{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:10:37Z","timestamp":1760242237274,"version":"build-2065373602"},"reference-count":32,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2017,1,14]],"date-time":"2017-01-14T00:00:00Z","timestamp":1484352000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["H2020 FET OPEN RIA IBSEN\/662725","H2020 FETPROACT-GSS CIMPLEX\/641191"],"award-info":[{"award-number":["H2020 FET OPEN RIA IBSEN\/662725","H2020 FETPROACT-GSS CIMPLEX\/641191"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Games"],"abstract":"<jats:p>In this paper, we study how the pro-social impact due to the vigilance by other individuals is conditioned by both environmental and evolutionary effects. To this aim, we consider a known model where agents play a Prisoner\u2019s Dilemma Game (PDG) among themselves and the pay-off matrix of an individual changes according to the number of neighbors that are \u201cvigilant\u201d, i.e., how many neighbors watch out for her behavior. In particular, the temptation to defect decreases linearly with the number of vigilant neighbors. This model proved to support cooperation in specific conditions, and here we check its robustness with different topologies, microscopical update rules and initial conditions. By means of many numerical simulations and few theoretical considerations, we find in which situations the vigilance by the others is more effective in favoring cooperative behaviors and when its influence is weaker.<\/jats:p>","DOI":"10.3390\/g8010007","type":"journal-article","created":{"date-parts":[[2017,1,16]],"date-time":"2017-01-16T09:44:02Z","timestamp":1484559842000},"page":"7","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Social Pressure and Environmental Effects on Networks: A Path to Cooperation"],"prefix":"10.3390","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6151-1176","authenticated-orcid":false,"given":"Mar\u00eda","family":"Pereda","sequence":"first","affiliation":[{"name":"GISC (Grupo Interdisciplinar de Sistemas Complejos), Departamento de Matem\u00e1ticas, Universidad Carlos III de Madrid, 28911 Legan\u00e9s, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3485-9249","authenticated-orcid":false,"given":"Daniele","family":"Vilone","sequence":"additional","affiliation":[{"name":"GISC (Grupo Interdisciplinar de Sistemas Complejos), Departamento de Matem\u00e1ticas, Universidad Carlos III de Madrid, 28911 Legan\u00e9s, Spain"},{"name":"LABSS (Laboratory of Agent Based Social Simulation), Institute of Cognitive Science and Technology, National Research Council (CNR), Via Palestro 32, 00185 Rome, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2017,1,14]]},"reference":[{"key":"ref_1","unstructured":"Darwin, C. 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