The second utility of such a dataset is to predict citation counts of academic papers. While it is common knowledge that the number of co-authors or the number of commenters on a paper correlate with citation counts, the novelty of our approach is to include their network centralities in two different networks. The one network is the co-author network and the other the network of informal collaboration. We found that the latter network outperforms the co-author network.
Michael Rose is a Post-Doc researcher at the Max Planck Institute for Innovation and Competition.
 Co-Pierre Georg and Michael Rose, What 5,000 Acknowledgements Tell Us About Informal Collaboration in Financial Economics.