Betweenness centrality on GPUs and heterogeneous architectures
Proceedings of the 6th Workshop on General Purpose Processor Using Graphics Processing Units
Computer science fields as ground-truth communities: their impact, rise and fall
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Information Sciences: an International Journal
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How is our knowledge organized? What research fields in computer science do exist? How are they interconnected? Previous work on knowledge mapping focused on building the map of all of sciences or a particular domain based on ISI published JCR (Journal Citation Report) dataset. Although this dataset covers most of important journals, it lacks of computer science conference and workshop proceedings. That results in an imprecise and incomplete analysis on the map of computer science knowledge. This paper presents an analysis on the computer science knowledge network with the aims to understand its structure and to answer the above questions. Based on the combination of two important digital libraries for computer science (DBLP and CiteSeerX), the knowledge networks are created at venue (journals, conferences and workshops) level and social network analysis is applied to determine clusters of similar venues, interdisciplinary venues and high prestige venues.