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Abstract: Current science and technology has produced more and more publicallyaccessible scientific data. However, little is known about how the open datatrend impacts a scientific community, specifically in terms of itscollaboration behaviors. This paper aims to enhance our understanding of thedynamics of scientific collaboration in the open data eScience environment viaa case study of co-author networks of an active and highly cited open dataproject, called Sloan Digital Sky Survey. We visualized the co-authoringnetworks and measured their properties over time at three levels: author,institution, and country levels. We compared these measurements to a randomnetwork model and also compared results across the three levels. The studyfound that 1 the collaboration networks of the SDSS community transformed fromrandom networks to small-world networks; 2 the number of author-levelcollaboration instances has not changed much over time, while the number ofcollaboration instances at the other two levels has increased over time; 3pairwise institutional collaboration become common in recent years. The opendata trend may have both positive and negative impacts on scientificcollaboration.



Author: Jian Zhang, Chaomei Chen

Source: https://arxiv.org/



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