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English Information

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Authors
# Name
1 Felipe Brito(felipe.timbo@lsbd.ufc.br)
2 Javam Machado(javam.machado@lsbd.ufc.br)

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Reference
# Reference
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2 Brito, F. T. (2023). Differentially private release of count-weighted graphs. PhD thesis, Universidade Federal do Ceara
3 Brito, F. T., Farias, V. A., Flynn, C., Majumdar, S., Machado, J. C., and Srivastava, D. (2023). Global and local differentially private release of count-weighted graphs. Proceedings of the ACM on Management of Data, 1(2):1–25.
4 Brito, F. T. and Machado, J. C. (2017). Preservação de privacidade de dados: Fundamentos, técnicas e aplicações. Jornadas de atualização em informática , pages 91–130.
5 Brito, F. T., Mendonc¸a, A. L. C., and Machado, J. C. (2024). A differentially private guide for graph analytics. In Proceedings 27th International Conference on Extending Database Technology, EDBT 2024, Paestum, Italy, pages 850–853.
6 Camacho, D., Panizo-LLedot, A., Bello-Orgaz, G., Gonzalez-Pardo, A., and Cambria, E. (2020). The four dimensions of social network analysis: An overview of research methods, applications, and software tools. Information Fusion, 63:88–120.
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13 Farias, V. A., Brito, F. T., Flynn, C., Machado, J. C., Majumdar, S., and Srivastava, D. (2020). Local dampening: differential privacy for non-numeric queries via local sensitivity. Proceedings of the VLDB Endowment, 14(4):521–533.
14 Farias, V. A., Brito, F. T., Flynn, C., Machado, J. C., Majumdar, S., and Srivastava, D. (2023). Local dampening: Differential privacy for non-numeric queries via local sensitivity. The VLDB Journal, pages 1–24.
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22 Leal, B. C., Vidal, I. C., Brito, F. T., Nobre, J. S., and Machado, J. C. (2018). -doca: Achieving privacy in data streams. In International Workshop on Data Privacy Management, pages 279–295. Springer.
23 Leskovec, J., Adamic, L. A., and Huberman, B. A. (2007). The dynamics of viral marketing. ACM Transactions on the Web (TWEB), 1(1):5–es.
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25 Manr´ıquez, R., Guerrero-Nancuante, C., Mart´ınez, F., and Taramasco, C. (2021). Spread of epidemic disease on edge-weighted graphs from a database: A case study of covid19. International Journal of Environmental Research and Public Health, 18(9):4432.
26 Matsumoto, H., Yoshida, S., and Muneyasu, M. (2021). Propagation-based fake news detection using graph neural networks with transformer. In 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE), pages 19–20. IEEE.
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28 Mendonça, A. L., Brito, F. T., Linhares, L. S., and Machado, J. C. (2017). Dipcoding: a differentially private approach for correlated data with clustering. In Proceedings of the 21st International Database Engineering & Applications Symposium, pages 291–297.
29 Mendonça, A. L., Brito, F. T., and Machado, J. C. (2023). Privacy-preserving techniques for social network analysis. In Anais Estendidos do XXXVIII Simposio Brasileiro de ´ Bancos de Dados, pages 174–178. SBC.
30 Mendonça, A. L., Brito, F. T., and Machado, J. C. (2024). Analise de dados privada em ´ redes sociais. Jornadas de atualizac¸ao em inform ˜ atica ´ .
31 Monteiro, F. C., Brito, F. T., Chaves, I. C., and Machado, J. C. (2023). Compartilhamento de dados de trafego de rede utilizando privacidade diferencial. In ´ Anais do L Seminario ´ Integrado de Software e Hardware, pages 296–307. SBC.
32 Neto, E. R., Mendonc¸a, A. L., Brito, F. T., and Machado, J. C. (2018). Privlbs: uma abordagem para preservac¸ao de privacidade de dados em servic¸os baseados em localizac¸ ˜ ao. ˜ In Anais do XXXIII Simposio Brasileiro de Banco de Dados ´ , pages 109–120. SBC.
33 Newman, M. E. (2003). The structure and function of complex networks. SIAM review, 45(2):167–256
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36 Silva, R. R. C., Leal, B. C., Brito, F. T., Vidal, V. M., and Machado, J. C. (2017). A differentially private approach for querying rdf data of social networks. In Proceedings of the 21st International Database Engineering & Applications Symposium, pages 74– 81.
37 Varol, O., Ferrara, E., Menczer, F., and Flammini, A. (2017). Early detection of promoted campaigns on social media. EPJ data science, 6:1–19.
38 Wang, D. and Long, S. (2019). Boosting the accuracy of differentially private in weighted social networks. Multimedia Tools and Applications, 78(24):34801–34817.