BraSNAM in perspective: an analysis of its trajectory up to 10 years of existence

Abstract


The increase in pervasiveness and relevance of social media in our daily lives is undeniable. Since 2012, the Brazilian Workshop on Social Network Analysis and Mining (BraSNAM) represents an important forum to bring together researchers to discuss analysis methods, trends, and phenomena in social networks. In 2021, this event completes 10 years, with 230 works presented so far. In addition, it has a community made up of 527 researchers and researchers from 95 different institutions. In light of this framework, this work presents an analysis of the BraSNAM community. The results attest to the sustainable growth of the community, especially concerning its technical-scientific impact. The findings of the work can help the organizing committee in the strategic planning of the subsequent editions.

Keywords: Knowledge Networks, Scientometrics, Keyword Networks, Community Analysis, Collaboration Networks

References

Barabási, A., Jeong, H., Néda, Z., Ravasz, E., Schubert, A., and Vicsek, T. (2002). Evolution of the social network of scientific collaborations. Physica A: Statistical Mechanics and its Applications, 311(3): 590–614.

Chu, J., Wang, Y., Liu, X., and Liu, Y. (2020). Social network community analysis based large-scale group decision making approach with incomplete fuzzy preference relations. Information Fusion, 60: 98–120.

Dakiche, N., Benbouzid-Si Tayeb, F., Slimani, Y., and Benatchba, K. (2019). Tracking community evolution in social networks: A survey. Information Processing & Management, 56(3): 1084–1102.

Digiampietri, L. A., Mugnaini, R., Pérez-Alcázar, J. d. J., MenaChalco, J. P., Delgado, K., and Tuesta, E. F. (2017). Análise da evolucão, impacto e formação de redes nos cinco anos do brasnam. In Proceedings of Brazilian Workshop on Social Network Analysis and Mining (BraSNAM).

Kumar, R., Novak, J., and Tomkins, A. (2010). Structure and Evolution of Online Social Networks, pages 337–357. Springer New York, New York, NY.

Lobato, F. M. F., Silva Junior, J. L. F., Jacob, A., and Lisboa Cardoso,D. (2020). Social crm: A literature review based on keywords network analysis. InAbramowicz, W. and Klein, G., editors,Business Information Systems Workshops, pa-ges 237–249, Cham. Springer International Publishing.

Radhakrishnan, S., Erbis, S., Isaacs, J. A., and Kamarthi, S. (2017). Novel keyword co-occurrence network-based methods to foster systematic reviews of scientific literature. PLOS ONE, 12(3): 1–16.

Souza, I. (2015). Altmetria ou métricas alternativas: conceitos e principais características. AtoZ: novas práticas em informação e conhecimento, 4(2): 58–60.

Su, H.-N. and Lee, P.-C. (2010). Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in technology foresight. Scientometrics, 85(1): 65–79.

Xu, Z., Rui, X., He, J., Wang, Z., and Hadzibeganovic, T. (2020). Superspreaders and superblockers based community evolution tracking in dynamic social networks. Knowledge-Based Systems, 192: 105377.

Zhu, W. and Guan, J. (2013). A bibliometric study of service innovation research: Based on complex network analysis. Scientometrics, 94(3): 1195–1216.
Published
2021-07-18
LOBATO, Fábio M. F.; SOUSA, Gleyce C. de; JACOB JR., Antonio F. L.. BraSNAM in perspective: an analysis of its trajectory up to 10 years of existence. In: BRAZILIAN WORKSHOP ON SOCIAL NETWORK ANALYSIS AND MINING (BRASNAM), 10. , 2021, Evento Online. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2021 . p. 217-228. ISSN 2595-6094. DOI: https://doi.org/10.5753/brasnam.2021.16143.

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