• Ms. G.Umadevi
• Mr.K.R.HARINATH

Without relying on the social network data, our method offers a precise and practical mechanism for third-party application providers to identify whether a Foursquare user is influential. With regard to global social connectivity, content publication behavior, and the prediction of social influence, our study offers a systematic knowledge of Foursquare, the typical LBSN service. The analytical findings are beneficial for various pertinent entities: 1) When we look at Foursquare or other LBSN service providers globally, we gain a thorough picture of the social relationships. To put it another way, we create and examine the worldwide Foursquare social network, which has more than 60 million members. This graph is useful for researching how Foursquare spreads information and fosters social interactions. In the meanwhile, by consulting user profiles and published advice, We are aware of the global geographic distributions of users and locations. We also look at how user activity has changed over time. All of these details can help LBSN service providers plan resource provisioning to efficiently and scalability serve millions of customers. Additionally, they can extract user thoughts and actions by looking at the provided tips. The tip data may also be used for user profiling and venue recommendations; 2) To characterize the traffic patterns of LBSNs, Internet service providers (ISPs) can apply an evolutionary perspective to understand the geographic distribution, content generating behavior, and interaction patterns of users.

Predicting User Behavior Using Foursquare Data

"Predicting User Behavior Using Foursquare Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.g694-g697, July-2023, Available :http://www.jetir.org/papers/JETIR2307693.pdf

"Predicting User Behavior Using Foursquare Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppg694-g697, July-2023, Available at : http://www.jetir.org/papers/JETIR2307693.pdf