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In this paper, we explore the consequences of a distinction between `live' and `dead' network nodes; `live' nodes are able to acquire new links whereas `dead' nodes are static. We develop an analytically soluble growing network model…

物理与社会 · 物理学 2007-05-23 S. Lehmann , A. D. Jackson

The citation network constituted by the SPIRES data base is investigated empirically. The probability that a given paper in the SPIRES data base has $k$ citations is well described by simple power laws, $P(k) \propto k^{-\alpha}$, with…

物理与社会 · 物理学 2009-11-07 S. Lehmann , B. Lautrup , A. D. Jackson

In citation networks, the activity of papers usually decreases with age and dormant papers may be discovered and become fashionable again. To model this phenomenon, a competition mechanism is suggested which incorporates two factors:…

物理与社会 · 物理学 2013-08-27 Xue-Wen Wang , Li-Jie Zhang , Guo-Hong Yang , Xin-Jian Xu

Whether a scientific paper is cited is related not only to the influence of its author(s) but also to the journal publishing it. Scientists, either proficient or tender, usually submit their most important work to prestigious journals which…

物理与社会 · 物理学 2014-05-12 Zheng Yao , Xiao-Long Peng , Li-Jie Zhang , Xin-Jian Xu

Citation distributions are crucial for the analysis and modeling of the activity of scientists. We investigated bibliometric data of papers published in journals of the American Physical Society, searching for the type of function which…

物理与社会 · 物理学 2011-10-11 Young-Ho Eom , Santo Fortunato

Understanding the nature and organization of scientific communities is of broad interest. The `Invisible College' is a historical metaphor for one such type of community and the search for such `colleges' can be framed as the detection and…

数字图书馆 · 计算机科学 2022-02-28 Shreya Chandrasekharan , Mariam Zaka , Stephen Gallo , Tandy Warnow , George Chacko

We introduce a new analytical framework for modelling degree sequences in individual communities of real-world networks, e.g., citations to papers in different fields. Our work is inspired by a recent modification of the Price's model,…

物理与社会 · 物理学 2026-04-29 Łukasz Brzozowski , Marek Gagolewski , Grzegorz Siudem , Barbara Żogała-Siudem

Many of the essential features of the evolution of scientific research are imprinted in the structure of citation networks. Connections in these networks imply information about the transfer of knowledge among papers, or in other words,…

物理与社会 · 物理学 2014-05-23 Enys Mones , Péter Pollner , Tamás Vicsek

The availability of large scale streaming network data has reinforced the ubiquity of power-law distributions in observations and enabled precision measurements of the distribution parameters. The increased accuracy of these measurements…

物理与社会 · 物理学 2021-08-23 Pat Devlin , Jeremy Kepner , Ashley Luo , Erin Meger

As science advances, the academic community has published millions of research papers. Researchers devote time and effort to search relevant manuscripts when writing a paper or simply to keep up with current research. In this paper, we…

信息检索 · 计算机科学 2019-01-01 Haofeng Jia , Erik Saule

This letter introduces a mechanism for constructing, through a process of distributed decision-making, substrates for the study of collective dynamics on extended power-law weighted networks with both a desired scaling exponent and a fixed…

物理与社会 · 物理学 2013-01-18 P. Moriano , J. Finke

We present empirical data on misprints in citations to twelve high-profile papers. The great majority of misprints are identical to misprints in articles that earlier cited the same paper. The distribution of the numbers of misprint…

物理与社会 · 物理学 2011-09-13 M. V. Simkin , V. P. Roychowdhury

The authorship attribution is a problem of considerable practical and technical interest. Several methods have been designed to infer the authorship of disputed documents in multiple contexts. While traditional statistical methods based…

计算与语言 · 计算机科学 2018-03-28 Jeaneth Machicao , Edilson A. Corrêa , Gisele H. B. Miranda , Diego R. Amancio , Odemir M. Bruno

Modeling distributions of citations to scientific papers is crucial for understanding how science develops. However, there is a considerable empirical controversy on which statistical model fits the citation distributions best. This paper…

数字图书馆 · 计算机科学 2014-02-18 Michal Brzezinski

Changes in citation distributions over 100 years can reveal much about the evolution of the scientific communities or disciplines. The prevalence of uncited papers or of highly-cited papers, with respect to the bulk of publications,…

物理与社会 · 物理学 2008-10-09 Matthew L. Wallace , Vincent Larivière , Yves Gingras

We develop a model for the distribution of scientific citations. The model involves a dual mechanism: in the direct mechanism, the author of a new paper finds an old paper A and cites it. In the indirect mechanism, the author of a new paper…

物理与社会 · 物理学 2011-03-08 G. J. Peterson , S. Pressé , K. A. Dill

Complex networks of real-world systems are believed to be controlled by common phenomena, producing structures far from regular or random. These include scale-free degree distributions, small-world structure and assortative mixing by…

社会与信息网络 · 计算机科学 2013-05-24 Lovro Šubelj , Marko Bajec

The distribution of the number of academic publications as a function of citation count for a given year is remarkably similar from year to year. We measure this similarity as a width of the distribution and find it to be approximately…

物理与社会 · 物理学 2015-11-20 S. R. Goldberg , H. Anthony , T. S. Evans

There has been a long history of research into the structure and evolution of mankind's scientific endeavor. However, recent progress in applying the tools of science to understand science itself has been unprecedented because only recently…

统计力学 · 物理学 2009-11-10 Katy Börner , Jeegar T. Maru , Robert L. Goldstone

The study of citations in the scientific literature crosses the boundaries between the traditional branches of science and stands on its own as a most profitable research field dubbed the `science of science'. Although the understanding of…

数字图书馆 · 计算机科学 2021-02-16 Sandro M. Reia , José F. Fontanari
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