 Dynamic group formation in an online social networkReshawn Ramjattan, Nicholas Hosein, Patrick Hosein and Andre Knoesen Technological Forecasting and Social Change, 2022, vol. 176, issue C Abstract: For those seeking to recruit teammates for a specific purpose, like a project or study group, challenges quickly arise once they have exhausted their social circle. In the wake of the current pandemic, meeting new people that are right for a specific team is even more difficult than before due to the lack of in-person events. On social media platforms, users often have large networks of connections but have very few close personal relationships within them. This makes it difficult to find compatible people that share the same goal, and are interested in niche groups on those platforms. We present a scalable framework for establishing small online groups that balance two objectives, making the best group recommendations to users and guiding group hosts to the best users for their group. We illustrate this framework using three use cases. Lastly, we evaluate a serverless implementation using a large social media dataset to simulate a production environment and compare our framework to a network flow approach to solving the problem. Keywords: Online groups; Recruitment; Matchmaking; Network flow (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:176:y:2022:i:c:s0040162521008969 DOI: 10.1016/j.techfore.2021.121461 Access Statistics for this article Technological Forecasting and Social Change is currently edited by Fred Phillips More articles in Technological Forecasting and Social Change from Elsevier |
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