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Urban Vibes and Rural Charms: Analysis of Geographic Diversity in Mobile Service Usage at National Scale
8 references·3 citing·40 second hop
Urban Vibes and Rural Charms: Analysis of Geographic Diversity in Mobile Service Usage at National Scale (2019)Urban Vibes and Rural Charms: Analysis of…Not All Apps Are Created Equal (2017)Not All Apps Are Created EqualUnderstanding Mobile Traffic Patterns of Large Scale Cellular Towers in Urban Environment (2016)Understanding Mobile Traffic …A Tale of Ten Cities: Characterizing Signatures of Mobile Traffic in Urban Areas (2016)A Tale of Ten Cities: Charact…On the Decomposition of Cell Phone Activity Patterns and their Connection with Urban Ecology (2015)On the Decomposition of Cell …Exploring human mobility with multi-source data at extremely large metropolitan scales (2014)Exploring human mobility with…Contextual experience sampling of mobile application micro-usage (2014)Contextual experience samplin…Profiling users in a 3g network using hourglass co-clustering (2010)Profiling users in a 3g netwo…Measuring serendipity (2009)Measuring serendipityPredicting socio-economic well-being using mobile apps data: a case study of France (2025)Predicting socio-economic wel…Spatial and Temporal Exploratory Factor Analysis of Urban Mobile Data Traffic (2024)Spatial and Temporal Explorat…Characterizing Human Mobility Patterns During COVID-19 using Cellular Network Data (2021)Characterizing Human Mobility…Reality mining: sensing complex social systems (2005)The scaling laws of human travel (2006)Understanding individual human mobility patterns (2008)A survey of results on mobile phone datasets analysis (2015)Big Data Driven Mobile Traffic Understanding and Forecasting: A Time Series Approach (2016)Understanding the impact of personality traits on mobile app adoption – Insights from a large-scale field study (2016)Neighborhoods and Violent Crime: A Multilevel Study of Collective Efficacy (1997)World Urbanization Prospects: The 1996 Revision (1998)Inferring friendship network structure by using mobile phone data (2009)A multi-source dataset of urban life in the city of Milan and the Province of Trentino (2015)Limits of Predictability in Human Mobility (2010)Friendship and mobility (2011)A survey of data fusion in smart city applications (2019)Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges (2021)The Data Model Concept in Statistical Mapping (1967)The cost of interrupted work (2008)Habits make smartphone use more pervasive (2011)"Silence Your Phones" (2016)The Experience Sampling Method on Mobile Devices (2017)The mobile instant messaging interview (MIMI): Using WhatsApp to enhance self-reporting and explore media usage in situ (2019)Private traits and attributes are predictable from digital records of human behavior (2013)Deep Transfer Learning for Intelligent Cellular Traffic Prediction Based on Cross-Domain Big Data (2019)Driving Big Data: A First Look at Driving Behavior via a Large-Scale Private Car Dataset (2019)OpenStreetMap: User-Generated Street Maps (2008)Estimating Origin-Destination Flows Using Mobile Phone Location Data (2011)Discovering regions of different functions in a city using human mobility and POIs (2012)Estimation of Static and Dynamic Urban Populations with Mobile Network Metadata (2018)TRANSIT: Fine-grained human mobility trajectory inference at scale with mobile network signaling data (2021)The Death and Life of Great Italian Cities: A Mobile Phone Data Perspective (2016)Strategies and limitations in app usage and human mobility (2019)Analysis of mobility homophily in Stockholm based on social network data (2021)Assessing the space-use efficiency of French cities by coupling city volumes with mobile data traffic (2025)Social Progress Index (2013)DeepMove (2018)Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set (2020)A Rationale and Test for the Number of Factors in Factor Analysis (1965)The Scree Test For The Number Of Factors (1966)Evaluating the use of exploratory factor analysis in psychological research. (1999)Sustainable Mobility in Barcelona: Trends, Challenges and Policies for Urban Decarbonization (2025)Understanding Mobile Traffic Patterns of Large Scale Cellular Towers in Urban Environment (2015)
this work references cited by second hop

References

  • 2016Understanding Mobile Traffic Patterns of Large Scale Cellular Towers in Urban Environment263 cited
  • 2009Measuring serendipity170 cited
  • 2014Contextual experience sampling of mobile application micro-usage168 cited
  • 2014Exploring human mobility with multi-source data at extremely large metropolitan scales153 cited
  • 2016A Tale of Ten Cities: Characterizing Signatures of Mobile Traffic in Urban Areas100 cited
  • 2010Profiling users in a 3g network using hourglass co-clustering88 cited
  • 2015On the Decomposition of Cell Phone Activity Patterns and their Connection with Urban Ecology69 cited
  • 2017Not All Apps Are Created Equal52 cited

Cited by

  • 2021Characterizing Human Mobility Patterns During COVID-19 using Cellular Network Data4 cited
  • 2024Spatial and Temporal Exploratory Factor Analysis of Urban Mobile Data Traffic4 cited
  • 2025Predicting socio-economic well-being using mobile apps data: a case study of France2 cited

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