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First, three types of future common neighbours (\n                    <jats:italic>FCNs<\/jats:italic>\n                    ) and their topological structures are proposed. Second, the concepts of endpoint weight influence, link weight influence, and high\u2010strength node influence are introduced. Then, the similarity based on the impacts of current common neighbours (\n                    <jats:italic>CCNs<\/jats:italic>\n                    ) and\n                    <jats:italic>FCNs<\/jats:italic>\n                    is defined, respectively. Finally, the two similarity indices are fused by the\n                    <jats:italic>DS<\/jats:italic>\n                    evidence theory. This model effectively integrates multisource information and completely exploits the influence of all\n                    <jats:italic>CCNs<\/jats:italic>\n                    and\n                    <jats:italic>FCNs<\/jats:italic>\n                    on similarity. Experiments are performed on 9 real and 40 simulation\u2010weighted datasets, and these findings are compared with several classic algorithms. Results show that the proposed method has higher precision than other methods, which can achieve good performance in link prediction in weighted networks.\n                  <\/jats:p>","DOI":"10.1155\/2022\/9151340","type":"journal-article","created":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T14:35:07Z","timestamp":1646145307000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Link Prediction Model for Weighted Networks Based on Evidence Theory and the Influence of Common Neighbours"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1667-9519","authenticated-orcid":false,"given":"Miaomiao","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1934-0131","authenticated-orcid":false,"given":"Yang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2085-5877","authenticated-orcid":false,"given":"Jing","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9515-1607","authenticated-orcid":false,"given":"Yongsheng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2022,3]]},"reference":[{"key":"e_1_2_9_1_2","first-page":"213","article-title":"Link prediction algorithm for signed social networks based on local and global tightness","volume":"17","author":"Liu M.","year":"2021","journal-title":"Journal of information Processing Systems"},{"key":"e_1_2_9_2_2","first-page":"1055","article-title":"Community discovery in weighted networks based on the similarity of common neighbors","volume":"15","author":"Liu M.","year":"2019","journal-title":"Journal of Information Processing System"},{"key":"e_1_2_9_3_2","doi-asserted-by":"publisher","DOI":"10.3390\/s20226560"},{"key":"e_1_2_9_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2021.104325"},{"key":"e_1_2_9_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.104772"},{"key":"e_1_2_9_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.chaos.2021.111230"},{"key":"e_1_2_9_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jksuci.2021.05.006"},{"key":"e_1_2_9_8_2","first-page":"1","article-title":"Link prediction in complex networks","volume":"49","author":"Liu W.","year":"2020","journal-title":"Journal of Information and Control"},{"key":"e_1_2_9_9_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-35423-2"},{"key":"e_1_2_9_10_2","first-page":"422","article-title":"Local similarity indices in link prediction","volume":"50","author":"Li Y.","year":"2021","journal-title":"Journal of University of Electronic Science and Technology of China"},{"key":"e_1_2_9_11_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-57304-y"},{"key":"e_1_2_9_12_2","doi-asserted-by":"publisher","DOI":"10.1142\/s0217979220503075"},{"key":"e_1_2_9_13_2","doi-asserted-by":"publisher","DOI":"10.1140\/epjb\/s10051-020-00037-z"},{"key":"e_1_2_9_14_2","first-page":"174","article-title":"Link Prediction algorithm combining with community relations and community information of common neighbors","volume":"35","author":"Yi C.","year":"2021","journal-title":"Journal of Electronic and Instrumentation"},{"key":"e_1_2_9_15_2","first-page":"127","article-title":"A method of link prediction in directed network based on effective connectivity path","volume":"50","author":"Li Z.","year":"2021","journal-title":"Journal of University of Electronic Science and Technology of China"},{"key":"e_1_2_9_16_2","doi-asserted-by":"publisher","DOI":"10.1002\/for.2745"},{"key":"e_1_2_9_17_2","doi-asserted-by":"publisher","DOI":"10.1063\/1.5094448"},{"key":"e_1_2_9_18_2","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2021.3100889"},{"key":"e_1_2_9_19_2","doi-asserted-by":"crossref","unstructured":"MurataT.andMoriyasuS. 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