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SIoT is a part of various organizations that inherit the social interaction, and these organizations include industries, institutions, and other establishments. Triadic closure and homophily are the most commonly used measures to investigate social networks\u2019 formation and nature, where both measures are used exclusively or with statistical models. The triadic closure patterns are mapped for actors\u2019 communication behavior over a location-based social network, affecting the homophily. In this study, we investigate triads emergence in homophilic social networks. This evaluation is based on the empirical review of triads within social networks (SNs) formed on Big Data. We utilized a large location-based dataset for an in-depth analysis, the Chinese telecommunication-based anonymized call detail records (CDRs). Two other openly available datasets, Brightkite and Gowalla, were also studied. We identified and proposed three social triad classes in a homophilic network to feature the correlation between social triads and homophily. The study opened a promising research direction that relates the variation of homophily based on closure triads nature. The homophilic triads are further categorized into transitive and intransitive groups. As our concluding research objective, we examined the relative triadic throughput within a location-based social network for the given datasets. The research study attains significant results highlighting the positive connection between homophily and a specific social triad class.<\/jats:p>","DOI":"10.1155\/2021\/5553566","type":"journal-article","created":{"date-parts":[[2021,2,17]],"date-time":"2021-02-17T03:34:41Z","timestamp":1613532881000},"page":"1-10","source":"Crossref","is-referenced-by-count":1,"title":["Correlation between Triadic Closure and Homophily Formed over Location-Based Social Networks"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7940-1960","authenticated-orcid":true,"given":"Nauman Ali","family":"Khan","sequence":"first","affiliation":[{"name":"Key Laboratory of Wireless-Optical Communication, University of Science and Technology of China, Hefei 230027, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2229-2852","authenticated-orcid":true,"given":"Wuyang","family":"Zhou","sequence":"additional","affiliation":[{"name":"Key Laboratory of Wireless-Optical Communication, University of Science and Technology of China, Hefei 230027, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1615-4605","authenticated-orcid":true,"given":"Mudassar Ali","family":"Khan","sequence":"additional","affiliation":[{"name":"Department of Information Technology, The University of Haripur, Haripur 22620, Pakistan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8253-9709","authenticated-orcid":true,"given":"Ahmad","family":"Almogren","sequence":"additional","affiliation":[{"name":"Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh 11633, Saudi Arabia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8896-547X","authenticated-orcid":true,"given":"Ikram","family":"Ud Din","sequence":"additional","affiliation":[{"name":"Department of Information Technology, The University of Haripur, Haripur 22620, Pakistan"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2018.04.085"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1109\/access.2020.2995572"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1109\/access.2019.2918196"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1109\/access.2019.2940528"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.3390\/info11070341"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1145\/3150226"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1109\/mcom.2018.1700575"},{"first-page":"54","article-title":"The role of social connections in plagiarism detection","author":"A. 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