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Network-based modeling approaches have found various applications in epidemiology as a simple yet efficient way to represent the complexity of human relationships implicated in dissemination processes. However, most results have been obtained by considering social networks as steady stage structures. Evolving networks have not been explored. The objective is first to give an overview of network-based modeling attempts in epidemiology to analyze and understand the dissemination processes with an emphasis on dynamic networks. The authors approach is designed to understand the impact of social links dynamics on epidemic spread. The authors present the results obtained by combining network evolution patterns (link creation and deletion) and a typical epidemic model. The speed of link dynamics and the infection time strongly influence the occurrence and value of the epidemic peak.<\/p>","DOI":"10.4018\/jismd.2012070103","type":"journal-article","created":{"date-parts":[[2012,10,23]],"date-time":"2012-10-23T11:25:24Z","timestamp":1350991524000},"page":"46-65","source":"Crossref","is-referenced-by-count":2,"title":["Network-Based Modeling in Epidemiology"],"prefix":"10.4018","volume":"3","author":[{"given":"Erick","family":"Stattner","sequence":"first","affiliation":[{"name":"LAMIA Laboratory and University of the French West Indies and Guiana, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Martine","family":"Collard","sequence":"additional","affiliation":[{"name":"LAMIA Laboratory and University of the French West Indies and Guiana, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicolas","family":"Vidot","sequence":"additional","affiliation":[{"name":"LAMIA Laboratory and University of the French West Indies and Guiana, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"jismd.2012070103-0","doi-asserted-by":"publisher","DOI":"10.1103\/RevModPhys.74.47"},{"key":"jismd.2012070103-1","doi-asserted-by":"crossref","unstructured":"Angelova, R., & Weikum, G. 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