{Scellato11} Salvatore Scellato, Anastasios Noulas, Renaud Lambiotte and Cecilia Mascolo. Socio-spatial Properties of Online Location-based Social Networks. Proc. of AAAI ICWSM, 2011. Socio-spatial Properties; avg. geo distances between users/friends; in LBSNs long-range social ties have a higher probability of occurrence than in other social systems; social triangles
{Scellato11b} Salvatore Scellato, Anastasios Noulas, Cecilia Mascolo. Exploiting Place Features in Link Prediction on Location-based Social Networks. Proc. of KDD, 2011.
{Cho11} Eunjooon Cho, Seth A. Myers, Jure Leskovec. Friendship and Mobility: User Movement In Location-Based Social Networks. Proc. of ACM KDD, 2011.
{Noulas11} Anastasios Noulas, Salvatore Scellato, Cecilia Mascolo, Massimiliano Pontil. An Empirical Study of Geographic User Activity Patterns in Foursquare. Proc. of AAAI ICWSM, 2011. Geo-temporal; Checkin behaviors: place categories, inter-check times/distances, Top-20 Activity Transition Probability, Place Transition
{Ye11} Mao Ye, Krzysztof Janowicz, Christoph Mülligann, and Wang-Chien Lee. What you are is when you are: the temporal dimension of feature types in location-based social networks. Proc. of ACM GIS, 2011.
{Wang11} D. Wang, D. Pedreschi, et al. Human Mobility, Social Ties, and Link Prediction. Proc. of ACM KDD, 2011.
{Vasconcelos12} Marisa Affonso Vasconcelos, Saulo Ricci, Jussara Almeida, Fabrício Benevenuto, and Virgílio Almeida. Tips, Dones and To-Dos: Uncovering User Profiles in FourSquare. Proc. of ACM WSDM, 2012.
{Noulas12} Anastasios Noulas, Salvatore Scellato, Neal Lathia and Cecilia Mascolo. Mining User Mobility Features for Next Place Prediction in Location-based Services. Proc. of IEEE ICDM, 2012.
{Allamanis12} Miltiadis Allamanis, Salvatore Scellato, Cecilia Mascolo. Evolution of a location-based online social network: analysis and models. Proc. of ACM IMC, 2012. proximity both over physical and social dimensions fosters the creation of new social links
{Chen13}Terence Chen, Mohamed Ali Kaafar, Roksana Boreli. The Where and When of Finding New Friends: Analysis of a Location-based Social Discovery Network. Proc. of AAAI ICWSM, 2013. Momo measurement
{Preoţiuc-Pietro13} Daniel Preoţiuc-Pietro, Trevor Cohn. Mining User Behaviours: A Study of Check-in Patterns in Location Based Social Networks. Proc. of ACM WebSci, 2013.
{Karamshuk13} Dmytro Karamshuk, Anastasios Noulas, Salvatore Scellato, Vincenzo Nicosia, Cecilia Mascolo. Geo-Spotting: Mining Online Location-based Services for Optimal Retail Store Placement. Proc. of ACM KDD, 2013.
{Dong14} Yuxiao Dong, Yang Yang et al. Inferring User Demographics and Social Strategies in Mobile Social Networks. Proc. of ACM KDD, 2014.
{Cici14} Blerim Cici, Athina Markopoulou, Enrique Frías-Martínez, Nikolaos Laoutaris. Assessing the Potential of Ride-Sharing Using Mobile and Social Data – A Tale of Four Cities. Proc. of ACM UbiComp, 2014. ride-share v.s. mobile social
{Aditya14} Paarijaat Aditya, Viktor Erdélyi, Matthew Lentz, Elaine Shi, Bobby Bhattacharjee, and Peter Druschel. 2014. EnCore: private, context-based communication for mobile social apps. Proc. of ACM MobiSys, 2014.
{Li14} Muyuan Li, Haojin Zhu, Zhaoyu Gao, Si Chen, Le Yu, Shangqian Hu, and Kui Ren. All Your Location are Belong to Us: Breaking Mobile Social Networks for Automated User Location Tracking. Proc. of ACM MobiHoc, 2014.
{Wang14} Cheng Wang, Shaojie Tang, Lei Yang, Yi Guo, Fan Li, and Changjun Jiang. Modeling data dissemination in online social networks: a geographical perspective on bounding network traffic load. Proc. of MobiHoc, 2014.
{Zhong15} Yuan Zhong, Nicholas Jing Yuan, Wen Zhong, Fuzheng Zhang, Xing Xie. You Are Where You Go: Inferring Demographic Attributes from Location Check-Ins. Proc. of ACM WSDM, 2015.
{Huang15} Yun Huang, Ying Tang, Yang Wang. Emotion Map: A Location-Based Mobile Social System for Improving Emotion Awareness and Regulation. Proc. of CSCW, 2015.
{Venerandi15} Alessandro Venerandi, Giovanni Quattrone, Licia Capra, Daniele Quercia, and Diego Saez-Trumper. Measuring Urban Deprivation from User Generated Content. Proc. of ACM CSCW, 2015. aims at accurately computing urban deprivation at a fine-grained spatio-temporal granularity, while relying on easily accessible datasets; extracts a metric called Offering Advantage that intuitively reflects which urban elements are distinctive features of each neighborhood
{Huang15} Qun Huang, Patrick P. C. Lee, Caifeng He, Jianfeng Qian, and Cheng He. Fine-Grained Dissection of WeChat in Cellular Networks. Proc. of IEEE/ACM IWQoS, 2015.
{Deveaud15} Romain Deveaud, M-Dyaa Albakour, Craig Macdonald, and Iadh Ounis. Experiments with a Venue-Centric Model for Personalised and Time-Aware Venue Suggestion. Proc. of ACM CIKM, 2015.
{Qiu16} Jiezhong Qiu, Yixuan Li, Jie Tang, Zheng Lu, Hao Ye, Bo Chen, Qiang Yang, and John E. Hopcroft. The Lifecycle and Cascade of WeChat Social Messaging Groups. Proc. of WWW, 2016.
{Pham16} Anh Pham, Kevin Huguenin, Igor Bilogrevic, Italo Dacosta, Jean-Pierre Hubaux. SecureRun: Cheat-Proof and Private Summaries for Location-Based Activities. IEEE Transactions on Mobile Computing, 2016. Garmin Connect traces
{Hristova16} Desislava Hristova, Matthew J. Williams, Mirco Musolesi, Pietro Panzarasa, Cecilia Mascolo. Measuring Urban Social Diversity Using Interconnected Geo-Social Networks. Proc. of WWW, 2016. a network of Foursquare places; coupling the social network of individuals and the network of places
{Althoff17} Tim Althoff, Pranav Jindal, Jure Leskovec. Online Actions with Offline Impact: How Online SocialNetworks Influence Online and Offline User Behavior. Proc. of ACM WSDM, 2017. show how online social networks shape online as well asoffline user behavior, including user engagement, retention,and real-world physical activity
{Garimella18} Kiran Garimella and Gareth Tyson. WhatsApp, Doc? A First Look at WhatsApp Public Group Data. Proc. of AAAI ICWSM, 2018.
{D'Silva18} Krittika D'Silva, Kasthuri Jayarajah, Anastasios Noulas, Cecilia Mascolo, Archan Misra. The Role of Urban Mobility in Retail Business Survival. IMWUT, 2018, 2(3): 100:1-100:22.
{Zhou18} Xiao Zhou, Anastasios Noulas, Cecilia Mascolo, Zhongxiang Zhao. Discovering Latent Patterns of Urban Cultural Interactions in WeChat for Modern City Planning. Proc. of ACM KDD, 2018.
{Chen20} Zhilong Chen, Hancheng Cao, Huangdong Wang, Fengli Xu, Vassilis Kostakos, and Yong Li. Will You Come Back / Check-in Again? Understanding Characteristics Leading to Urban Revisitation and Re-check-in. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020, 4(3): Article 76. We here leverage a 1.5-month-long localization dataset to analyze the roles of different factors in determining whether or not people will revisit the same place, and a 2-year-long large-scale global Foursquare dataset to analyze how different factors can shape whether periodic patterns will show for check-ins.
{Duan23} Chenghua Duan, Wei Fan, Wei Zhou, Hu Liu, and Junhao Wen. CLSPRec: Contrastive Learning of Long and Short-term Preferences for Next POI Recommendation. Proc. of ACM CIKM, 2023. propose a shared trajectory encoder and a novel Contrastive learning of Long and Short-term Preferences for next POI Recommendation (CLSPRec) model to better utilize the preference similarity among the same users and distinguish different users' travel preferences for more accurate next POI prediction
{Yang25} Xingwei Yang, Zhibin Lin, Mehdi Kargar, Elmira Djafarova. The echoes of social media friends’ travels: social influence and venue selection in a hyperconnected world. Humanities and Social Sciences Communications, 2025, 12:1069.