Behavioral Analysis for Child Protection in Social Network through Data Mining and Multiagent Systems

Mário Sérgio Rodrigues Falcão Jr., Enyo José Tavares Gonçalves, Ticiana Linhares Coelho da Silva, Marcos de Oliveira

2016

Abstract

The Internet connects millions of people worldwide, enabling diverse ways of interaction and social organization. Online Social Networks such as Facebook, MySpace, and Twitter, have created a new form of socialization that can provide good experiences for users. However, such systems, as well as connecting people, expose their users lives to others, making them subject of exploitation in many ways. This work explores specifically children and teenagers degree of exposition on Facebook. Due to the risk offered in distinct layers of the Internet, the aim of this work is to develop a smart tool that helps to avoid the action of individuals that are possibly a risky for children and teenagers, users of the social network Facebook, applying Data Mining techniques in a Multiagent System.

References

  1. Belloni, M.L., 2001. O que é mídia-educação (Vol. 78). Autores Associados.
  2. Bombonatto, Q. 2012. Associação Brasileira de Psicopedagogia. XVI Encontro de Psicopedagogia do Ceará, na UNICHRISTUS. Fortaleza, Brasil.
  3. Buckingham, D., 2000. After the Death of Childhood: Growing Up in the Age of Electronic Media.
  4. Bellifemine, F.L., Caire, G. and Greenwood, D., 2007. Developing multi-agent systems with JADE (Vol. 7). John Wiley & Sons.
  5. Fire, M., Kagan, D., Elyashar, A. and Elovici, Y., 2014. Friend or foe? Fake profile identification in online social networks. Social Network Analysis and Mining, 4(1), pp.1-23.
  6. Kietzmann, J.H., Hermkens, K., McCarthy, I.P. and Silvestre, B.S., 2011. Social media? Get serious! Understanding the functional building blocks of social media. Business horizons, 54(3), pp.241-251.
  7. Campos, L.M.L., 2014. Mineração de Dados com Detecção de Outliers em Tarefas de Predição de Séries Temporais, XI Simpósio de excelência em gestão e tecnologia. SEGET.
  8. Mazman, S.G. and Usluel, Y.K., 2009. The usage of social networks in educational context. World Academy of Science, Engineering and Technology, 49(1), pp.404- 408.
  9. Nyce, C. and CPCU, A., 2007. Predictive analytics white paper. American Institute for CPCU. Insurance Institute of America, pp.9-10.
  10. Pereira, S.E.F.N., 2009. Redes sociais de adolescentes em contexto de vulnerabilidade social e sua relação com os riscos de envolvimento com o tráfico de drogas.
  11. Quinlan, J.R., 1986. Induction of decision trees. Machine learning, 1(1), pp.81-106.
  12. Yamashita, R., 2009. Facebook4J A most easily usable Facebook API wrapper in Java. Retrieved from http://facebook4j.org/en/index.html.
  13. Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P. and Witten, I.H., 2009. The WEKA data mining software: an update. ACM SIGKDD explorations newsletter, 11(1), pp.10-18.
  14. Ribeiro, R., Teixeira, M., Wirth, A., Borges, A. and Enembreck, F. A., 2015. A learning model for intelligent agents applied to poultry farming. In: International Conference on Enterprise Information Systems (ICEIS). Proceedings of the 17th International Conference on Enterprise Information Systems (ICEIS), Barcelona, Spain.
  15. Silveira V., Campos, G., Cortés, M., 2014. A Problemsolving Agent to Test Rational Agents - A Case Study with Reactive Agents. In: International Conference on Enterprise Information Systems (ICEIS). Lisbon, Portugal.
  16. Santin, P. L. L., Freitas, C. O. A., Paraiso, E. C., 2011. Análise automática de textos de mensagens instantâneas para detecção de aliciamento sexual de crianças e adolescentes. V. 2, n. 2, p. 43-59, PUC - Paraná,.
  17. Silvio, C., 2012. 38% das crianças no Facebook têm idade abaixo do permitido, LeiaJá, v. 21, n.7, edição 344, p.18-22, São Paulo.
  18. Lemieux, V., Ouimet, M. and Pereira, S., 2008. Análise estrutural das redes sociais.
Download


Paper Citation


in Harvard Style

Jr. M., Gonçalves E., Silva T. and de Oliveira M. (2016). Behavioral Analysis for Child Protection in Social Network through Data Mining and Multiagent Systems . In Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-187-8, pages 306-313. DOI: 10.5220/0005872103060313


in Bibtex Style

@conference{iceis16,
author={Mário Sérgio Rodrigues Falcão Jr. and Enyo José Tavares Gonçalves and Ticiana Linhares Coelho da Silva and Marcos de Oliveira},
title={Behavioral Analysis for Child Protection in Social Network through Data Mining and Multiagent Systems},
booktitle={Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2016},
pages={306-313},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005872103060313},
isbn={978-989-758-187-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Behavioral Analysis for Child Protection in Social Network through Data Mining and Multiagent Systems
SN - 978-989-758-187-8
AU - Jr. M.
AU - Gonçalves E.
AU - Silva T.
AU - de Oliveira M.
PY - 2016
SP - 306
EP - 313
DO - 10.5220/0005872103060313