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Locative Media and Sociability: Using Location-Based Social Networks to Coordinate Everyday Life

Michael Saker, Jordan Frith
2018 Architecture_MPS  
First, the paper explores if Foursquare is used to organize certain social encounters, and if so, why.  ...  Second, the paper examines the visualization of surrounding social connections and whether this leads to "serendipitous encounters."  ...  Participant anonymity and confidentiality were protected during and after the project using pseudonyms, while the ensuing data was securely stored, to ensure that it was not disclosed to public/unauthorized  ... 
doi:10.14324/111.444.amps.2018v14i1.001 fatcat:ag7ejwr7ifhddbd265kclnroru

Spatiotemporal Analysis to Observe Gender Based Check-In Behavior by Using Social Media Big Data: A Case Study of Guangzhou, China

Rizwan Muhammad, Yaolong Zhao, Fan Liu
2019 Sustainability  
However, LBSN data is primarily considered a supplement to traditional data sources (i.e., survey, census) and can be used to observe human check-in behavior within a city.  ...  The results of this study show that LBSN is a reliable source of data to observe human check-in behavior in space and time within a specified geographic area.  ...  Lastly, the task in the data insight stage is to analyze and investigate the features of LBSN check-in data by considering location, time, and gender and visualize data by using ArcGIS [136] to produce  ... 
doi:10.3390/su11102822 fatcat:2yqhw3wyhnaz5f6n6f5dv6bzkq

Smart Cities Tales and Trails [chapter]

Athena Vakali, Angeliki Milonaki, Ioannis Gkrosdanis
2016 Lecture Notes in Computer Science  
Cities have been transformed to experimental platforms at which data produced capture everyday activities, pulse, and interactions.  ...  The focus is placed on people who navigate in the city and who are enabled to act as tales receptors and trails broadcasters.  ...  This will operate with full anonymization of estimated trajectory, demographic, and emotional personalized data.  ... 
doi:10.1007/978-3-319-45982-0_24 fatcat:ljrl4kozzrdjbogsbx5cpytu2i

Birds of a feather locate together? Foursquare checkins and personality homophily

Nyala Noë, Roger M. Whitaker, Martin J. Chorley, Thomas V. Pollet
2016 Computers in Human Behavior  
A web-based participatory survey was used to collect the personality traits and checkin behaviour of 174 anonymous users, who, through their common check-ins, formed a network with 5373 edges and an approximate  ...  However, the recent popularity of location-based social networks (LBSNs) provides a means to gain new insight into this question through checkins -records that are made by LBSN users of their presence  ...  Due to the use of a third party API, participant data has been analyzed under terms and conditions that do not permit redistribution of the data.  ... 
doi:10.1016/j.chb.2016.01.009 fatcat:lzwu7fw3grexnpb35kp7g2i7h4

A Geoprivacy by Design Guideline for Research Campaigns That Use Participatory Sensing Data

Ourania Kounadi, Bernd Resch
2018 Journal of Empirical Research on Human Research Ethics  
Then, we propose privacy-preserving steps in four categories, namely, ensuring secure and safe settings, actions prior to the start of a research survey, processing and analysis of collected data, and  ...  safe disclosure of datasets and research deliverables.  ...  In this scenario, original data are first anonymized using an anonymization method.  ... 
doi:10.1177/1556264618759877 pmid:29683056 pmcid:PMC6011384 fatcat:3jussx36a5aopmw3un64q24tai

Context-Specific Point-Of-Interest Recommendation Based on Popularity-Weighted Random Sampling and Factorization Machine

Dongjin Yu, Yi Shen, Kaihui Xu, Yihang Xu
2021 ISPRS International Journal of Geo-Information  
of data sparsity.  ...  POIs for a user to visit at a given context (such as time and weather).  ...  Acknowledgments: The authors would like to acknowledge anonymous reviewers who gave the valuable comments to improve the quality of the manuscript.  ... 
doi:10.3390/ijgi10040258 fatcat:c5xbpaxatrapritterjkaionz4

The sound of music

Jan Seeburger, Marcus Foth, Dian Tjondronegoro
2012 Proceedings of the 11th International Conference on Mobile and Ubiquitous Multimedia - MUM '12  
We discuss the findings in relation to how Capital Music influences the process of "cocooning" in public urban places, the practice of designing anonymous interactions between collocated strangers, and  ...  The study provides insight into how sharing non-privacy sensitive but personal data in an anonymous way can influence the user experience of people in public urban places.  ...  We would also like to thank all study participants.  ... 
doi:10.1145/2406367.2406409 dblp:conf/mum/SeeburgerFT12 fatcat:tmyy4ejirjf7nfwfore7ptf7zy

Mining trips from location-based social networks for clustering travelers and destinations

Linus W. Dietz, Avradip Sen, Rinita Roy, Wolfgang Wörndl
2020 Information Technology & Tourism  
It is important to learn the characteristics of travelers and touristic regions when trying to generate recommendations for destinations to users.  ...  In this work, we first present a data-driven method to mine trips from location-based social networks to understand how tourists travel the world.  ...  as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.  ... 
doi:10.1007/s40558-020-00170-6 fatcat:7nkilrxs2rgerp7coau5mh637e

Simulating Offender Mobility: Modeling Activity Nodes from Large-Scale Human Activity Data

Raquel Rosés, Cristina Kadar, Charlotte Gerritsen, Chris Rouly
2020 The Journal of Artificial Intelligence Research  
To instantiate a realistic urban environment, we use open data to simulate the urban structure, location-based social networks data to represent activity nodes as a proxy for human activity, and taxi trip  ...  We analyze and systematically compare 35 different mobility strategies and demonstrate the benefits of using large-scale human activity data to simulate offender mobility.  ...  We would like to thank the anonymous reviewers of the conference version of this paper as well as the current version for their helpful feedback.  ... 
doi:10.1613/jair.1.11831 fatcat:ilo5trbyinbf5ei6z2cgpt2bbu

A Survey on Privacy Issues in Mobile Social Networks

Akshita Maradapu Vera Venkata Sai, Yingshu Li
2020 IEEE Access  
The ease with which people can connect and use these networks to obtain information, share user-centric data, and request services on the go through their mobile devices as long as they have access to  ...  We also review different datasets and data generation tools that can be used by future researchers in this field.  ...  Due to the availability of original location data, the attack models, in these cases are easy to build and are very effective.  ... 
doi:10.1109/access.2020.3009691 fatcat:prx2edw2mbd4dkvgmowag3svla

An Efficient & Secure Content Contribution and Retrieval content in Online Social Networks using Level-level Security Optimization & Content Visualization Algorithm

Kumaran Umapathy, Neelu Khare
2018 Indonesian Journal of Electrical Engineering and Computer Science  
To overcome the issues, Level-level Security Optimization & Content Visualization Algorithm is proposed to avoid the privacy issues during content sharing and data visualization.  ...  Providing the service is not only a matter of using previously defined web content mining and security techniques.  ...  It combines the similar group of data with ℓ-diverse sensitive values and proceeds for anonymization. It also works to minimize the information loss in anonymity data during data movements.  ... 
doi:10.11591/ijeecs.v10.i2.pp807-816 fatcat:3hmxwdxptbgwjdwrrii34ak3me

A Cascade Framework for Privacy-Preserving Point-of-Interest Recommender System

Longyin Cui, Xiwei Wang
2022 Electronics  
Point-of-interest (POI) recommender systems (RSes) have gained significant popularity in recent years due to the prosperity of location-based social networks (LBSN).  ...  We demonstrate a minimized trade-off between the privacy-preserving feature and prediction accuracy by applying a semi-decentralized model to real-world datasets.  ...  inspired us.  ... 
doi:10.3390/electronics11071153 fatcat:23jlb7tcwvfc3eaowj6c23rr2y

Gender matters! Analyzing global cultural gender preferences for venues using social sensing

Willi Mueller, Thiago H Silva, Jussara M Almeida, Antonio AF Loureiro
2017 EPJ Data Science  
To that end, we explore the use of check-in data collected from Foursquare to estimate cultural gender preferences for venues in the physical world.  ...  Traditionally, the data used to support such studies is manually obtained, often through surveys with volunteers.  ...  Science and Technology for the Web (INWEB), Capes, CNPq, FAPEMIG, and Fundação Araucária.  ... 
doi:10.1140/epjds/s13688-017-0101-0 fatcat:zvrjfehucfag7flt2zdxnk7eju

Towards understanding the gamification upon users' scores in a location-based social network

Lei Jin, Ke Zhang, Jianfeng Lu, Yu-Ru Lin
2014 Multimedia tools and applications  
Online social platform, such as Wikipedia and Foursquare, has been increasingly exploded due to not only various useful services provided but also social gaming mechanisms that can keep users actively  ...  For example, users are awarded "virtual goods" like badges and points when they contribute to the community in the network by voluntarily sharing ideas and other information.  ...  She has been using massive social media data and anonymized cellphone records to understand the societal responses with respect to political events and under exogenous shocks such as emergencies.  ... 
doi:10.1007/s11042-014-2317-3 fatcat:fx6jtaeh7feolenjxcokp3ln2i

Exploring Student Check-In Behavior for Improved Point-of-Interest Prediction

Mengyue Hang, Ian Pytlarz, Jennifer Neville
2018 Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining - KDD '18  
We also show how our learned embeddings could be used to identify similar students (e.g., for friend suggestions).  ...  We propose a heterogeneous graph-based method to encode the correlations between users, POIs, and activities, and then jointly learn embeddings for the vertices.  ...  Government is authorized to reproduce and distribute reprints for governmental purposes notwithstanding any copyright notation hereon.  ... 
doi:10.1145/3219819.3219902 dblp:conf/kdd/HangPN18 fatcat:otcygqdcerffhlzagaxgtm23qe
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