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VCs can be represented as networks, with users as nodes and relationships between users as edges. Information propagates through edges. In VC studies, it is important to know how the number of topics concerning the product grows over time and what network features make a user more influential than others in the information-spreading process. The existing literature has not provided a quantitative method with which to determine key points during the topic emergence process. Also, few researchers have considered the link between multilayer physical features and the nodes\u2019 spreading influence. In this paper, we present two new ideas to enrich network theory as applied to VCs: a novel application of an adjusted coefficient of determination to topic growth and an adjustment to the Jaccard coefficient to measure the connection between two users. A two-layer network model was first used to study the spread of topics through a VC. A random forest method was then applied to rank various factors that might determine an individual user\u2019s importance in topic spreading through a VC. Our research provides insightful ways for enterprises to mine information from VCs.<\/jats:p>","DOI":"10.1155\/2020\/6629318","type":"journal-article","created":{"date-parts":[[2020,11,26]],"date-time":"2020-11-26T21:05:06Z","timestamp":1606424706000},"page":"1-15","source":"Crossref","is-referenced-by-count":2,"title":["The Spread of Information in Virtual Communities"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7905-7269","authenticated-orcid":true,"given":"Zhen","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Statistics, The Chinese University of Hong Kong, Hong Kong SAR, China"}]},{"given":"Jin","family":"Du","sequence":"additional","affiliation":[{"name":"Department of Statistics, The Chinese University of Hong Kong, Hong Kong SAR, China"}]},{"given":"Qingchun","family":"Meng","sequence":"additional","affiliation":[{"name":"School of Management, Shandong University, Jinan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1372-5268","authenticated-orcid":true,"given":"Xiaoxia","family":"Rong","sequence":"additional","affiliation":[{"name":"School of Mathematics, Shandong University, Jinan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2744-9030","authenticated-orcid":true,"given":"Xiaodan","family":"Fan","sequence":"additional","affiliation":[{"name":"Department of Statistics, The Chinese University of Hong Kong, Hong Kong SAR, China"}]}],"member":"311","reference":[{"key":"1","volume-title":"Predictably Irrational: The Hidden Forces that Shape Our Decisions","author":"D. 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