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Analysis of GSM calls data for understanding user mobility behavior
5 references·5 citing·38 second hop
Analysis of GSM calls data for understanding user mobility behavior (2013)Analysis of GSM calls data for understand…Identifying users profiles from mobile calls habits (2012)Identifying users profiles fr…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…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…Dynamic, Interactive and Visual Analysis of Population Distribution and Mobility Dynamics in an Urban Environment Using the Mobility Explorer Framework (2017)Dynamic, Interactive and Visu…Big Data Research in Italy: A Perspective (2016)Big Data Research in Italy: A…Use of Mobile Phone Data to Estimate Visitors Mobility Flows (2015)Use of Mobile Phone Data to E…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)A multidisciplinary survey on discrimination analysis (2013)Big Data Integration (2013)Returners and explorers dichotomy in human mobility (2015)Data-driven human resource and data-driven talent management in internal and recruitment communication strategies: an empirical survey on Italian firms and insights for European context (2023)Design Science in Information Systems Research1 (2004)A Design Science Research Methodology for Information Systems Research (2007)A Three Cycle View of Design Science Research (2007)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)Digital Footprinting: Uncovering Tourists with User-Generated Content (2008)Development of origin–destination matrices using mobile phone call data (2014)Využitie lokalizačných dát mobilnej siete v turizme: kto sú, kedy prichádzajú a kam smerujú zahraniční návštevníci na Slovensku? (2019)Capturing Unobserved Tourists: Challenges and Opportunities of Processing Mobile Positioning Data in Tourism Research (2022)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)A new approach for mobile positioning using the CDR data of cellular networks (2017)Population mobility modelling for mobility data simulation (2020)
this work references cited by second hop

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
  • 2012Identifying users profiles from mobile calls habits42 cited

Cited by

  • 2016Big Data Research in Italy: A Perspective22 cited
  • 2017Extracting regular mobility patterns from sparse CDR data without a priori assumptions20 cited
  • 2018Analysis of tourist classification from cellular network data12 cited
  • 2015Use of Mobile Phone Data to Estimate Visitors Mobility Flows7 cited
  • 2017Dynamic, Interactive and Visual Analysis of Population Distribution and Mobility Dynamics in an Urban Environment Using the Mobility Explorer Framework5 cited

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