Evolution of interdependent co-authorship and citation networks
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Evolution of interdependent co‑authorship and citation networks Chakresh Kumar Singh1 · Demival Vasques Filho2,3 · Shivakumar Jolad4 · Dion R. J. O’Neale2 Received: 23 January 2020 © Akadémiai Kiadó, Budapest, Hungary 2020
Abstract Studies of bibliographic data suggest a strong correlation between the growth of citation networks and their corresponding co-authorship networks. We explore the interdependence between evolving citation and co-authorship networks focused on the publications, by Indian authors, in American Physical Society journals between 1970 and 2013. We record interactions between each possible pair of authors in two ways: first, by tracing the change in citations, they exchanged and, second, by tracing the shortest path between authors in the co-authorship network. We create these data for every year of the period of our analysis. We use probability methods to quantify the correlation between citations and shortest paths, and the effect on the dynamics of the citation-co-authorship system. We find that author pairs who have a co-authorship distance d ≤ 3 significantly affect each other’s citations, but that this effect falls off rapidly for longer distances in the co-authorship network. The exchange of citation between pairs with d = 1 exhibits a sudden increase at the time of first co-authorship events and decays thereafter, indicating an ageing effect in collaboration. This behaviour suggests that the dynamics of the co-authorship network appear to be driving those of the citation network rather than vice versa. Moreover, the majority of citations received by most authors are due to reciprocal citations from current, or past, coauthors. We conclude that, in order to answer questions on the nature and dynamics of scientific collaboration, it is necessary to study both co-authorship and citation network simultaneously. Keywords Co-authorship networks · Citation networks · Evolution · Network structure
Introduction Development of scientific theories and technology is a result of continuous interaction, creation, and effective diffusion of ideas between researchers in the knowledge ecosystem. Digitization of publications and advancements in communication technology have made it easier for researchers to be aware of the existing knowledge capital and possible gaps in * Chakresh Kumar Singh [email protected] Extended author information available on the last page of the article
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Scientometrics
the field of study. This facilitation of the spread of scientific knowledge helps researchers to refine their research methods and to contextualize their work within the domain. It also establishes an indirect interaction between individuals. One might not know a researcher personally but is still aware of her work through technical literature and can gain a sense of familiarity with it. Researchers attend gatherings and conferences to broaden their scope of a subject area and look for new ideas and open problems. Awareness to the state of the art and motivation to solve open
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