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The frequency distribution of scientific productivity
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This article is published in Journal of the Washington Academy of Sciences.The article was published on 1926-01-01 and is currently open access. It has received 2182 citations till now.read more
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Evolution of networks
TL;DR: The recent rapid progress in the statistical physics of evolving networks is reviewed, and how growing networks self-organize into scale-free structures is discussed, and the role of the mechanism of preferential linking is investigated.
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What is research collaboration
J. Sylvan Katz,Ben R. Martin +1 more
TL;DR: In this paper, the authors distinguish between collaboration at different levels and show that inter-institutional and international collaboration need not necessarily involve inter-individual collaboration, and argue for a more symmetrical approach in comparing the costs of collaboration with the undoubted benefits when considering policies towards research collaboration.
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Network dynamics and field evolution : The growth of interorganizational collaboration in the life sciences
TL;DR: In this article, a recursive analysis of network and institutional evolution is offered to account for the decentralized structure of the commercial field of the life sciences, and four alternative logics of attachment are tested to explain the structure and dynamics of interorganizational collaboration in biotechnology using multiple novel methods.
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A general theory of bibliometric and other cumulative advantage processes
TL;DR: It is shown that such a stochastic law is governed by the Beta Function, containing only one free parameter, and this is approximated by a skew or hyperbolic distribution of the type that is widespread in bibliometrics and diverse social science phenomena.
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A Brief History of Generative Models for Power Law and Lognormal Distributions
TL;DR: A rich and long history is found of how lognormal distributions have arisen as a possible alternative to power law distributions across many fields, focusing on underlying generative models that lead to these distributions.