Paper Info
Title
The small world of computer science
Abstract
We show that a careful analysis of co-authorship in publications within a discipline uncovers interesting properties of the analysed field. We build the largest collaboration network for computer science ever studied, as well as those sub-networks that emerge from conference and journal co-authorship only. We study the three graphs with the latest network analysis toolkit. We find that the collaboration network for computer science is a widely connected small world. The node degree distribution is right-skewed and concentrated, but the connectivity of the network does not crucially depend on star collaborators. Furthermore, the network is highly transitive and assortative mixed by node degree, in accordance with most other social networks. The conference collaboration network is more widely and densely connected than the journal counterpart, its degree distribution has a longer tail, and it is less dependent on star collaborators. On the other hand, journal collaboration establishes a stronger relationship among authors and the journal network has a more evident core-periphery structure.
Year
Venue
Keywords
2010
Clinical Orthopaedics and Related Research
degree distribution,social network,network analysis
Field
DocType
Volume
Data science,Network science,Organizational network analysis,Computer science,Evolving networks
Journal
abs/1010.4
Citations 
PageRank 
References 
0
0.34
0
Authors
1
Name
Order
Citations
PageRank
Massimo Franceschet165839.91