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.