| Full text | |
| Author(s): Show less - |
Spadon, Gabriel
;
Machado, Bruno B.
;
Eler, Danilo M.
;
Rodrigues Jr, Jose F.
;
Shi, Y
;
Fu, H
;
Tian, Y
;
Krzhizhanovskaya, VV
;
Lees, MH
;
Dongarra, J
;
Sloot, PMA
Total Authors: 11
|
| Document type: | Journal article |
| Source: | COMPUTATIONAL SCIENCE - ICCS 2018, PT I; v. 10860, p. 14-pg., 2018-01-01. |
| Abstract | |
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. (AU) | |
| FAPESP's process: | 16/17078-0 - Mining, indexing and visualizing Big Data in clinical decision support systems (MIVisBD) |
| Grantee: | Agma Juci Machado Traina |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 17/08376-0 - Analysis and improvement of urban systems using digital maps in the form of complex networks |
| Grantee: | Gabriel Spadon de Souza |
| Support Opportunities: | Scholarships in Brazil - Doctorate |