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Doctoral Thesis
DOI
https://doi.org/10.11606/T.55.2013.tde-26082013-105631
Document
Author
Full name
Alan Keller Gomes
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
São Carlos, 2013
Supervisor
Committee
Pimentel, Maria da Graça Campos (President)
Fortes, Renata Pontin de Mattos
Lima, Jose Valdeni de
Munson, Ethan Vincent
Neris, Vânia Paula de Almeida
Title in Portuguese
Representação, extração e avaliação de interações entre usuários de redes sociais online
Keywords in Portuguese
Contigências comportamentais
Interações sociais
Redes sociais online
Regras if-then
Abstract in Portuguese
Com a popularidade e o crescimento das Redes Sociais Online, o interesse pelo entendimento de como seus usuários interagem entre si também tem crescido, configurando assim um cenário rico no qual são criadas oportunidades para melhorar o design de interfaces, compreender a organização de movimentos sociais, o marketing viral e a distribuição de conteúdos multimídia, dentre outros. Na investigação dessas oportunidades de pesquisa, um modelo de representação da atividade dos usuários amplamente empregado é baseado na construção de um grafo. Embora as atividades dos usuários em uma Rede Social Online sejam variadas, assim como as possibilidades de interação entre usuários, a construção de um grafo normalmente considera uma interação específica, que é então analisada a partir da interpretação de medidas baseadas em grafos ou de medidas estatísticas. Técnicas de mineração de dados podem ser empregadas de forma alternativa e complementar ao modelo baseado em grafos, possibilitando a extração e a avaliação de padrões das atividades de usuários. Entretanto, tanto na análise baseada em grafos quanto na utilização de técnicas de mineração de dados, a literatura reporta trabalhos em que são implicitamente representados elementos associados com a atividade dos usuários como ações executadas, mídias compartilhadas, aplicações e tipos de dispositivos utilizados. Nesse cenário, existe uma demanda por um modelo descritivo que permita a representação explícita dos elementos associados com as atividades dos usuários representação essa que possa ser utilizada na extração e na avaliação das interações entre usuários. Para atender essa demanda, nesta tese é apresentada uma técnica e um método para representar, extrair e avaliar interações entre usuários de Redes Sociais Online. São também reportados resultados de experimentos da aplicação da técnica e do método a partir de dados obtidos de uma Rede Social Online
Title in English
Representation, extraction and evaluation of interactions among users of online social networks
Keywords in English
Behavioral contingencies
If-then rules
Online social networks
Social interactions
Abstract in English
The interest in understanding user interactions is increasing with the popularity of Online Social Networks. This scenario leads to rich opportunities to improve the design of interfaces, to understand the organization of social movements, to model the dynamics of viral marketing and to characterize the distribution of multimedia content, among others. In the investigation of these research opportunities, a widely used representation of users activities is based on graphs as underlying data models. Graph data models usually consider a specific interaction, which is analyzed based on the interpretation of statistical measures and graph-based measures. On the other hand, user activities and possibilities of interaction in social networks are multifaceted, so that singleinteraction graph-based approaches might prove to be unfeasible to properly model the problem. In order to deal with these limitations, data mining techniques may be employed as an alternative to graph-based modeling approaches, by enabling extraction and evaluation of users activities as patterns. However, both in the use of the model graph-based as in the use of data mining techniques, the literature reports an implicit representation of elements associated with the users activities such as executed actions, shared media, used applications and devices. In this scenario, there is a demand for a descriptive model which allows explicit representation of the elements associated with users activities - this representation can be used in the extraction and evaluation of interactions among users. To meet this demand, this thesis presents a technique and a method to represent, to extract and to evaluate interactions among users of Online Social Networks. Results of experimentation of applying the technique and method based on data obtained from an Online Social Network are also reported
 
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TeseAlanKeller.pdf (7.62 Mbytes)
Publishing Date
2013-08-26
 
WARNING: The material described below relates to works resulting from this thesis or dissertation. The contents of these works are the author's responsibility.
  • GOMES, A. K., and PIMENTEL, Maria da Graca Campos. A Media-based Social Interactions Analysis Procedure. In ACM Symposium on Applied Computing, Trento, 2012. Proceedings. : ACM, 2012.
  • GOMES, ALAN KELLER, and PIMENTEL, MARIA DA GRAÇA CAMPOS. Media-based social interaction patterns [doi:10.1145/2390876.2390888]. In (SAM'12) The 2012 International Workshop on Socially Aware Multimedia, Nara, 2012. Proceedings of the 2012 international workshop on Socially-aware multimedia - SAM '12.New York : ACM Press, 2012.
  • GOMES, A. K., and PIMENTEL, Maria da Graca Campos. Measuring Synchronous and Asynchronous Sharing of Collaborative Annotations Sessions on Ubi-Videos as Social Interactions [doi:10.1109/U-MEDIA.2011.56]. In The 4th International Conference on Ubi-media Computing (U-Media 2011), São Paulo, 2011. Proceedings. : IEEE, 2011.
  • GOMES, A. K., e PIMENTEL, Maria da Graca Campos. Social Interactions Representation as Users Behavioral Contingencies and Evaluation and Social Networks. In ICSC 2011 - Fifth IEEE International Conference on Semantic Computing, Palo Alto, 2011. Proceedings. : IEEE, 2011. Resumo.
  • GOMES, A. K., PEDROSA, D. C., and PIMENTEL, Maria da Graca Campos. Evaluating Asynchronous Sharing of Links and Annotations Sessions as Social Interactions on Internet Videos. In SAINT2011: The 11th IEEE/IPSJ International Symposium on Applications and the Internet, Munich, 2011. Proceedings. : IEEE, 2011. Abstract. Available from: http://snowman.nagaokaut.ac.jp/saint/.
  • PIMENTEL, Maria da Graca Campos, and GOMES, A. K. A Technique for Human-readable Representation and Evaluation of Media-based Social Interactions in Social Networks. In WebMedia 2011 - Simpósio Brasileiro de Sistemas Multimídia e Web, Florianopolis, 2011. Proceedings. : SBC e ACM, 2011.
  • ASTUDILLO, H., et al. Combining knowledge discovery, ontologies, annotation, and semantic wikis. In Mario Meireles: Fernando Trinta. Minicursos do Webmedia 2009. Organizador. SBC, 2009{Volume}. chap. 1, p. 208-239.http://www.teses.usp.br/teses/disponiveis/55/55134/tde-26082013-105631/
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