperators that are placed badly. |
|---|
| Keywords: | cooperation, evolutionary game theory, social physics, collective dynamics, complex system |
|---|
| Publication status: | Published |
|---|
| Publication version: | Version of Record |
|---|
| Submitted for review: | 25.08.2020 |
|---|
| Article acceptance date: | 22.12.2020 |
|---|
| Publication date: | 13.01.2021 |
|---|
| Publisher: | Nature Publishing Group |
|---|
| Year of publishing: | 2021 |
|---|
| Number of pages: | Str. 1-12 |
|---|
| Numbering: | Letn. 11, št. članka 1127 |
|---|
| PID: | 20.500.12556/DKUM-88850  |
|---|
| UDC: | 53 |
|---|
| ISSN on article: | 2045-2322 |
|---|
| COBISS.SI-ID: | 47493123  |
|---|
| DOI: | 10.1038/s41598-020-80770-8  |
|---|
| Publication date in DKUM: | 22.10.2024 |
|---|
| Views: | 185 |
|---|
| Downloads: | 10 |
|---|
| Metadata: |  |
|---|
| Categories: | Misc.
|
|---|
|
:
|
Copy citation |
|---|
| | | | Average score: | (0 votes) |
|---|
| Your score: | Voting is allowed only for logged in users. |
|---|
| Share: |  |
|---|
Hover the mouse pointer over a document title to show the abstract or click
on the title to get all document metadata. |