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A social model based on customers’ profiles for analyzing the churning process in the mobile market of data plans
13 references·2 citing·56 second hopsampled
A social model based on customers’ profiles for analyzing the churning process in the mobile market of data plans (2018)A social model based on customers’ profil…Prediction of Subscriber Churn Using Social Network Analysis (2013)Prediction of Subscriber Chur…Customer Churn Prediction in Telecommunication A Decade Review and Classification (2013)Customer Churn Prediction in …An attitude-based latent class segmentation analysis of mobile phone users (2013)An attitude-based latent clas…A Survey on Churn Prediction Techniques in Communication Sector (2013)A Survey on Churn Prediction …Collective Churn Prediction in Social Network (2012)Collective Churn Prediction i…Modeling Purchasing Behavior with Sudden “Death”: A Flexible Customer Lifetime Model (2011)Modeling Purchasing Behavior …AN EMPIRICAL STUDY OF CELL PHONE AND SMARTPHONE USAGE (2011)AN EMPIRICAL STUDY OF CELL PH…Predicting customer churn in mobile networks through analysis of social groups (2010)Predicting customer churn in …Churn in Social Networks (2010)Churn in Social NetworksSocial ties and their relevance to churn in mobile telecom networks (2008)Social ties and their relevan…Age differences in mobile service perceptions: comparison of Generation Y and baby boomers (2008)Age differences in mobile ser…A Survey of Models of Network Formation: Stability and Efficiency (2003)A Survey of Models of Network…Birds of a Feather: Homophily in Social Networks (2001)Birds of a Feather: Homophily…Implementation of penalized survival models in churn prediction of vehicle insurance (2022)Implementation of penalized s…Data portability effects on data-driven innovation of online platforms: Analyzing Spotify (2020)Data portability effects on d…XXIV. On the nature of the function expressive of the law of human mortality, and on a new mode of determining the value of life contingencies. In a letter to Francis Baily, Esq. F. R. S. &c (1825)On the Profitability of Long-Life Customers in a Noncontractual Setting: An Empirical Investigation and Implications for Marketing (2000)The Impact of Customer Relationship Characteristics on Profitable Lifetime Duration (2003)Marketing Models for the Customer-Centric Firm (2017)Leveraging purchase regularity for predicting customer behavior the easy way (2020)Understanding consumer behavior during and after a Pandemic: Implications for customer lifetime value prediction models (2024)A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions (1980)Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence (1988)User Acceptance of Computer Technology: A Comparison of Two Theoretical Models (1989)Value fusion (2013)M-S-QUAL: Mobile service quality measurement (2015)Online shopping intention in the context of data breach in online retail stores: An examination of older and younger adults (2016)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)User Acceptance of Information Technology: Toward A Unified View1 (2003)Predicting behavioral intention of mobile Internet usage (2015)The Ten Shades of Silver: Segmentation of Older Adults in the Mobile Phone Market (2017)Diffusion of Innovations 1 (2019)Customer Segmentation via Data Mining Techniques: State-of-the-Art Review (2022)Human behavior and the principle of least effort (1949)Informal social communication. (1950)Structural Holes (1992)The Network Paradigm in Organizational Research: A Review and Typology (2003)E Pluribus Unum : Diversity and Community in the Twenty‐first Century The 2006 Johan Skytte Prize Lecture (2007)Friendship and mobility (2011)Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry (2000)Social ties and their relevance to churn in mobile telecom networks (2008)Identifying Important Places in People’s Lives from Cellular Network Data (2011)Data-driven agent-based exploration of customer behavior (2017)Time series for early churn detection: Using similarity based classification for dynamic networks (2018)The Strength of Weak Ties (1973)Getting a Job: A Study of Contacts and Careers. (1975)Game theory: analysis of conflict (1992)Social Capital (2005)The old boy (and girl) network: Social network formation on university campuses (2007)Games on Networks (2014)Churn Prediction in MMORPGs: A Social Influence Based Approach (2009)New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)Combining Customer Attribute and Social Network Mining for Prepaid Mobile Churn Prediction (2013)Short Text Representation for Detecting Churn in Microblogs (2016)Twitter opinion mining predicts broadband internet's customer churn rate (2017)Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (2004)The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services (2004)Decision Support and Business Intelligence Systems (2006)Review of Data Mining Techniques for Churn Prediction in Telecom (2015)Combining Sequential and Aggregated Data for Churn Prediction in Casual Freemium Games (2019)Prediction of customer churn using resampling and ensemble classification algorithms on telecom dataset (2023)Structural Holes: The Social Structure of Competition (1992)Mining the network value of customers (2001)The Eigentrust algorithm for reputation management in P2P networks (2003)Profit Optimizing Churn Prediction for Long-Term Loyal Customers in Online Games (2018)Social Network Analysis and Churn Prediction in Telecommunications Using Graph Theory (2020)Computer assisted customer churn management: State-of-the-art and future trends (2005)Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)Social network analysis for customer churn prediction (2013)Analyzing Uber's Ride-sharing Economy (2017)Social network analytics for churn prediction in telco: Model building, evaluation and network architecture (2017)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 2001Birds of a Feather: Homophily in Social Networks18,551 cited
  • 2003A Survey of Models of Network Formation: Stability and Efficiency400 cited
  • 2008Age differences in mobile service perceptions: comparison of Generation Y and baby boomers316 cited
  • 2010Predicting customer churn in mobile networks through analysis of social groups168 cited
  • 2008Social ties and their relevance to churn in mobile telecom networks105 cited
  • 2011Modeling Purchasing Behavior with Sudden “Death”: A Flexible Customer Lifetime Model82 cited
  • 2013Prediction of Subscriber Churn Using Social Network Analysis61 cited
  • 2012Collective Churn Prediction in Social Network41 cited
  • 2013Customer Churn Prediction in Telecommunication A Decade Review and Classification40 cited
  • 2013An attitude-based latent class segmentation analysis of mobile phone users35 cited
  • 2010Churn in Social Networks35 cited
  • 2013A Survey on Churn Prediction Techniques in Communication Sector33 cited
  • 2011AN EMPIRICAL STUDY OF CELL PHONE AND SMARTPHONE USAGE17 cited

Cited by

  • 2020Data portability effects on data-driven innovation of online platforms: Analyzing Spotify31 cited
  • 2022

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Implementation of penalized survival models in churn prediction of vehicle insurance
9 cited