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Analyzing the workload dynamics of a mobile phone network in large scale events
7 references·9 citing·36 second hop
Analyzing the workload dynamics of a mobile phone network in large scale events (2012)Analyzing the workload dynamics of a mobi…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…Limits of Predictability in Human Mobility (2010)Limits of Predictability in H…Understanding individual human mobility patterns (2009)Understanding individual huma…Inferring friendship network structure by using mobile phone data (2009)Inferring friendship network …Understanding individual human mobility patterns (2008)Understanding individual huma…Uncovering individual and collective human dynamics from mobile phone records (2008)Uncovering individual and col…Assessing veracity of big data: An in-depth evaluation process from the comparison of Mobile phone traces and groundtruth data in traffic monitoring (2024)Assessing veracity of big dat…Application of cell phone data to monitor attendance during motor racing major event. The case of Formula One Gran Prix in Imola (2024)Application of cell phone dat…Awakening City: Traces of the Circadian Rhythm within the Mobile Phone Network Data (2022)Awakening City: Traces of the…Analyzing the Behavior and Financial Status of Soccer Fans from a Mobile Phone Network Perspective: Euro 2016, a Case Study (2021)Analyzing the Behavior and Fi…Understanding Human Mobility and Workload Dynamics Due to Different Large-Scale Events Using Mobile Phone Data (2018)Understanding Human Mobility …Discovering Mobile Application Usage Patterns from a Large-Scale Dataset (2018)Discovering Mobile Applicatio…Diversity in Smartphone Usage (2016)Diversity in Smartphone UsageMobDatU: A New Model for Human Mobility Prediction Based on Heterogeneous Data (2015)MobDatU: A New Model for Huma…A survey of results on mobile phone datasets analysis (2015)A survey of results on mobile…Reality mining: sensing complex social systems (2005)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Activity-Aware Map: Identifying Human Daily Activity Pattern Using Mobile Phone Data (2010)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)Psychological status of the script concept. (1981)Dynamics of Dyads in Social Networks: Assortative, Relational, and Proximity Mechanisms (2010)Human mobility: Models and applications (2018)Power-Law Distributions in Empirical Data (2009)Power-law distributions in empirical data (2018)Comparative Analysis of Travel Patterns from Cellular Network Data and an Urban Travel Demand Model (2020)Understanding collective human movement dynamics during large-scale events using big geosocial data analytics (2021)Mining large-scale smartphone data for personality studies (2011)The Mobile Data Challenge: Big Data for Mobile Computing Research (2012)Development of origin–destination matrices using mobile phone call data (2014)Complement or substitute? Investigating the interdependence effects among mobile social apps (2020)Business Intelligence and Analytics: From Big Data to Big Impact (2012)CRITICAL QUESTIONS FOR BIG DATA (2012)Beyond the hype: Big data concepts, methods, and analytics (2014)A big data analysis of the gender gap in mobility at the regional scale: Insights from northern Italy (2025)Assessing mobile phone data as proxy census commuting data for transport geography research: a critical review and case study (2025)Evaluation of accessibility disparities in urban areas during disruptive events based on transit real data (2025)Modelling the scaling properties of human mobility (2010)Unravelling daily human mobility motifs (2013)A survey of results on mobile phone datasets analysis (2015)Structure of Urban Movements: Polycentric Activity and Entangled Hierarchical Flows (2011)From mobile phone data to the spatial structure of cities (2014)Uncovering Patterns of Inter-Urban Trip and Spatial Interaction from Social Media Check-In Data (2014)
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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2010Limits of Predictability in Human Mobility3,230 cited
  • 2009Inferring friendship network structure by using mobile phone data1,858 cited
  • 2008Uncovering individual and collective human dynamics from mobile phone records606 cited
  • 2009Understanding individual human mobility patterns484 cited
  • 2011Collective Response of Human Populations to Large-Scale Emergencies324 cited
  • 2010The Geography of Taste: Analyzing Cell-Phone Mobility and Social Events280 cited

Cited by

  • 2018Understanding Human Mobility and Workload Dynamics Due to Different Large-Scale Events Using Mobile Phone Data26 cited
  • 2018Discovering Mobile Application Usage Patterns from a Large-Scale Dataset24 cited
  • 2024Assessing veracity of big data: An in-depth evaluation process from the comparison of Mobile phone traces and groundtruth data in traffic monitoring20 cited
  • 2016Diversity in Smartphone Usage16 cited
  • 2021Analyzing the Behavior and Financial Status of Soccer Fans from a Mobile Phone Network Perspective: Euro 2016, a Case Study10 cited
  • 2024Application of cell phone data to monitor attendance during motor racing major event. The case of Formula One Gran Prix in Imola7 cited
  • 2015A survey of results on mobile phone datasets analysis

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7 cited
  • 2022Awakening City: Traces of the Circadian Rhythm within the Mobile Phone Network Data6 cited
  • 2015MobDatU: A New Model for Human Mobility Prediction Based on Heterogeneous Data5 cited