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The awareness is described by an exponential function. The existence of global positive solutions for the stochastic system in complex networks is obtained. The sufficient conditions are presented for the extinction and persistence of the disease. Under the conditions of disease persistence, the distance between the stochastic solution and the local disease equilibrium of the corresponding deterministic system is estimated in the time sense. Some numerical experiments are also presented to illustrate the theoretical results. Although the awareness introduced in the model cannot affect the extinction of the disease, the scale of the disease will eventually decrease as human awareness increases.<\/jats:p>","DOI":"10.1155\/2020\/3768083","type":"journal-article","created":{"date-parts":[[2020,5,28]],"date-time":"2020-05-28T23:33:13Z","timestamp":1590708793000},"page":"1-15","source":"Crossref","is-referenced-by-count":3,"title":["Evolutionary Dynamics of Stochastic SEIR Models with Migration and Human Awareness in Complex Networks"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8438-5491","authenticated-orcid":true,"given":"Yue","family":"Zhang","sequence":"first","affiliation":[{"name":"College of Science, Northeastern University, 110819 Shenyang, Liaoning, China"}]},{"given":"Yuxuan","family":"Li","sequence":"additional","affiliation":[{"name":"College of Science, Northeastern University, 110819 Shenyang, Liaoning, 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