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Analysis and Modeling of Mobile Phone Activity Data Using Interactive Cyber-Physical Social System
4 references·0 citing·18 second hop
Analysis and Modeling of Mobile Phone Activity Data Using Interactive Cyber-Physical Social System (2024)Analysis and Modeling of Mobile Phone Act…Big Data Processing, Analysis and Applications in Mobile Cellular Networks (2019)Big Data Processing, Analysis…Socio-cyber network: The potential of cyber-physical system to define human behaviors using big data analytics (2018)Socio-cyber network: The pote…Performing Customer Behavior Analysis using Big Data Analytics (2016)Performing Customer Behavior …A multi-source dataset of urban life in the city of Milan and the Province of Trentino (2015)A multi-source dataset of urb…Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Dynamic population mapping using mobile phone data (2014)The Death and Life of Great Italian Cities: A Mobile Phone Data Perspective (2016)Urban Human Mobility (2019)scikit-mobility : A Python Library for the Analysis, Generation, and Risk Assessment of Mobility Data (2022)The four elementary forms of sociality: Framework for a unified theory of social relations. (1992)The wisdom hierarchy: representations of the DIKW hierarchy (2007)Challenges and opportunities with big data (2012)Trace of pace, place, and space in personal relationships: The chronogeometrics of studying relationships at scale (2019)A survey of results on mobile phone datasets analysis (2015)Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)Fair, Transparent, and Accountable Algorithmic Decision-making Processes (2017)Evidence of urban segregation from mobile phone data: A case study of Novi Sad (2019)Combining Telecom Data with Heterogeneous Data Sources for Traffic and Emission Assessments—An Agent-Based Approach (2022)A survey on customer relationship management (2017)Amalgamation of Customer Relationship Management and Data Analytics in Different Business Sectors—A Systematic Literature Review (2021)Forecasting Buying Intention Through Artificial Neural Network: An Algorithmic Solution on Direct-to-Consumer Brands (2021)
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References

  • 2015A multi-source dataset of urban life in the city of Milan and the Province of Trentino566 cited
  • 2016Performing Customer Behavior Analysis using Big Data Analytics66 cited
  • 2018Socio-cyber network: The potential of cyber-physical system to define human behaviors using big data analytics35 cited
  • 2019Big Data Processing, Analysis and Applications in Mobile Cellular Networks12 cited

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