Leveraging the power of social influence for customer relationship management: identifying and developing influential customers using social network analysis

01 September 2015 → 31 August 2022
Regional and community funding: Special Research Fund
Research disciplines
  • Natural sciences
    • Applied mathematics in specific fields
    • Statistics and numerical methods
  • Social sciences
    • Applied economics
    • Economic history
    • Macroeconomics and monetary economics
    • Microeconomics
    • Tourism
customer relationship management social network analysis churn modeling influence maximization problem
Project description

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.