Projects
Leveraging the power of social influence for customer relationship management: identifying and developing influential customers using social network analysis Ghent University
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.
Refinements of social capital idea. Causes, processes and statistical methodological issues in social network analysis. Ghent University
Bi-graph based social network analysis and learning. University of Antwerp
Examining Technology Leadership via Social Network Analysis Ghent University
This research project examinies technology leadership in primary schools via Social Network Analysis. Datasets from Flanders and the United States of America will be compared to each other to study how technology leadership roles are related to positions in the schools' social network. Network characteristics that will be studied are 'degree', 'closeness', and 'betweenness'.
Multivariate Analysis of School Principals’ Technology Leadership Competencies, Learning School Environment and Schools’ Social Network Structures Ghent University
This PhD research intends to add a genuine dimension to the educational literature by investigating technology leadership challenge in the context of individual variables (e.g. ICT coordinators’ professional self-‐efficacy), social interactions (e.g. communication regarding technology integration issues), organizational features (e.g. technology infrastructure), and school cultural factors (e.g. learning school perception) trough the ...
Leveraging the power of social influence for customer relationship management: growing the value of a customer base using referral network analysis. Ghent University
Phase 1 investigates the difference in added value to the performance of CRM models when using different network variables derived from a communication, a spatial and a referral network. In phase 2 a new approach to identifying influencers in a social network is developed. Phase 3 explores whether valuable potential customers can be identified based on connections with existing customers.
Statistical methods for the estimation of age- and time-dependent epidemiological malaria parameters and the analysis of social network data as a novel approach to design malaria elimination strategies. University of Antwerp
A social network analysis of classical Athens (403-322 BC): a corroboration of the notion of the stateless polis? Ghent University
This project aims to test Berent’s thesis of the Greek polis as a ‘stateless society’. If ‘the’ polis functioned as a stateless society, the absence of a state coercive apparatus would have had to be compensated for by non-state-based forces of integration. This project will examine to what extent social networks in Athens (403-322 BC) functioned as such a force of integration.