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Extracting Mobile Behavioral Patterns with the Distant N-Gram Topic Model
7 references·4 citing·42 second hop
Extracting Mobile Behavioral Patterns with the Distant N-Gram Topic Model (2012)Extracting Mobile Behavioral Patterns wit…GroupUs: Smartphone Proximity Data and Human Interaction Type Mining (2011)GroupUs: Smartphone Proximity…Discovering routines from large-scale human locations using probabilistic topic models (2011)Discovering routines from lar…Towards rich mobile phone datasets: Lausanne data collection campaign (2010)Towards rich mobile phone dat…Probabilistic Mining of Socio-Geographic Routines From Mobile Phone Data (2010)Probabilistic Mining of Socio…Discovering human places of interest from multimodal mobile phone data (2010)Discovering human places of i…Eigenbehaviors: identifying structure in routine (2009)Eigenbehaviors: identifying s…Eigenbehaviors: identifying structure in routine (2009)Eigenbehaviors: identifying s…Leveraging Routine Behavior and Contextually-Filtered Features for Depression Detection among College Students (2019)Leveraging Routine Behavior a…Spatio-Temporal Routine Mining on Mobile Phone Data (2018)Spatio-Temporal Routine Minin…Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach (2018)Measuring the Popularity of J…Mobile Phones as Ubiquitous Social and Environmental Geo-Sensors (2015)Mobile Phones as Ubiquitous S…Using GPS to learn significant locations and predict movement across multiple users (2003)Learning transportation mode from raw gps data for geographic applications on the web (2008)Understanding mobility based on GPS data (2008)From big smartphone data to worldwide research: The Mobile Data Challenge (2013)Exploring the potential of mobile phone records and online route planners for dynamic accessibility analysis (2018)A Characterization of the COVID-19 Pandemic Impact on a Mobile Network Operator Traffic (2020)Inferring High-Level Behavior from Low-Level Sensors (2003)Understanding individual human mobility patterns (2008)Inferring friendship network structure by using mobile phone data (2009)From taxi GPS traces to social and community dynamics (2013)A Generative Model of Urban Activities from Cellular Data (2017)Discovering themes and trends in transportation research using topic modeling (2017)Reality mining: sensing complex social systems (2005)A probabilistic approach to mining mobile phone data sequences (2013)Joint Modeling of Heterogeneous Sensing Data for Depression Assessment via Multi-task Learning (2018)TeamSense (2018)Uncovering individual and collective human dynamics from mobile phone records (2008)Computational Social Science (2009)Passive social sensing with smartphones: a systematic review (2022)Learning and inferring transportation routines (2007)Bridging the gap between physical location and online social networks (2010)Predictability of population displacement after the 2010 Haiti earthquake (2012)A survey of results on mobile phone datasets analysis (2015)Correction: A correlated topic model of Science (2007)A Joint Learning Approach to Intelligent Job Interview Assessment (2018)Interview Choice Reveals Your Preference on the Market (2019)A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics (2025)Friendship and mobility (2011)Metagraph-Based Life Pattern Clustering With Big Human Mobility Data (2022)Mobility in Unsupervised Word Embeddings for Knowledge Extraction—The Scholars’ Trajectories across Research Topics (2022)Visitors' consistent stay behavior patterns within free-roaming scenic architectural complexes: Considering impacts of temporal, spatial, and environmental factors (2024)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Cognitive Therapy for Depression (2012)Diagnostic and Statistical Manual of Mental Disorders (2013)Detection of Artifacts in Ambulatory Electrodermal Activity Data (2020)Text-based Depression Detection on Social Media Posts: A Systematic Literature Review (2021)GLOBEM (2022)The Massachusetts Institute of Technology (1999)Mining large-scale smartphone data for personality studies (2011)Measuring Large-Scale Social Networks with High Resolution (2014)Who's Who with Big-Five: Analyzing and Classifying Personality Traits with Smartphones (2011)A survey on deep learning for human mobility (2023)
this work references cited by second hop

References

  • 2009Eigenbehaviors: identifying structure in routine504 cited
  • 2009Eigenbehaviors: identifying structure in routine439 cited
  • 2010Towards rich mobile phone datasets: Lausanne data collection campaign278 cited
  • 2011Discovering routines from large-scale human locations using probabilistic topic models244 cited
  • 2010Discovering human places of interest from multimodal mobile phone data121 cited
  • 2010Probabilistic Mining of Socio-Geographic Routines From Mobile Phone Data71 cited
  • 2011GroupUs: Smartphone Proximity Data and Human Interaction Type Mining66 cited

Cited by

  • 2019Leveraging Routine Behavior and Contextually-Filtered Features for Depression Detection among College Students127 cited
  • 2018Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach69 cited
  • 2018Spatio-Temporal Routine Mining on Mobile Phone Data22 cited
  • 2015Mobile Phones as Ubiquitous Social and Environmental Geo-Sensors12 cited

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