Abstracts Computer Science

The Role of Social Capital in Drug Use and Dependence in Four Canadian Provinces

by Junyuan Xiong

Academic networks derived from research papers, in particular citation and co- author networks, have been studied widely. Although networks in an individual discipline particularly physics have been studied substantially, the di erence across di erent disciplines remains unclear. This thesis shows that networks generated in computer science di er greatly the networks in Physics. The data used in our exper- iment contain more than two million papers in DBLP and half a million papers in Physical Review journals. We observe that both citation networks can be classi ed as scale-free networks. Papers in DBLP has a shorter life than PR. And physicists collaborate more closely than computer scientists in both citation and co-author net- works. Collaborations evolve over time in both disciplines. For the ranking of papers, we nd that the traditional PageRank algorithm is not appropriate for citation net- works. We investigate the small-world characteristics in both kinds of networks in terms of small average shortest path. Advisors/Committee Members: Lu, Jianguo.