{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T14:10:07Z","timestamp":1753884607426,"version":"3.41.2"},"reference-count":23,"publisher":"World Scientific Pub Co Pte Ltd","issue":"Supp05","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Inter. Net."],"published-print":{"date-parts":[[2022,7]]},"abstract":"<jats:p> In view of the noise of the data collected by the traditional multilateral cooperation mode of international migration governance, which leads to the small value of the actual task completion degree of the final mode, this paper designs a multilateral cooperation mode of international migration governance under the background of the community of human destiny based on big data sharing. Taking the governance process as the guidance, the multilateral cooperation database of international migration governance is constructed. In the multi direction of development, we should rely on the background of the community of human destiny to set up the legal construction system. The middleware data sharing model is built on the model of international migration governance, and the multi-lateral cooperation model structure of international migration governance is created by using big data sharing technology. After building the big data sharing architecture, simulate and set the data group of multilateral cooperation mode, and prepare two traditional multilateral cooperation modes and the designed multilateral cooperation mode for experiment. The results show that the designed multilateral cooperation mode has the highest task completion degree. <\/jats:p>","DOI":"10.1142\/s0219265921500225","type":"journal-article","created":{"date-parts":[[2022,2,4]],"date-time":"2022-02-04T04:56:51Z","timestamp":1643950611000},"source":"Crossref","is-referenced-by-count":1,"title":["Multilateral Cooperation on International Migration Governance in the Context of Community of Shared Human Destiny Based on Big Data Sharing"],"prefix":"10.1142","volume":"22","author":[{"given":"Ma","family":"Chen","sequence":"first","affiliation":[{"name":"Research Center for Smart Policing and Big Data Technology, China People\u2019s Police University, Langfang 065000, P. R. 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