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Spatio-Temporal Routine Mining on Mobile Phone Data
16 references·3 citing·39 second hop
Spatio-Temporal Routine Mining on Mobile Phone Data (2018)Spatio-Temporal Routine Mining on Mobile …Discovering Urban Functional Zones Using Latent Activity Trajectories (2014)Discovering Urban Functional …A review of urban computing for mobile phone traces (2013)A review of urban computing f…Discovering regions of different functions in a city using human mobility and POIs (2012)Discovering regions of differ…Clustering daily patterns of human activities in the city (2012)Clustering daily patterns of …Friendship and mobility (2011)Friendship and mobilityDiscovering routines from large-scale human locations using probabilistic topic models (2011)Discovering routines from lar…Discovering human places of interest from multimodal mobile phone data (2010)Discovering human places of i…Mining Individual Life Pattern Based on Location History (2009)Mining Individual Life Patter…Inferring friendship network structure by using mobile phone data (2009)Inferring friendship network …Eigenbehaviors: identifying structure in routine (2009)Eigenbehaviors: identifying s…What did you do today? (2008)What did you do today?Understanding individual human mobility patterns (2008)Understanding individual huma…Uncovering individual and collective human dynamics from mobile phone records (2008)Uncovering individual and col…Discovering personally meaningful places (2007)Discovering personally meanin…Reality mining: sensing complex social systems (2005)Reality mining: sensing compl…Applications and explanations of Zipf's law (1998)Applications and explanations…Visitors' consistent stay behavior patterns within free-roaming scenic architectural complexes: Considering impacts of temporal, spatial, and environmental factors (2024)Visitors' consistent stay beh…Exploring lifestyle patterns from GPS trajectory data: embedding spatio-temporal context information via geohash and POI (2024)Exploring lifestyle patterns …Metagraph-Based Life Pattern Clustering With Big Human Mobility Data (2022)Metagraph-Based Life Pattern …Human behavior and the principle of least effort: An introduction to human ecology. By George Kingsley Zipf. Pp. xi, 573. Cambridge, Mass.: Addison-Wesley Press, 1949. (1950)Interaction of information in word recognition. (1969)Are lexical decisions a good measure of lexical access? The role of word frequency in the neglected decision stage. (1984)How many words are there (2002)A text classification framework for simple and effective early depression detection over social media streams (2019)Motivation factors of knowledge collaboration in virtual communities of practice: a perspective from system dynamics (2019)The origin of bursts and heavy tails in human dynamics (2005)The scaling laws of human travel (2006)Limits of Predictability in Human Mobility (2010)A universal model for mobility and migration patterns (2012)Map projections: A working manual (1987)Methodologies for Cross-Domain Data Fusion: An Overview (2015)Regularity and Conformity (2015)The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City (2021)Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach (2021)Motivation and personality (1993)Motivation and Personality (1997)Inferring patterns in the multi-week activity sequences of public transport users (2016)Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns (2017)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Unravelling daily human mobility motifs (2013)Development of origin–destination matrices using mobile phone call data (2014)A survey of results on mobile phone datasets analysis (2015)Birds of a Feather: Homophily in Social Networks (2001)Power-Law Distributions in Empirical Data (2009)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts (2016)DeepMove (2018)Power-law distributions in empirical data (2018)Using GPS to learn significant locations and predict movement across multiple users (2003)Learning and inferring transportation routines (2007)Social signal processing: Survey of an emerging domain (2008)Psychological status of the script concept. (1981)Computational Social Science (2009)Dynamics of Dyads in Social Networks: Assortative, Relational, and Proximity Mechanisms (2010)Human mobility: Models and applications (2018)Extracting urban functional regions from points of interest and human activities on location‐based social networks (2017)Bridging the gap between physical location and online social networks (2010)Predictability of population displacement after the 2010 Haiti earthquake (2012)
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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2011Friendship and mobility2,912 cited
  • 2005Reality mining: sensing complex social systems2,771 cited
  • 2009Inferring friendship network structure by using mobile phone data1,858 cited
  • 2012Discovering regions of different functions in a city using human mobility and POIs1,136 cited
  • 2008Uncovering individual and collective human dynamics from mobile phone records606 cited
  • 2009Eigenbehaviors: identifying structure in routine504 cited
  • 2014Discovering Urban Functional Zones Using Latent Activity Trajectories413 cited
  • 1998Applications and explanations of Zipf's law382 cited
  • 2012Clustering daily patterns of human activities in the city282 cited
  • 2009Mining Individual Life Pattern Based on Location History281 cited
  • 2013A review of urban computing for mobile phone traces254 cited
  • 2011Discovering routines from large-scale human locations using probabilistic topic models244 cited
  • 2007Discovering personally meaningful places207 cited
  • 2010Discovering human places of interest from multimodal mobile phone data121 cited

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2008
What did you do today?
120 cited

Cited by

  • 2022Metagraph-Based Life Pattern Clustering With Big Human Mobility Data18 cited
  • 2024Visitors' consistent stay behavior patterns within free-roaming scenic architectural complexes: Considering impacts of temporal, spatial, and environmental factors13 cited
  • 2024Exploring lifestyle patterns from GPS trajectory data: embedding spatio-temporal context information via geohash and POI5 cited