On the stability of citation networks

Author(s)

Benatti, Alexandre ; de Arruda, Henrique Ferraz ; Silva, Filipi Nascimento ; Comin, Cesar Henrique ; Costa, Luciano da Fontoura

• Document type: Journal article
• Source: PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS; v. 610, p. 14-pg., 2022-12-23.

Abstract

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. (AU)

• FAPESP's process: 18/10489-0 - Transformations of complex networks and their implication in topology and dynamics of complex systems
• Grantee: Henrique Ferraz de Arruda
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• FAPESP's process: 21/12354-8 - Analysis and refinement of machine learning methods for blood vessel morphometry
• Grantee: Cesar Henrique Comin
• Support Opportunities: Regular Research Grants
• FAPESP's process: 15/22308-2 - Intermediate representations in Computational Science for knowledge discovery
• Grantee: Roberto Marcondes Cesar Junior
• Support Opportunities: Research Projects - Thematic Grants