{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/loyalty-in-online-communities","title":"Loyalty in Online Communities","arxiv_id":"1703.03386","date":"2017-03-09","proceeding":null,"authors":["William L. Hamilton","Justine Zhang","Cristian Danescu-Niculescu-Mizil","Dan Jurafsky","Jure Leskovec"],"abstract":"Loyalty is an essential component of multi-community engagement. When users\nhave the choice to engage with a variety of different communities, they often\nbecome loyal to just one, focusing on that community at the expense of others.\nHowever, it is unclear how loyalty is manifested in user behavior, or whether\nloyalty is encouraged by certain community characteristics.\n  In this paper we operationalize loyalty as a user-community relation: users\nloyal to a community consistently prefer it over all others; loyal communities\nretain their loyal users over time. By exploring this relation using a large\ndataset of discussion communities from Reddit, we reveal that loyalty is\nmanifested in remarkably consistent behaviors across a wide spectrum of\ncommunities. Loyal users employ language that signals collective identity and\nengage with more esoteric, less popular content, indicating they may play a\ncurational role in surfacing new material. Loyal communities have denser\nuser-user interaction networks and lower rates of triadic closure, suggesting\nthat community-level loyalty is associated with more cohesive interactions and\nless fragmentation into subgroups. We exploit these general patterns to predict\nfuture rates of loyalty. Our results show that a user's propensity to become\nloyal is apparent from their first interactions with a community, suggesting\nthat some users are intrinsically loyal from the very beginning.","url_abs":"http://arxiv.org/abs/1703.03386v3","url_pdf":"http://arxiv.org/pdf/1703.03386v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"loyalty-in-online-communities","repo_url":"https://github.com/Arda-Bati/Reddit-Hyperlinks-Conflict-Prediction","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1703.03386","atlas_url":"https://app.syntology.ai/?focus=1703.03386","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}