Development of Computer Science Disciplines - A Social Network Analysis Approach
Manh Cuong Pham, Ralf Klamma, Matthias Jarke

TL;DR
This paper analyzes the computer science knowledge network using social network analysis of conference and journal publications from DBLP and CiteSeerX, revealing interdisciplinary trends and the importance of experts.
Contribution
It provides a comprehensive analysis of computer science research by combining conference and journal data, highlighting the role of conferences and experts in the field's development.
Findings
Conferences form social structures shaping knowledge.
Computer science is increasingly interdisciplinary.
Experts are crucial for the sustainability of venues.
Abstract
In contrast to many other scientific disciplines, computer science considers conference publications. Conferences have the advantage of providing fast publication of papers and of bringing researchers together to present and discuss the paper with peers. Previous work on knowledge mapping focused on the map of all sciences or a particular domain based on ISI published JCR (Journal Citation Report). Although this data covers most of important journals, it lacks computer science conference and workshop proceedings. That results in an imprecise and incomplete analysis of the computer science knowledge. This paper presents an analysis on the computer science knowledge network constructed from all types of publications, aiming at providing a complete view of computer science research. Based on the combination of two important digital libraries (DBLP and CiteSeerX), we study the knowledge…
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Taxonomy
TopicsOpen Source Software Innovations · Wikis in Education and Collaboration · Online Learning and Analytics
