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References
Aggarwal CC, Zhai C (2012) Mining text data. Springer Science & Business Media, New York
Brockmann D, Hufnagel L, Geisel T (2006) The scaling laws of human travel. Nature 439(7075):462–465
Cheng Z, Caverlee J, Lee K, Sui DZ (2011) Exploring millions of footprints in location sharing services. In: Fifth international AAAI conference on weblogs and social media, AAAI Press, pp 81–88
Cheng C, Yang H, King I, Lyu MR (2012) Fused matrix factorization with geographical and social influence in location-based social networks. In: Proceedings of the twenty-sixth AAAI conference on artificial intelligence, AAAI Press, pp 17–23
Cheng C, Yang H, Lyu MR, King I (2013) Where you like to go next: successive point-of-interest recommendation. In: Proceedings of the twenty-third international joint conference on artificial intelligence, AAAI Press, pp 2605–2611
Cho E, Myers SA, Leskovec J (2011) Friendship and mobility: user movement in location-based social networks. In: Proceedings of the 17th ACM SIGKDD international conference on knowledge discovery and data mining, ACM, pp 1082–1090
Gao H, Tang J, Liu H (2012) Exploring social–historical ties on location-based social networks. In: Sixth international AAAI conference on weblogs and social media, AAAI
Gao H, Tang J, Hu X, Liu H (2013) Exploring temporal effects for location recommendation on location-based social networks. In: Proceedings of the 7th ACM conference on recommender systems, ACM, pp 93–100
Gao H, Tang J, Hu X, Liu H (2015) Content-aware point of interest recommendation on location-based social networks. In: Proceedings of the twenty-ninth AAAI conference on artificial intelligence, AAAI Press, pp 1721–1727
Ge Y, Li H, Zhu H (2016) Point-of-interest recommendations: learning potential check-ins from friends
Gonzalez MC, Hidalgo CA, Barabasi AL (2008) Understanding individual human mobility patterns. Nature 453(7196):779–782
Hu B, Ester M (2014) Social topic modeling for point-of-interest recommendation in location-based social networks. In 2014 I.E. international conference on data mining, IEEE, pp 845–850
Lian D, Ge Y, Zhang F, Yuan NJ, Xie X, Zhou T, Rui Y (2015) Content-aware collaborative filtering for location recommendation based on human mobility data. In: 2015 I.E. international conference on data mining (ICDM), IEEE, pp 261–270
Liu X, Liu Y, Li X (2016) Exploring the context of locations for personalized location recommendations. In: Proceedings of the 25th international conference on artificial intelligence
Ma H, Yang H, Lyu MR, King I (2008) Sorec: social recommendation using probabilistic matrix factorization. In: Proceedings of the 17th ACM conference on information and knowledge management, ACM, pp 931–940
Ma H, Zhou D, Liu C, Lyu MR, King I (2011) Recommender systems with social regularization. In: Proceedings of the fourth ACM international conference on web search and data mining, ACM, pp 287–296
Moosavi SA, Jalali M, Misaghian N, Shamshirband S, Anisi MH (2016) Community detection in social networks using user frequent pattern mining. Knowl Inf Syst:1–28
Otte E, Rousseau R (2002) Social network analysis: a powerful strategy, also for the information sciences. J Inf Sci 28(6):441–453
Pinheiro CAR (2011) Social network analysis in telecommunications, vol 37. Wiley, Hoboken
Sattari M, Manguoglu M, Toroslu IH, Symeonidis P, Senkul P, Manolopoulos Y (2012) Geoactivity recommendations by using improved feature combination. In: Proceedings of the 2012 ACM conference on ubiquitous computing, ACM, pp 996–1003
Scellato S, Noulas A, Mascolo C (2011) Exploiting place features in link prediction on location-based social networks. In: ACM SIGKDD international conference on knowledge discovery and data mining, San Diego, pp 1046–1054
Scott J (2012) Social network analysis. Sage, London
Sutskever I, Vinyals O, Le QV (2014) Sequence to sequence learning with neural networks. In: Advances in neural information processing systems, pp 3104–3112
van den Oord A, Kalchbrenner N, Kavukcuoglu K (2016) Pixel recurrent neural networks. In: Proceedings of the 33rd international conference on machine learning, JMLR, New York, pp 1747–1756
Wang Z, Liao J, Cao Q, Qi H, Wang Z (2015) Friendbook: a semantic-based friend recommendation system for social networks. IEEE Trans Mob Comput 14(3):538–551
Wang S, Wang Y, Tang J, Shu K, Ranganath S, Liu H (2017) What your images reveal: exploiting visual contents for point-of-interest recommendation. In: 26th international conference on World Wide Web
Yang D, Zhang D, Yu Z, Wang Z (2013) A sentiment-enhanced personalized location recommendation system. In: Proceedings of the 24th ACM conference on hypertext and social media, ACM, pp 119–128
Ye M, Yin P, Lee WC (2010) Location recommendation for location-based social networks. In: Proceedings of the 18th SIGSPATIAL international conference on advances in geographic information systems, ACM, pp 458–461
Yin H, Cui B, Chen L, Hu Z, Zhou X (2015) Dynamic user modeling in social media systems. ACM Trans Inf Syst 33(3):10
Yuan Q, Cong G, Ma Z, Sun A, Thalmann NM (2013) Time-aware point-of-interest recommendation. In: Proceedings of the 36th international ACM SIGIR conference on research and development in information retrieval, ACM, pp 363–372
Zhang H, King I, Lyu MR (2015) Incorporating implicit link preference into overlapping community detection. In: AAAI, pp 396–402
Zhao S, King I, Lyu MR (2013) Capturing geographical influence in POI recommendations. In: International conference on neural information processing, Springer, pp 530–537
Zhao S, Lyu MR, King I (2016a) Aggregated temporal tensor factorization for point-of-interest recommendation. In: International conference on neural information processing, Springer
Zhao S, Zhao T, Yang H, Lyu MR, King I (2016b) Stellar: spatial–temporal latent ranking for successive point-of-interest recommendation. In: Thirtieth AAAI conference on artificial intelligence
Zhao S, Zhao T, King I, Lyu MR (2017) Geo-Teaser: Geo-Temporal sequential embedding rank for point-of-interest recommendation. In: the 26th international conference on World Wide Web
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Zhao, S. (2018). Location-Based Social Network Analysis. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-7131-2_110219
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