Exploring Social-Historical Ties on Location-Based Social Networks
@inproceedings{Gao2012ExploringST, title={Exploring Social-Historical Ties on Location-Based Social Networks}, author={Huiji Gao and Jiliang Tang and Huan Liu}, booktitle={ICWSM}, year={2012} }
Location-based social networks (LBSNs) have become a popular form of social media in recent years. [] Key Method In particular, our model captures the property of user’s check-in history in forms of power-law distribution and short-term effect, and helps in explaining user’s check-in behavior. The experimental results on a real world LBSN demonstrate that our approach properly models user’s checkins and shows how social and historical ties can help location prediction.
240 Citations
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