{"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/friendship-and-mobility-user-movement-in","title":"Friendship and Mobility: User Movement In Location-Based Social Networks","arxiv_id":null,"date":"2011-08-21","proceeding":null,"authors":["E. Cho","S.A. Myers","J. Leskovec"],"abstract":"Even though human movement and mobility patterns have a high degree of freedom and variation, they also exhibit structural pat- terns due to geographic and social constraints. Using cell phone location data, as well as data from two online location-based social networks, we aim to understand what basic laws govern human mo- tion and dynamics. We find that humans experience a combination of periodic movement that is geographically limited and seemingly random jumps correlated with their social networks. Short-ranged travel is periodic both spatially and temporally and not effected by the social network structure, while long-distance travel is more in- fluenced by social network ties. We show that social relationships can explain about 10% to 30% of all human movement, while pe- riodic behavior explains 50% to 70%. Based on our findings, we develop a model of human mobility that combines periodic short range movements with travel due to the social network structure. We show that our model reliably predicts the locations and dynam- ics of future human movement and gives an order of magnitude better performance than present models of human mobility.","url_abs":"https://dl.acm.org/doi/abs/10.1145/2020408.2020579","url_pdf":"https://cs.stanford.edu/people/jure/pubs/mobile-kdd11.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":[],"tasks":[],"methods":[],"datasets_introduced":[{"slug":"brightkite","name":"Brightkite","full_name":""},{"slug":"gowalla","name":"Gowalla","full_name":"Gowalla"}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}