Analyzing the structure of US patents network

被引：15

作者：

Batagelj, Vladimir ^{[1
]}

Kejzar, Natasa ^{[2
]}

Korenjak-Cerne, Simona ^{[3
]}

Zaversnik, Matjaz ^{[1
]}

机构：

[1] Univ Ljubljana, FMF, Dept Math, Jadranska 19, SI-1000 Ljubljana, Slovenia

[2] Univ Ljubljana, Fac Social Sci, SI-1000 Ljubljana, Slovenia

[3] Univ Ljubljana, EF, Fac Econ, SI-1000 Ljubljana, Slovenia

来源：

DATA SCIENCE AND CLASSIFICATION | 2006年

关键词：

D O I：

10.1007/3-540-34416-0_16

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The U.S. patents network is a network of almost 3.8 millions patents (network vertices) from the year 1963 to 1999 (Hall et al. (2001)) and more than 16.5 millions citations (network arcs). It is an example of a very large citation network. We analyzed the U.S. patents network with the tools of network analysis in order to get insight into the structure of the network as an initial step to the study of innovations and technical changes based on patents citation network data. In our approach the SPC (Search Path Count) weights, proposed by Hummon and Doreian (1989), for vertices and arcs axe calculated first. Based on these weights vertex and line islands (Batagelj and Zaversnik (2004)) are determined to identify the main themes of U.S. patents network. All analyses were done with Pajek - a program for analysis and visualization of large networks. As a result of the analysis the obtained main U.S. patents topics are presented.

引用

页码：141 / +

页数：2

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