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Semantic enrichment of mobile phone data records using linked open data
9 references·0 citing·32 second hop
Semantic enrichment of mobile phone data records using linked open data (2013)Semantic enrichment of mobile phone data …Semantic interpretation of mobile phone records exploiting background knowledge (2013)Semantic interpretation of mo…Identifying users profiles from mobile calls habits (2012)Identifying users profiles fr…Collective Response of Human Populations to Large-Scale Emergencies (2011)Collective Response of Human …The Geography of Taste: Analyzing Cell-Phone Mobility and Social Events (2010)The Geography of Taste: Analy…Redrawing the Map of Great Britain from a Network of Human Interactions (2010)Redrawing the Map of Great Br…Activity-Aware Map: Identifying Human Daily Activity Pattern Using Mobile Phone Data (2010)Activity-Aware Map: Identifyi…Understanding individual human mobility patterns (2008)Understanding individual huma…Uncovering individual and collective human dynamics from mobile phone records (2008)Uncovering individual and col…Reality mining: sensing complex social systems (2005)Reality mining: sensing compl…Limits of Predictability in Human Mobility (2010)Correlating mobile phone usage and travel behavior – A case study of Harbin, China (2011)Intra-urban human mobility patterns: An urban morphology perspective (2011)Understanding aggregate human mobility patterns using passive mobile phone location data: a home-based approach (2015)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)A Tale of One City: Using Cellular Network Data for Urban Planning (2011)From taxi GPS traces to social and community dynamics (2013)The origin of bursts and heavy tails in human dynamics (2005)The scaling laws of human travel (2006)Friendship and mobility (2011)A universal model for mobility and migration patterns (2012)Computational Social Science (2009)Urban Sensing Using Mobile Phone Network Data: A Survey of Research (2014)Social media for intelligent public information and warning in disasters: An interdisciplinary review (2019)Applications of artificial intelligence for disaster management (2020)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)Inferring friendship network structure by using mobile phone data (2009)The Spatial Economy: Cities, Regions, and International Trade (2000)Discovering Urban Functional Zones Using Latent Activity Trajectories (2014)Uncovering Patterns of Inter-Urban Trip and Spatial Interaction from Social Media Check-In Data (2014)Revealing travel patterns and city structure with taxi trip data (2015)Mobile Landscapes: Graz in Real Time (2007)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones (2010)Analysis of GSM calls data for understanding user mobility behavior (2013)A new approach for mobile positioning using the CDR data of cellular networks (2017)Population mobility modelling for mobility data simulation (2020)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)
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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2005Reality mining: sensing complex social systems2,771 cited
  • 2008Uncovering individual and collective human dynamics from mobile phone records606 cited
  • 2010Redrawing the Map of Great Britain from a Network of Human Interactions424 cited
  • 2011Collective Response of Human Populations to Large-Scale Emergencies324 cited
  • 2010Activity-Aware Map: Identifying Human Daily Activity Pattern Using Mobile Phone Data280 cited
  • 2010The Geography of Taste: Analyzing Cell-Phone Mobility and Social Events280 cited
  • 2012Identifying users profiles from mobile calls habits42 cited
  • 2013Semantic interpretation of mobile phone records exploiting background knowledge5 cited

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