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We analyze the time evolution of citations acquired by articles from journals of the American Physical Society (PRA, PRB, PRC, PRD, PRE and PRL). The observed change over time in the number of papers published in each journal is considered…

数字图书馆 · 计算机科学 2017-11-06 K. W. Higham , M. Governale , A. B. Jaffe , U. Zülicke

We have constructed a fitness parameter, characterizing the intrinsic attractiveness for patents to be cited, from attributes of the associated inventions known at the time a patent is granted. This exogenously obtained fitness is shown to…

物理与社会 · 物理学 2019-06-26 K. W. Higham , M. Governale , A. B. Jaffe , U. Zülicke

The development of inventions is theorized as a process of searching and recombining existing knowledge components. Previous studies under this theory have examined myriad characteristics of recombined knowledge and their performance…

数字图书馆 · 计算机科学 2024-11-15 Qing Ke , Ziyou Teng , Chao Min

One of the most challenging problems in technological forecasting is to identify as early as possible those technologies that have the potential to lead to radical changes in our society. In this paper, we use the US patent citation network…

社会与信息网络 · 计算机科学 2018-06-04 Manuel Sebastian Mariani , Matus Medo , François Lafond

A central question in science of science concerns how time affects citations. Despite the long-standing interests and its broad impact, we lack systematic answers to this simple yet fundamental question. By reviewing and classifying prior…

物理与社会 · 物理学 2018-12-13 Yian Yin , Dashun Wang

This paper reports results of a network theory approach to the study of the United States patent system. We model the patent citation network as a discrete time, discrete space stochastic dynamic system. From data on more than 2 million…

物理与社会 · 物理学 2007-05-23 Gabor Csardi , Katherine J Strandburg , Laszlo Zalanyi , Jan Tobochnik , Peter Erdi

We study the statistics of citations from all Physical Review journals for the 110-year period 1893 until 2003. In addition to characterizing the citation distribution and identifying publications with the highest citation impact, we…

物理与社会 · 物理学 2007-05-23 S. Redner

In this paper, we proposed an evolving model via the hypergraph to illustrate the evolution of the citation network. In the evolving model, we consider the mechanism combined with preferential attachment and the aging influence. Simulation…

物理与社会 · 物理学 2014-06-05 Feng Hu , Hai-Xing Zhao , Xiu-Xiu Zhan , Chuang Liu , Zi-Ke Zhang

The study of citation networks is of interest to the scientific community. However, the underlying mechanism driving individual citation behavior remains imperfectly understood, despite the recent proliferation of quantitative research…

物理与社会 · 物理学 2021-11-03 Feng Hu , Lin Ma , Xiu-Xiu Zhan , Yinzuo Zhou , Chuang Liu , Haixing Zhao , Zi-Ke Zhang

The web of relations linking technological innovation can be fairly described in terms of patent citations. The resulting patent citation network provides a picture of the large-scale organization of innovations and its time evolution. Here…

物理与社会 · 物理学 2009-11-13 Sergi Valverde , Ricard V. Solé , Mark A. Bedau , Norman H. Packard

We show that to explain the growth of the citation network by preferential attachment (PA), one has to accept that individual nodes exhibit heterogeneous fitness values that decay with time. While previous PA-based models assumed either…

物理与社会 · 物理学 2011-12-05 Matus Medo , Giulio Cimini , Stanislao Gualdi

Modeling and forecasting forward citations to a patent is a central task for the discovery of emerging technologies and for measuring the pulse of inventive progress. Conventional methods for forecasting these forward citations cast the…

数字图书馆 · 计算机科学 2019-05-30 Taoran Ji , Zhiqian Chen , Nathan Self , Kaiqun Fu , Chang-Tien Lu , Naren Ramakrishnan

By adopting a citation-based recursive ranking method for patents the evolution of new fields of technology can be traced. Specifically, it is demonstrated that the laser / inkjet printer technology emerged from the recombination of two…

数字图书馆 · 计算机科学 2016-02-26 Péter Bruck , István Réthy , Judit Szente , Jan Tobochnik , Péter Érdi

The past few centuries have witnessed a dramatic growth in scientific and technological knowledge. However, the nature of that growth - whether exponential or otherwise - remains controversial, perhaps partly due to the lack of quantitative…

For decades the number of scientific publications has been rapidly increasing, effectively out-dating knowledge at a tremendous rate. Only few scientific milestones remain relevant and continuously attract citations. Here we quantify how…

A common consensus in the literature is that the citation profile of published articles in general follows a universal pattern - an initial growth in the number of citations within the first two to three years after publication followed by…

数字图书馆 · 计算机科学 2015-03-29 Tanmoy Chakraborty , Suhansanu Kumar , Pawan Goyal , Niloy Ganguly , Animesh Mukherjee

Continuous-time branching processes describe the evolution of a population whose individuals generate a random number of children according to a birth process. Such branching processes can be used to understand preferential attachment…

Citation networks emerge from a number of different social systems, such as academia (from published papers), business (through patents) and law (through legal judgements). A citation represents a transfer of information, and so studying…

数字图书馆 · 计算机科学 2015-07-07 James R. Clough , Tim S. Evans

In many growing networks, the age of the nodes plays an important role in deciding the attachment probability of the incoming nodes. For example, in a citation network, very old papers are seldom cited while recent papers are usually cited…

其他凝聚态物理 · 物理学 2007-05-23 Kamalika Basu Hajra , Parongama sen

Understanding the topical evolution in industrial innovation is a challenging problem. With the advancement in the digital repositories in the form of patent documents, it is becoming increasingly more feasible to understand the innovation…

数字图书馆 · 计算机科学 2020-07-28 Jagriti Jalal , Mayank Singh , Arindam Pal , Lipika Dey , Animesh Mukherjee
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