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Discovering Individual Life Style From Anonymized WiFi Scan Lists on Smartphones
16 references·0 citing·46 second hop
Discovering Individual Life Style From Anonymized WiFi Scan Lists on Smartphones (2019)Discovering Individual Life Style From An…Recognition of Group Mobility Level and Group Structure with Mobile Devices (2017)Recognition of Group Mobility…Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Activity-Based Human Mobility…Inferring individual daily activities from mobile phone traces: A Boston example (2015)Inferring individual daily ac…The City Browser: Utilizing Massive Call Data to Infer City Mobility Dynamics (2014)The City Browser: Utilizing M…Device Analyzer: Understanding Smartphone Usage (2014)Device Analyzer: Understandin…The Places of Our Lives: Visiting Patterns and Automatic Labeling from Longitudinal Smartphone Data (2013)The Places of Our Lives: Visi…Discovering places of interest in everyday life from smartphone data (2012)Discovering places of interes…Social Event Detection in Massive Mobile Phone Data Using Probabilistic Location Inference (2011)Social Event Detection in Mas…Jyotish: A novel framework for constructing predictive model of people movement from joint Wifi/Bluetooth trace (2011)Jyotish: A novel framework fo…Estimating Origin-Destination Flows Using Mobile Phone Location Data (2011)Estimating Origin-Destination…Towards rich mobile phone datasets: Lausanne data collection campaign (2010)Towards rich mobile phone dat…The Geography of Taste: Analyzing Cell-Phone Mobility and Social Events (2010)The Geography of Taste: Analy…Mobility profiler: A framework for discovering mobility profiles of cell phone users (2010)Mobility profiler: A framewor…Mining Individual Life Pattern Based on Location History (2009)Mining Individual Life Patter…What did you do today? (2008)What did you do today?Understanding individual human mobility patterns (2008)Understanding individual huma…Reality mining: sensing complex social systems (2005)Mining smartphone data for app usage prediction and recommendations: A survey (2017)Ageism in the era of digital platforms (2020)A Comparative Analysis of Multi-Criteria Decision-Making Methods for Resource Selection in Mobile Crowd Computing (2021)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Activity-Aware Map: Identifying Human Daily Activity Pattern Using Mobile Phone Data (2010)A Tale of One City: Using Cellular Network Data for Urban Planning (2011)From taxi GPS traces to social and community dynamics (2013)Using GPS to learn significant locations and predict movement across multiple users (2003)Understanding mobility based on GPS data (2008)Lab And/Or Field? Measuring Personality Processes and Their Social Consequences (2015)Using Mobile Phone Sensor Technology for Mental Health Research: Integrated Analysis to Identify Hidden Challenges and Potential Solutions (2018)Towards a comprehensive set of GPS-based indicators reflecting the multidimensional nature of daily mobility for applications in health and aging research (2019)The origin of bursts and heavy tails in human dynamics (2005)The scaling laws of human travel (2006)Friendship and mobility (2011)A universal model for mobility and migration patterns (2012)A Theoretical Foundation for the Gravity Equation. (1979)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)A new insight into land use classification based on aggregated mobile phone data (2014)Development of origin–destination matrices using mobile phone call data (2014)Inferring High-Level Behavior from Low-Level Sensors (2003)Predestination: Inferring Destinations from Partial Trajectories (2006)Learning and inferring transportation routines (2007)What's Your Next Move: User Activity Prediction in Location-based Social Networks (2013)Analysis of human mobility patterns from GPS trajectories and contextual information (2015)Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data (2017)Eigenbehaviors: identifying structure in routine (2009)By their apps you shall understand them (2010)Probabilistic Mining of Socio-Geographic Routines From Mobile Phone Data (2010)Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)Limits of Predictability in Human Mobility (2010)Big data and understanding change in the context of planning transport systems (2018)A New Urban Vitality Analysis and Evaluation Framework Based on Human Activity Modeling Using Multi-Source Big Data (2020)Inferring the trip purposes and uncovering spatio-temporal activity patterns from dockless shared bike dataset in Shenzhen, China (2021)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Travel and the Built Environment (2010)On data processing required to derive mobility patterns from passively-generated mobile phone data (2017)Human mobility and socioeconomic status: Analysis of Singapore and Boston (2018)Measuring inequality in community resilience to natural disasters using large-scale mobility data (2021)Computational Social Science (2009)Inferring friendship network structure by using mobile phone data (2009)Discovering routines from large-scale human locations using probabilistic topic models (2011)Who's Who with Big-Five: Analyzing and Classifying Personality Traits with Smartphones (2011)A survey on deep learning for human mobility (2023)
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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2011Estimating Origin-Destination Flows Using Mobile Phone Location Data511 cited
  • 2016Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore472 cited
  • 2009Mining Individual Life Pattern Based on Location History281 cited
  • 2010The Geography of Taste: Analyzing Cell-Phone Mobility and Social Events280 cited
  • 2010Towards rich mobile phone datasets: Lausanne data collection campaign278 cited
  • 2014Device Analyzer: Understanding Smartphone Usage146 cited
  • 2012Discovering places of interest in everyday life from smartphone data137 cited
  • 2008What did you do today?120 cited
  • 2015Inferring individual daily activities from mobile phone traces: A Boston example109 cited
  • 2013The Places of Our Lives: Visiting Patterns and Automatic Labeling from Longitudinal Smartphone Data104 cited
  • 2010Mobility profiler: A framework for discovering mobility profiles of cell phone users101 cited
  • 2011Social Event Detection in Massive Mobile Phone Data Using Probabilistic Location Inference88 cited
  • 2011Jyotish: A novel framework for constructing predictive model of people movement from joint Wifi/Bluetooth trace71 cited

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2017
Recognition of Group Mobility Level and Group Structure with Mobile Devices
43 cited
  • 2014The City Browser: Utilizing Massive Call Data to Infer City Mobility Dynamics17 cited
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