Afinimapa: mapeamento relacional de comunidades, topologias de afinidade

• Autor(a) principal: Corrêa, Marcelo Stoppa Augusto
• Data de Publicação: 2016
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da PUC_SP
• Texto Completo: https://tede2.pucsp.br/handle/handle/19061
• topic: Big Data; Visualização de dados; Infografia; Data visualization; Infographics; Sociometry; CNPQ::ENGENHARIAS

The modern spirit performed deep, structural transformations in society. The new and more fluid socio-political settings changed not only the way interpersonal relations happen, but also the arrangements by which individuals may attach to one another: groups, multitudes or communities have evolved to a new dimension. The socio-political changes and the growing sophistication of media render the groupings ephemeral, empowers the crowds and favors the creation of new and hybrid communicational and cultural codes through cultural identity clashes caused by faster economic exchange. The present work lays out a methodology that aims the collaboration to research relational, cultural and social phenomena in groups, to analyze crowd and community dynamics through an ensemble of techniques to crawl, analyze and visualize data and build relational and affinity topologies which we named affinimaps. This transdisciplinary methodology stands on Big Data, Open Data, analytics, ontologies and complex data visualization algorithms, as the technical axis; on the works of Jacob Levy Moreno and Timothy Leary, as the psychological and sociometric axis; and on infographics and topology, on the artistic axis. It intends to offer the representation of complex relations of different sorts of actors so as to transcend the vision and improve the detection of arrangement and behavior patterns. This way, it might contribute to the research conducted by different knowledge areas investigating the relationships between men and the world