A Distance-Based Tool-Set to Track Inconsistent Urban Structures Through Complex-Networks

• Autor(a) principal: Spadon, Gabriel
• Data de Publicação: 2018
• Outros Autores: Machado, Bruno B., Eler, Danilo M. [UNESP], Rodrigues Jr, Jose F., Shi, Y., Fu, H., Tian, Y., Krzhizhanovskaya, V. V., Lees, M. H., Dongarra, J., Sloot, PMA
• Tipo de documento: Artigo de conferência
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.1007/978-3-319-93698-7_22; http://hdl.handle.net/11449/196993
• topic: Complex network; Network analysis; Urban structure

Complex networks can be used for modeling street meshes and urban agglomerates. With such a model, many aspects of a city can be investigated to promote a better quality of life to its citizens. Along these lines, this paper proposes a set of distance-based pattern-discovery algorithmic instruments to improve urban structures modeled as complex networks, detecting nodes that lack access from/to points of interest in a given city. Furthermore, we introduce a greedy algorithm that is able to recommend improvements to the structure of a city by suggesting where points of interest are to be placed. We contribute to a thorough process to deal with complex networks, including mathematical modeling and algorithmic innovation. The set of our contributions introduces a systematic manner to treat a recurrent problem of broad interest in cities.