Semantic networks based on titles of scientific papers

被引：31

作者：

Pereira, H. B. B. ^{[1
,2
]}

Fadigas, I. S. ^{[2
]}

Senna, V. ^{[1
]}

Moret, M. A. ^{[1
,3
]}

机构：

[1] SENAI Cimatec, Programa Modelagem Computac, BR-41650010 Salvador, BA, Brazil

[2] Univ Estadual Feira de Santana, Dept Ciencias Exatas, BR-44031460 Feira De Santana, BA, Brazil

[3] Univ Estadual Feira de Santana, Dept Fis, BR-44031460 Feira De Santana, BA, Brazil

来源：

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2011年 / 390卷 / 06期

关键词：

Semantic networks; Complex networks; Social network analysis; COMPLEX NETWORKS;

D O I：

10.1016/j.physa.2010.12.001

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

In this paper we study the topological structure of semantic networks based on titles of papers published in scientific journals. It discusses its properties and presents some reflections on how the use of social and complex network models can contribute to the diffusion of knowledge. The proposed method presented here is applied to scientific journals where the titles of papers are in English or in Portuguese. We show that the topology of studied semantic networks are small-world and scale-free. (C) 2010 Elsevier B.V. All rights reserved.

引用

页码：1192 / 1197

页数：6

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