Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30836
Analyzing Keyword Networks for the Identification of Correlated Research Topics

Authors: Thiago M. R. Dias, Gray F. Moita, Patrícia M. Dias


The production and publication of scientific works have increased significantly in the last years, being the Internet the main factor of access and distribution of these works. Faced with this, there is a growing interest in understanding how scientific research has evolved, in order to explore this knowledge to encourage research groups to become more productive. Therefore, the objective of this work is to explore repositories containing data from scientific publications and to characterize keyword networks of these publications, in order to identify the most relevant keywords, and to highlight those that have the greatest impact on the network. To do this, each article in the study repository has its keywords extracted and in this way the network is  characterized, after which several metrics for social network analysis are applied for the identification of the highlighted keywords.

Keywords: Bibliometrics, Scientometrics, extraction and data integration

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 329


[1] Ding, Y. Scientific collaboration and endorsement: Network analysis of coauthorship and citation networks. J. Informetrics, v. 5, n. 1, p. 187-203, 2011. In: < >.
[2] Alves, A. D.; Yanasse, H. H.; Soma, N. Y. Perfil dos bolsistas pq das áreas de engenharia de produçao e de transportes do cnpq: enfoque na subárea de pesquisa operacional. XLIII Simpósio Brasileiro de Pesquisa Operacional, 2011a, Ubatuba, SP, Brasil.
[3] Brandão, M. A.; Moro, M. M. Recomendação de Colaboração em Redes Sociais Acadêmicas Baseada na Afiliação dos Pesquisadores. SBBD - Simpósio Brasileiro de Bancos de Dados, 2012, São Paulo, Brasil.
[4] Lopes, G. R. et al. Ranking Strategy for Graduate Programs Evaluation. ICITA 2011 Journal of Information Technology and Applications, 2011, Sydney, Australia.
[5] Júnior, P. S. P.; Laender, A. H. F.; Moro, M. M. Analysis of Network Co-authoring the Brazilian Symposium on Databases. SBBD - Simpósio Brasileiro de Banco de Dados, 2011, Florianópolis, Brasil.
[6] Cañibano, C.; Bozeman, B. Curriculum vitae method in science policy and research evaluation: the state-of-the-art. Research Evaluation, v. 18, n. 2, p. 86-94, 2009. ISSN 0958-2029.
[7] Petersen, A. M. et al. Persistence and uncertainty in the academic career. Proceedings of the National Academy of Sciences, v. 109, n. 14, p. 5213-5218, 2012. ISSN 0027-8424.
[8] Cataldi, M.; Caro, L. D.; Schifanella, C. Emerging topic detection on Twitter based on temporal and social terms evaluation. Proceedings of the Tenth International Workshop on Multimedia Data Mining. Washington, D.C.: ACM: 1-10 p. 2010.
[9] Zhu, D. et al. Small-world phenomenon of keywords network based on complex network. Scientometrics, v. 97, n. 2, p. 435-442, 2013/11/01 2013. ISSN 0138-9130. In: < >.
[10] Dias, T. M. R. et al. Modeling and Characterization of Scientific Networks: A Study of the Lattes Platform. Brazilian Workshop on Social Network Analysis and Mining (BraSNAM), 2013, Maceió, Brasil.