Methods for accrediting publications to authors or countries: consequences for evaluation studies
Journal of the American Society for Information Science
New indicators for gender studies in web networks
Information Processing and Management: an International Journal - Special issue: Infometrics
PageRank for ranking authors in co-citation networks
Journal of the American Society for Information Science and Technology
Patent collaboration and international knowledge flow
Information Processing and Management: an International Journal
Research groups of oncology co-authorship network in China
Scientometrics
An approach to identify influential building blocks and linkages in an information resource network
Decision Support Systems
Egocentric analysis of co-authorship network structure, position and performance
Information Processing and Management: an International Journal
Exploration and visualization of administrator network in wikipedia
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
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Co-authorship among scientists represents a prototype of a social network. By mapping the graph containing all relevant publications of members in an international collaboration network: COLLNET, we infer the structural mechanisms that govern the topology of this social system. The structure of the network affects the information available to individuals, and their opportunities to collaborate. The structure of the network also affects the overall flow of information, and the nature of the scientific community. We present a number of measures of both the macro- (whole-network) and micro- (actor-centered) structure of collaboration, and apply these to COLLNET. We find that this scientific community displays many aspects of a "small-world," and is somewhat vulnerable to disruption should major figures become inactive. We also find inequality in the roles played by individuals in the network. The inequalities, however, do not create a closed and isolated "core" or elite.