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Project
Leveraging the power of social influence for customer relationship management: identifying and developing influential customers using social network analysis
In a first phase, this research aims to develop a new algorithm for identifying influencers. In a second phase, existing predictive churn models will be optimized by incorporating edge weights and directions in the social network. Phase 3 tries to disentangle homophily and social contagion in predictive models to improve interpretability of these effects.
Date:1 Sep 2015 → 31 Aug 2022
Keywords:customer relationship management, social network analysis, churn modeling, influence maximization problem
Disciplines:Economic history, Tourism, Applied mathematics in specific fields, Macroeconomics and monetary economics, Statistics and numerical methods, Applied economics, Microeconomics