Mining Social Profiles in Temporal Networks

  • Jeancarlo C. Leão Federal University of Minas Gerais
  • Michele A. Brandão Federal University of Minas Gerais
  • Pedro O. S. Vaz de Melo Federal University of Minas Gerais
  • Alberto H. F. Laender Federal University of Minas Gerais

Abstract


The number and types of relationship that members of a social network establish suggest the profile that each individual develops over time. In this paper, we propose a mining method capable of identifying and recovering social profiles from topological aspects in temporal networks. The application of this method allows the identification of persistent profiles and explicit patterns that suggest relationship models in social networks.

Keywords: Topology in social networks, persistent profiles, relationship models

References

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Published
2017-10-02
LEÃO, Jeancarlo C.; BRANDÃO, Michele A.; DE MELO, Pedro O. S. Vaz; LAENDER, Alberto H. F.. Mining Social Profiles in Temporal Networks. In: BRAZILIAN SYMPOSIUM ON DATABASES (SBBD), 32. , 2017, Uberlândia/MG. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2017 . p. 264-269. ISSN 2763-8979. DOI: https://doi.org/10.5753/sbbd.2017.174665.