The use of URLs for the characterization of communities in Online Social Networks
Abstract
For a better understanding of the complex organization of individuals in online social networks, it is essential to investigate user groups and discussions around certain subjects. This work presents a methodology for the characterization of groups in social networks based on external sources used by their users to construct the arguments conducted on discussion. An analysis around the discussion in Twitter about COVID-19 vaccination in Brazil shows that the methodology is able to advance the understanding of the way information is produced and propagated, and the differences that the distinct groups of users use external sources of information.
Keywords:
Social networks, information source, communities, covid-19
References
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Garimella, K., De Francisci Morales, G., Gionis, A., and Mathioudakis, M. (2018). Political discourse on social media: Echo chambers, gatekeepers, and the price of bipartisanship. In Proceedings of the 2018 World Wide Web Conference, pages 913–922.
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Martins, E., Gonçalves, K., and Filho, R. M. (2019). Caracterizando a campanha presidencial brasileira em 2018 usando dados do twitter. In Anais do VIII Brazilian Workshop on Social Network Analysis and Mining, pages 131–142, Porto Alegre, RS, Brasil. SBC.
Morstatter, F., Shao, Y., Galstyan, A., and Karunasekera, S. (2018). From alt-right to alt-rechts: Twitter analysis of the 2017 german federal election. In Companion Proceedings of the The Web Conference 2018, pages 621–628.
Resende, G., Messias, J., Silva, M., Almeida, J., Vasconcelos, M., and Benevenuto, F. (2018). A system for monitoring public political groups in whatsapp. In Proceedings of the 24th Brazilian Symposium on Multimedia and the Web, pages 387–390. ACM.
Blondel, V. D., Guillaume, J.-L., Lambiotte, R., and Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of statistical mechanics: theory and experiment, 2008(10):P10008.
Christhie, W., Reis, J. C. S., Moro, F. B. M. M., and Almeida, V. (2018). Detecção de posicionamento em tweets sobre política no contexto brasileiro. In Anais do VII Brazilian Workshop on Social Network Analysis and Mining, Porto Alegre, RS, Brasil. SBC.
Cossard, A., Morales, G. D. F., Kalimeri, K., Mejova, Y., Paolotti, D., and Starnini, M. (2020). Falling into the echo chamber: the italian vaccination debate on twitter. In Proceedings of the International AAAI Conference on Web and Social Media, volume 14, pages 130–140.
Garimella, K., De Francisci Morales, G., Gionis, A., and Mathioudakis, M. (2018). Political discourse on social media: Echo chambers, gatekeepers, and the price of bipartisanship. In Proceedings of the 2018 World Wide Web Conference, pages 913–922.
Guimarães, S. S., Reis, J. C., Lima, L., Ribeiro, F. N., Vasconcelos, M., An, J., Kwak, H., and Benevenuto, F. (2020). Identifying and characterizing alternative news media on facebook. In 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pages 448–452. IEEE.
Martins, E., Gonçalves, K., and Filho, R. M. (2019). Caracterizando a campanha presidencial brasileira em 2018 usando dados do twitter. In Anais do VIII Brazilian Workshop on Social Network Analysis and Mining, pages 131–142, Porto Alegre, RS, Brasil. SBC.
Morstatter, F., Shao, Y., Galstyan, A., and Karunasekera, S. (2018). From alt-right to alt-rechts: Twitter analysis of the 2017 german federal election. In Companion Proceedings of the The Web Conference 2018, pages 621–628.
Resende, G., Messias, J., Silva, M., Almeida, J., Vasconcelos, M., and Benevenuto, F. (2018). A system for monitoring public political groups in whatsapp. In Proceedings of the 24th Brazilian Symposium on Multimedia and the Web, pages 387–390. ACM.
Published
2022-07-31
How to Cite
BARBOSA, Carlos M. G.; FÉLIX, Lucas G. da S.; ALVES, Antônio Pedro S.; XAVIER, Carolina Ribeiro; VIEIRA, Vinícius da Fonseca.
The use of URLs for the characterization of communities in Online Social Networks. In: BRAZILIAN WORKSHOP ON SOCIAL NETWORK ANALYSIS AND MINING (BRASNAM), 11. , 2022, Niterói.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2022
.
p. 25-36.
ISSN 2595-6094.
DOI: https://doi.org/10.5753/brasnam.2022.223262.
