Projects
The contextual development of cyber bullying in early adolescence: a longitudinal and social network analysis. KU Leuven
The proposed study addresses three limitations in current research on cyberbullying: 1) the lack of a valid and reliable measurement instrument, 2) the lack of attention to the social context in which the cyberbullying takes place and 3) the lack of longitudinal data. Therefore, the purpose of the pre-study is to develop a multidimensional measurement instrument for cyberbullying. The actual study will use a research method which has been proven ...
The contextual development of cyber bullying in early adolescence: a longitudinal and social network analysis. University of Antwerp
The first goal of this study is to develop a multi-dimensional measurement instrument for cyber-bullying.The second goal of this study is to describe the social dimension of cyber-bullying by means of Social Network Analysis.The third goal of the study is to conduct a longitudinal study that takes the development of adolescents as well as of their social network into account.
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.
Social network learning for marketing and finance. University of Antwerp
Social network data is very valuable for marketing purposes, as social relationships tend to be made between people with similar characteristics, a concept known as homophily. Addressing network neighbors of current customers can therefore be a very efficient marketing strategy. In this project, we will develop and apply advanced social network analysis algorithms for marketing andfinance applications.
Consumers' Responses to Advertising in Social Network Games. University of Antwerp
Digital games are an important medium for advertisers to reach their target audiences. However, the contemporary trend of playing games in social network sites (e.g. Facebook games) has been underresearched in the in-game advertising literature. The first research objective is to study which different types and formats of in-game advertisements exist in social network games by means of a content analysis of in-game ads in social network games. ...
Scientific research network U+201CGlobalisation, Regionalisation and Economic and Social Inequality Ghent University
Encouraging research co-operation between the participating research centers on the following issues:
- the quantitative analysis of globalization and regionalization processes;
- globalization, labour markets and income inequality;
- (African) migration in Europe;
- inequality at the global governance leven
Innovative credit scoring modeling using textual and social network data. University of Antwerp
It is the purpose of this research project to come up with new, original and groundbreaking approaches for credit risk modeling through innovations in input data to model different aspects of credit risk. This research project will focus on the potential of social network and textual input data, and consists of four research objectives.
Innovative credit scoring modeling using textual and social network data. University of Antwerp
It is the purpose of this research project to come up with new, original and groundbreaking approaches for credit risk modeling through innovations in input data to model different aspects of credit risk. For financial institutions, it is important to know which input data has the best prediction performance, how these data should be handled and which intrinsic characteristics should be taken into account to obtain the most accurate credit risk ...
Networks of volunteers and paid staff: A mixed method analysis on network positions, structure and effectiveness. University of Antwerp
Public and nonprofit organizations are increasingly relying on social networks of volunteers and paid staff for social service delivery. Against this background, we rely on social network analysis to advance theoretical and practical knowledge on (1) the structure of networks and positions in networks of volunteers and paid staff in public and nonprofit organizations, and (2) how volunteers and paid staff use their social networks to reach ...