{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T09:25:23Z","timestamp":1758273923676,"version":"3.37.3"},"reference-count":24,"publisher":"SAGE Publications","issue":"6","license":[{"start":{"date-parts":[[2015,6,1]],"date-time":"2015-06-01T00:00:00Z","timestamp":1433116800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"Central Universities Fundamental Research Funds of China","award":["N120317003"],"award-info":[{"award-number":["N120317003"]}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Distributed Sensor Networks"],"published-print":{"date-parts":[[2015,6,1]]},"abstract":"<jats:p> Revealing the structural features of social networks is vitally important to both scientific research and practice, and the explosive growth of online social networks in recent years has brought us dramatic advances to understand social structures. Here we proposed a community detection approach based on user interaction behavior in weighted dynamic online social networks. We researched interaction behaviors in online social networks and built a directed and unweighted network model in terms of the Weibo following relationships between social individuals at the very beginning. In order to refine the interaction behavior, level one fuzzy comprehensive evaluation model was employed to describe how closely individuals are connected to each other. According to this intimate degree description, weights are tagged to the prior unweighted model we built. Secondly, a heuristic community detection algorithm for dynamic network was provided based on the improved version of modularity called module density. As for the heuristic rule, we chose greedy strategy and merely fed the algorithms with the changed parts within neighboring time slice. Experimental results show that the proposed algorithm can obtain high accuracy and simultaneously get comparatively lower time complexity than some typical algorithms. More importantly, our algorithm needs no a priori conditions. <\/jats:p>","DOI":"10.1155\/2015\/306160","type":"journal-article","created":{"date-parts":[[2015,6,18]],"date-time":"2015-06-18T21:01:18Z","timestamp":1434661278000},"page":"306160","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["A Community Finding Method for Weighted Dynamic Online Social Network Based on User Behavior"],"prefix":"10.1177","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7863-1230","authenticated-orcid":false,"given":"Dongming","family":"Chen","sequence":"first","affiliation":[{"name":"Software College, Northeastern University, Shenyang 110819, China"}]},{"given":"Yanlin","family":"Dong","sequence":"additional","affiliation":[{"name":"Software College, Northeastern University, Shenyang 110819, China"}]},{"given":"Xinyu","family":"Huang","sequence":"additional","affiliation":[{"name":"Software College, Northeastern University, Shenyang 110819, China"}]},{"given":"Haiyan","family":"Chen","sequence":"additional","affiliation":[{"name":"East China University of Political Science and Law, Shanghai 200000, China"}]},{"given":"Dongqi","family":"Wang","sequence":"additional","affiliation":[{"name":"Software College, Northeastern University, Shenyang 110819, China"}]}],"member":"179","published-online":{"date-parts":[[2015,6,18]]},"reference":[{"doi-asserted-by":"publisher","key":"B1-2015-306160","DOI":"10.1109\/TASE.2010.2094608"},{"doi-asserted-by":"publisher","key":"B2-2015-306160","DOI":"10.1016\/j.future.2014.04.002"},{"issue":"3","key":"B3-2015-306160","first-page":"153","volume":"26","author":"Xu Z.","year":"2011","journal-title":"Computer Systems Science and Engineering"},{"doi-asserted-by":"publisher","key":"B4-2015-306160","DOI":"10.1016\/j.physrep.2009.11.002"},{"doi-asserted-by":"publisher","key":"B5-2015-306160","DOI":"10.1002\/j.1538-7305.1970.tb01770.x"},{"doi-asserted-by":"publisher","key":"B6-2015-306160","DOI":"10.1038\/35004572"},{"doi-asserted-by":"publisher","key":"B7-2015-306160","DOI":"10.1016\/j.physrep.2013.08.002"},{"doi-asserted-by":"publisher","key":"B8-2015-306160","DOI":"10.1103\/physreve.69.066133"},{"doi-asserted-by":"publisher","key":"B9-2015-306160","DOI":"10.1103\/revmodphys.74.47"},{"doi-asserted-by":"publisher","key":"B10-2015-306160","DOI":"10.1073\/pnas.122653799"},{"doi-asserted-by":"publisher","key":"B11-2015-306160","DOI":"10.1103\/physreve.70.056131"},{"doi-asserted-by":"publisher","key":"B12-2015-306160","DOI":"10.1073\/pnas.0307750100"},{"doi-asserted-by":"publisher","key":"B13-2015-306160","DOI":"10.1145\/1150402.1150467"},{"key":"B14-2015-306160","first-page":"184","volume":"20","author":"Shan B.","year":"2009","journal-title":"Journal of Software"},{"volume-title":"SIAM Internation Conference on Data Mining","author":"Ning H.","first-page":"261","key":"B15-2015-306160"},{"doi-asserted-by":"publisher","key":"B16-2015-306160","DOI":"10.1155\/2013\/161670"},{"doi-asserted-by":"publisher","key":"B17-2015-306160","DOI":"10.1155\/2012\/103702"},{"doi-asserted-by":"publisher","key":"B18-2015-306160","DOI":"10.1073\/pnas.0601602103"},{"doi-asserted-by":"publisher","key":"B19-2015-306160","DOI":"10.1038\/scientificamerican0503-60"},{"volume-title":"Comprehensive Evaluation Theory and Method","year":"2002","author":"Guo Y.","key":"B20-2015-306160"},{"doi-asserted-by":"publisher","key":"B23-2015-306160","DOI":"10.1073\/pnas.0605965104"},{"doi-asserted-by":"publisher","key":"B24-2015-306160","DOI":"10.1103\/physreve.77.036109"},{"doi-asserted-by":"publisher","key":"B25-2015-306160","DOI":"10.1103\/physreve.72.027104"},{"doi-asserted-by":"publisher","key":"B26-2015-306160","DOI":"10.1145\/1242572.1242805"}],"container-title":["International Journal of Distributed Sensor Networks"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/journals.sagepub.com\/doi\/pdf\/10.1155\/2015\/306160","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/journals.sagepub.com\/doi\/full-xml\/10.1155\/2015\/306160","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/journals.sagepub.com\/doi\/pdf\/10.1155\/2015\/306160","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,6]],"date-time":"2021-05-06T01:21:11Z","timestamp":1620264071000},"score":1,"resource":{"primary":{"URL":"http:\/\/journals.sagepub.com\/doi\/10.1155\/2015\/306160"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,6,1]]},"references-count":24,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2015,6,1]]}},"alternative-id":["10.1155\/2015\/306160"],"URL":"https:\/\/doi.org\/10.1155\/2015\/306160","relation":{},"ISSN":["1550-1477","1550-1477"],"issn-type":[{"type":"print","value":"1550-1477"},{"type":"electronic","value":"1550-1477"}],"subject":[],"published":{"date-parts":[[2015,6,1]]}}}