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Two methods are proposed to determine dynamically the extent of contact restriction during a virus outbreak. These methods are evaluated using two synthetic networks; the experimental results demonstrate the effectiveness of the methods in decreasing both infection rate and social distancing cost compared to naive methods.<\/jats:p>","DOI":"10.1007\/s13278-022-00953-1","type":"journal-article","created":{"date-parts":[[2022,9,9]],"date-time":"2022-09-09T06:02:42Z","timestamp":1662703362000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Mitigating virus spread through dynamic control of community-based social interactions for infection rate and cost"],"prefix":"10.1007","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2081-8112","authenticated-orcid":false,"given":"Ahmad","family":"Zareie","sequence":"first","affiliation":[]},{"given":"Rizos","family":"Sakellariou","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,9,9]]},"reference":[{"doi-asserted-by":"publisher","unstructured":"Acemoglu D, Chernozhukov V, Werning I, Whinston MD (2020) A multi-risk SIR model with optimally targeted lockdown. 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