Abstract
Our current societies increasingly rely on electronic repositories of collective knowledge. An archetype of these databases is the Web of Science (WoS) that stores scientific publications. In contrast to several other forms of knowledge—e.g., Wikipedia articles—a scientific paper does not change after its “birth”. Nonetheless, from the moment a paper is published it exists within the evolving web of other papers, thus, its actual meaning to the reader changes. To track how scientific ideas (represented by groups of scientific papers) appear and evolve, we apply a novel combination of algorithms explicitly allowing for papers to change their groups. We (1) identify the overlapping clusters of the undirected yearly co-citation networks of the WoS (1975–2008) and (2) match these yearly clusters (groups) to form group timelines. After visualizing the longest lived groups of the entire data set we assign topic labels to all groups. We find that in the entire WoS multidisciplinarity is clearly over-represented among cutting edge ideas. In addition, we provide detailed examples for papers that (1) change their topic labels and (2) move between groups.
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Notes
KeyWords Plus® are “index terms created by Thomson Reuters from significant, frequently occurring words in the titles of an article’s cited references.”
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Acknowledgments
We thank Tamás Vicsek, Gergely Palla and Bálint Tóth for discussions and advice. This project was supported by the European Union and the European Social Fund through the FuturICT.hu Project (Grant ID: TAMOP-4.2.2.C-11/1/KONV-2012-0013) and the Hungarian National Science Fund (Grant ID: OTKA K105447).
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Orosz, K., Farkas, I.J. & Pollner, P. Quantifying the changing role of past publications. Scientometrics 108, 829–853 (2016). https://doi.org/10.1007/s11192-016-1971-9
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DOI: https://doi.org/10.1007/s11192-016-1971-9