Studying the emerging global brain: Analyzing and visualizing the impact of co‐authorship teams
ComplexityPublished 1 March 2005
Katy Börner, Luca Dall’Asta, Weimao Ke, Alessandro Vespignani
Citations206
SJR quartileQ1
SJR score0.43
SNIP0.81
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TL;DR
A novel weighted graph representation is presented that encodes coupled author-paper networks as a weighted co-authorship graph that indicates a drift toward a more cooperative, global collaboration process as the main drive in the production of scientific knowledge.
Abstract
Abstract This article introduces a suite of approaches and measures to study the impact of co‐authorship teams based on the number of publications and their citations on a local and global scale. In particular, we present a novel weighted graph representation that encodes coupled author‐paper networks as a weighted co‐authorship graph. This weighted graph representation is applied to a dataset that captures the emergence of a new field of science and comprises 614 articles published by 1036 unique authors between 1974 and 2004. To characterize the properties and evolution of this field, we first use four different measures of centrality to identify the impact of authors. A global statistical analysis is performed to characterize the distribution of paper production and paper citations and its correlation with the co‐authorship team size. The size of co‐authorship clusters over time is examined. Finally, a novel local, author‐centered measure based on entropy is applied to determine the global evolution of the field and the identification of the contribution of a single author's impact across all of its co‐authorship relations. A visualization of the growth of the weighted co‐author network, and the results obtained from the statistical analysis indicate a drift toward a more cooperative, global collaboration process as the main drive in the production of scientific knowledge. © 2005 Wiley Periodicals, Inc. Complexity 10: 57–67, 2005
Keywords
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