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The HRN rule allows agents to remain selfish and be able to break relationships in order to maximize their utility. Our experiment shows that when agents are able to break unrewarding relationships that a Pareto-optimum strategy arises as the social norm. In addition, the authors conclude the rate and amount of Pareto-optimum strategy that arises is dependent on the network structure when the networks are dynamic, and the rate is independent of the network structure when the networks are static.<\/p>","DOI":"10.4018\/jats.2010070104","type":"journal-article","created":{"date-parts":[[2010,9,8]],"date-time":"2010-09-08T00:03:52Z","timestamp":1283904232000},"page":"47-65","source":"Crossref","is-referenced-by-count":0,"title":["Simulating Cooperative Behaviors in Dynamic Networks"],"prefix":"10.4018","volume":"2","author":[{"given":"Yu","family":"Zhang","sequence":"first","affiliation":[{"name":"Trinity University, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jason","family":"Leezer","sequence":"additional","affiliation":[{"name":"Pervasive Software, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kenny","family":"Wong","sequence":"additional","affiliation":[{"name":"Trinity University, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"2432","reference":[{"key":"jats.2010070104-0","author":"G.Abramson","year":"2001","journal-title":"Social Games in a Social Network"},{"key":"jats.2010070104-1","doi-asserted-by":"crossref","unstructured":"Albert, R., & Barb'asi, A. 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