On the stability of citation networks

被引：6

作者：

Benatti, Alexandre ^{[1
]}

de Arruda, Henrique Ferraz ^{[1
,2
]}

Silva, Filipi Nascimento ^{[3
]}

Comin, Cesar Henrique ^{[4
]}

Costa, Luciano da Fontoura ^{[1
]}

机构：

[1] Univ Sao Paulo, Sao Carlos Inst Phys, POB 369, BR-13560970 Sao Carlos, SP, Brazil

[2] CENTAI Inst, Turin, Italy

[3] Indiana Univ, Network Sci Inst, Bloomington, IN USA

[4] Univ Fed Sao Carlos, Dept Comp Sci, Sao Carlos, Brazil

来源：

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2023年 / 610卷

基金：

巴西圣保罗研究基金会;

关键词：

Citation network; Science of science; Community structure; SCIENCE; PERCOLATION; IMPACT;

D O I：

10.1016/j.physa.2022.128399

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

Citation networks can reveal important information regarding the development of science and the relationship between different areas of knowledge. Frequently, citation networks are created using articles acquired from a set of relevant keywords or queries. Here, we study the robustness of citation networks communities with regards to the keywords that were used for collecting the respective articles. A perturbation approach is proposed, in which the influence of missing keywords on the community structure of citation networks is quantified. In addition, the relationship between keywords and the community structure of citation networks is studied using networks generated from a simple model. We find that, owing to its highly modular structure, the community structure of citation networks tends to be preserved even when many relevant keywords are left out. Furthermore, the proposed model can reflect the impact of missing keywords on different situations. (c) 2022 Elsevier B.V. All rights reserved.

引用

页数：14

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