Studying the emerging global brain: Analyzing and visualizing the impact of co-authorship teams

@article{Brner2005StudyingTE,
  title={Studying the emerging global brain: Analyzing and visualizing the impact of co-authorship teams},
  author={Katy B{\"o}rner and Luca Dall’Asta and Weimao Ke and Alessandro Vespignani},
  journal={Complex.},
  year={2005},
  volume={10},
  pages={57-67}
}
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… Expand
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