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This paper proposed a novel early emerging topic detection and its evolution law identification framework based on dynamic community detection method on time\u2010evolving and scalable heterogeneous social networks. The framework is composed of three major steps. Firstly, a time\u2010evolving and scalable complex network denoted as KeyGraph is built up by deeply analyzing the text features of all kinds of data crawled from heterogeneous online social network platforms; secondly, a novel dynamic community detection method is proposed by which the new emerging topic is detected on the modeled time\u2010evolving and scalable KeyGraph network; thirdly, a unified directional topic propagation network modeled by a great number of short texts including microblogs and news titles is set up, and the topic evolution law of the previously detected early emerging topic is identified by fully utilizing local network variations and modularity optimization of the \u201ctime\u2010evolving\u201d and directional topic propagation network. Our method is proved to yield preferable results on both a huge amount of computer\u2010generated test data and a great amount of real online network data crawled from mainstream heterogeneous social networks.<\/jats:p>","DOI":"10.1155\/2021\/8859225","type":"journal-article","created":{"date-parts":[[2021,8,27]],"date-time":"2021-08-27T17:21:38Z","timestamp":1630084898000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["A Novel Emerging Topic Identification and Evolution Discovery Method on Time\u2010Evolving and Heterogeneous Online Social Networks"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9542-7490","authenticated-orcid":false,"given":"Xiaoyan","family":"Xu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5095-5145","authenticated-orcid":false,"given":"Wei","family":"Lv","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2276-248X","authenticated-orcid":false,"given":"Beibei","family":"Zhang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2608-608X","authenticated-orcid":false,"given":"Shuaipeng","family":"Zhou","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8751-9205","authenticated-orcid":false,"given":"Wei","family":"Wei","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1179-4710","authenticated-orcid":false,"given":"Yusen","family":"Li","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,8,27]]},"reference":[{"key":"e_1_2_8_1_2","volume-title":"The 45th Development Statistic Report of Internet of China","author":"China Internet Network Information Center","year":"2020"},{"key":"e_1_2_8_2_2","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.122653799"},{"key":"e_1_2_8_3_2","doi-asserted-by":"publisher","DOI":"10.1103\/physreve.64.046132"},{"key":"e_1_2_8_4_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0011976"},{"key":"e_1_2_8_5_2","doi-asserted-by":"crossref","unstructured":"DengJ. 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