Spatial distribution of graffiti types: a complex network approach

Autor(es)

Tokuda, Eric K. ^[1] ; de Arruda, Henrique F. ^[1] ; Comin, Cesar H. ^[2] ; Jr, Roberto M. Cesar ; Silva, Claudio T. ^[3] ; Costa, Luciano da F. ^[4]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Sao Paulo - Brazil

^[2] Univ Fed Sao Carlos, Sao Carlos - Brazil

^[3] NYU, New York, NY - USA

^[4] Jr, Jr., Roberto M. Cesar, Univ Sao Paulo, Sao Paulo - Brazil

• Tipo de documento: Artigo Científico
• Fonte: European Physical Journal B; v. 94, n. 9 SEP 2021.
• Citações Web of Science: 0

Resumo

Urban art constitutes an important issue in urbanism. Previous studies on the spatial distribution of graffiti rarely consider visual categories and how the city topology can impact graffiti production. In this work, after assigning graffiti occurrences to three categories, we analyzed their spatial distribution while searching for possible biases. Concepts from complex networks were adopted. First, communities defined by the connectivity profiles of the city network were obtained and the prevalence of each type of graffiti over these regions was analyzed. Next, to study the relationship between the density of graffiti occurrences with the visibility of specific city localities, a measurement (accessibility) based on the dynamics of the network was related to the distribution of the occurrences of graffiti of each type. Our case study considered the city of Sao Paulo, Brazil. The results showed good agreement of the detected communities with the main city areas and no biases between the relative density of each type of graffiti. Relatively high correlations were obtained between the density of graffiti and the accessibility when calculated inside each of the identified communities, suggesting that graffiti tends to appear more frequently in certain regions of the city with high accessibility. Graphic abstract (AU)

• Processo FAPESP: 19/01077-3 - Integrando imagens e redes complexas na análise de cidades
• Beneficiário: Eric Keiji Tokuda
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 19/16223-5 - Análise de dinâmicas de opinião em termos de estrutura e dinâmica de redes complexas
• Beneficiário: Henrique Ferraz de Arruda
• Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Pós-Doutorado
• Processo FAPESP: 18/09125-4 - Representação, caracterização e modelagem de imagens biológicas utilizando redes complexas
• Beneficiário: Cesar Henrique Comin
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Processo FAPESP: 15/22308-2 - Representações intermediárias em Ciência Computacional para descoberta de conhecimento
• Beneficiário: Roberto Marcondes Cesar Junior
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Processo FAPESP: 18/10489-0 - Transformações de redes complexas e suas implicações na topologia e dinâmica de sistemas complexos
• Beneficiário: Henrique Ferraz de Arruda
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado