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Identifying users profiles from mobile calls habits
4 references·12 citing·48 second hop
Identifying users profiles from mobile calls habits (2012)Identifying users profiles from mobile ca…Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones (2010)Using Mobile Positioning Data…Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Real-Time Urban Monitoring Us…Generating Trajectories from Mobile Phone Data (2010)Generating Trajectories from …Mobile Landscapes: Graz in Real Time (2007)Mobile Landscapes: Graz in Re…Population mobility modelling for mobility data simulation (2020)Population mobility modelling…Analysis of tourist classification from cellular network data (2018)Analysis of tourist classific…Extracting regular mobility patterns from sparse CDR data without a priori assumptions (2017)Extracting regular mobility p…Deriving human activity from geo-located data by ontological and statistical reasoning (2017)Deriving human activity from …A new approach for mobile positioning using the CDR data of cellular networks (2017)A new approach for mobile pos…Understanding Human Mobility with Big Data (2016)Understanding Human Mobility …Characterization of Behavioral Patterns Exploiting Description of Geographical Areas (2016)Characterization of Behaviora…Use of Mobile Phone Data to Estimate Visitors Mobility Flows (2015)Use of Mobile Phone Data to E…Transportation Planning Based on GSM Traces: A Case Study on Ivory Coast (2013)Transportation Planning Based…Semantic interpretation of mobile phone records exploiting background knowledge (2013)Semantic interpretation of mo…Semantic enrichment of mobile phone data records (2013)Semantic enrichment of mobile…Analysis of GSM calls data for understanding user mobility behavior (2013)Analysis of GSM calls data fo…Handbook of Transport Modelling (2001)Estimating Origin-Destination Flows Using Mobile Phone Location Data (2011)Modelling Transport (2011)Big Data Research in Italy: A Perspective (2016)Apports et limites des données passives de la téléphonie mobile pour la construction de matrices origine-destination (2017)Modelling cellphone trace travel mode with neural networks using transit smartcard and home interview survey data (2020)Smart mobs: the next social revolution (2003)Smart Mobs: The Next Social Revolution (2003)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Sensing and using social context (2008)Discovering urban and country dynamics from mobile phone data with spatial correlation patterns (2014)Measure of Landmark Semantic Salience through Geosocial Data Streams (2014)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Scripts, plans, goals, and understanding : an inquiry into human knowledge structures. By Roger C. Schank and Robert P. Abelson. Hillsdale, NJ: Lawrence Erlbaum Associates, 1977. Pp. 248. (1978)The New Mobilities Paradigm (2006)Beyond Space (As We Knew It): Toward Temporally Integrated Geographies of Segregation, Health, and Accessibility (2013)Urban Sensing Using Mobile Phone Network Data: A Survey of Research (2014)On data processing required to derive mobility patterns from passively-generated mobile phone data (2017)Uncovering individual and collective human dynamics from mobile phone records (2008)Redrawing the Map of Great Britain from a Network of Human Interactions (2010)Collective Response of Human Populations to Large-Scale Emergencies (2011)Cities as Spatial and Social Networks: Towards a Spatio-Socio-Semantic Analysis Framework (2018)A hybrid of neuro-fuzzy inference system and hidden Markov Model for activity-based mobility modeling of cellphone users (2021)Citizens as sensors: the world of volunteered geography (2007)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Assessing Refugees’ Integration via Spatio-Temporal Similarities of Mobility and Calling Behaviors (2019)A Mobility Model for Synthetic Travel Demand From Sparse Traces (2022)Epidemiological-survey-based multidimensional modeling for understanding daily mobility during the COVID-19 pandemic across urban-rural gradient in the Chinese mainland (2023)Measures of Human Mobility Using Mobile Phone Records Enhanced with GIS Data (2015)The path most traveled: Travel demand estimation using big data resources (2015)Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Spatio-temporal mobility analysis for community detection in the mobile networks using CDR data (2017)Bus passenger counts using Wi-Fi signals: some cautionary findings (2019)A Survey on the Advancement of Travel Time Estimation Using Mobile Phone Network Data (2021)Modelling the scaling properties of human mobility (2010)Dynamic population mapping using mobile phone data (2014)6th SGEM International Multidisciplinary Scientific Conferences on SOCIAL SCIENCES and ARTS Proceedings, Modern Science (2019)Feasibility of estimating travel demand using geolocations of social media data (2021)OMOD: An open-source tool for creating disaggregated mobility demand based on OpenStreetMap (2023)A systematic review of urban vitality studies: Trends and research opportunities (2025)Transportation Systems Engineering: Theory and Methods (2001)Building a validation measure for activity-based transportation models based on mobile phone data (2014)From Cells to Streets (2014)Understanding Spatiotemporal Patterns of Human Convergence and Divergence Using Mobile Phone Location Data (2016)Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)A survey of results on mobile phone datasets analysis (2015)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)
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References

  • 2010Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome623 cited
  • 2010Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones393 cited
  • 2007Mobile Landscapes: Graz in Real Time94 cited
  • 2010Generating Trajectories from Mobile Phone Data60 cited

Cited by

  • 2020Population mobility modelling for mobility data simulation30 cited
  • 2013Analysis of GSM calls data for understanding user mobility behavior25 cited
  • 2017A new approach for mobile positioning using the CDR data of cellular networks22 cited
  • 2017Extracting regular mobility patterns from sparse CDR data without a priori assumptions20 cited
  • 2013Transportation Planning Based on GSM Traces: A Case Study on Ivory Coast18 cited
  • 2013Semantic enrichment of mobile phone data records17 cited
  • 2017Deriving human activity from geo-located data by ontological and statistical reasoning15 cited
  • 2016Understanding Human Mobility with Big Data12 cited
  • 2018Analysis of tourist classification from cellular network data12 cited
  • 2016Characterization of Behavioral Patterns Exploiting Description of Geographical Areas9 cited
  • 2015Use of Mobile Phone Data to Estimate Visitors Mobility Flows

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7 cited
  • 2013Semantic interpretation of mobile phone records exploiting background knowledge5 cited