@PhDThesis{Santos:2014:CoCaSe,
               author = "Santos, Leonardo Bacelar Lima",
                title = "Redes complexas de base territorializada (RCBT): conceito, 
                         caracteriza{\c{c}}{\~a}o e seu potencial de 
                         aplica{\c{c}}{\~a}o na modelagem epidemiol{\'o}gica",
               school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                 year = "2014",
              address = "S{\~a}o Jos{\'e} dos Campos",
                month = "2014-04-14",
             keywords = "sistemas complexos, Mobilidade, dengue, modelo gravitacional, 
                         sistemas de informa{\c{c}}{\~o}es geogr{\'a}ficas, complex 
                         systems, mobility, dengue, gravitational model, geographic 
                         information systems.",
             abstract = "A presente tese define Redes Complexas de Base Territorializada 
                         (RCBT): grafos com um grande n{\'u}mero de v{\'e}rtices, todos 
                         de localiza{\c{c}}{\~a}o espacial conhecida, e regras de 
                         conex{\~a}o que envolvem depend{\^e}ncia espacial e que n{\~a}o 
                         operam nem de forma regular, nem completamente aleat{\'o}ria. A 
                         cria{\c{c}}{\~a}o do conceito demanda o desenvolvimento de 
                         m{\'e}todos para tratar dados reais e analisar os resultados do 
                         ponto de vista das redes (no formalismo da f{\'{\i}}sica 
                         estat{\'{\i}}stica) e do fen{\^o}meno tratado (sistemas 
                         complexos). Ao longo do texto {\'e} apresentado um ciclo completo 
                         que vai da apropria{\c{c}}{\~a}o dos dados de Origem-Destino 
                         {\`a} an{\'a}lise dos padr{\~o}es de circula{\c{c}}{\~a}o e 
                         das RCBT constru{\'{\i}}das com base nesses dados. A 
                         visualiza{\c{c}}{\~a}o em Sistema de Informa{\c{c}}{\~o}es 
                         Geogr{\'a}ficas dos diferentes padr{\~o}es de 
                         circula{\c{c}}{\~a}o e dos atributos das RCBT ajuda a 
                         compreender espacialmente o conceito de Espa{\c{c}}o de 
                         Atividade: conjunto de todos os territ{\'o}rios 
                         acess{\'{\i}}veis a um indiv{\'{\i}}duo, desenvolvido como um 
                         conceito da geografia humana e hoje fundamental para a modelagem 
                         computacional de epidemias, especialmente em escala intraurbana. 
                         Em rela{\c{c}}{\~a}o aos padr{\~o}es de circula{\c{c}}{\~a}o, 
                         foi apresentada uma inova{\c{c}}{\~a}o para o ajuste 
                         gravitacional do fluxo de viagens em fun{\c{c}}{\~a}o do 
                         comprimento efetivo da rota. Pelas RCBT foram obtidas assinaturas 
                         cl{\'a}ssicas de Sistemas Complexos na abordagem de Redes 
                         Complexas: distribui{\c{c}}{\~a}o livre de escala, efeito de 
                         pequeno mundo e comportamento hier{\'a}rquico, simultaneamente 
                         {\`a} an{\'a}lise geogr{\'a}fica dos resultados. ABSTRACT: The 
                         present thesis defines complex networks of territorialized base 
                         (CNTB): graphs with a large number of nodes, all of known spatial 
                         location, and connection rules that involve spatial dependence and 
                         that do not operate in a regular pattern, nor completely random. 
                         The creation of this concept ais o demands the development of 
                         methods to treat actual data and analyze the results from the 
                         point of view of complex networks (in the formalism of Statistical 
                         Physics) and of the phenomena under study (Complex Systems). 
                         Throughout the text it is given a original and full cycle that 
                         will cover the appropriation of origin-destination data to the 
                         analysis of the movement patterns and the CNTB construction based 
                         on these data. The visualization, in Geographical Information 
                         Systems, of the different patterns of movement, and the attributes 
                         of the CNTB, helps understanding the concept of Spatial Activity 
                         Space: set of all the territories that are accessible to an 
                         individual, developed as a concept of human geography and today 
                         fundamental to computational modeling of epidemics, especially in 
                         the intraurban scale. Regarding movement patterns, was presented a 
                         gravitational adjustment for travei flow as a route's length 
                         function. By the use of CNTB, classic signatures were obtained 
                         from complex systems using the complex networks approach: 
                         scale-free distribution, small-world effect and hierarchical 
                         behavior, simultaneously to the geographical analysis of the 
                         results.",
            committee = "Macau, Elbert Einstein Nehrer (presidente) and Monteiro, 
                         Ant{\^o}nio Miguel Vieira (orientador) and Carvalho, Solon 
                         Ven{\^a}ncio de and Medeiros, Liliam C{\'e}sar de Castro and 
                         Code{\c{c}}o, Claudia Torres and Coelho, Flavio Code{\c{c}}o",
         englishtitle = "Complex networks of territorialized base (CNTB): concepts, 
                         characterization and its potential application in epidemiological 
                         modelling.",
             language = "pt",
                pages = "107",
                  ibi = "8JMKD3MGP5W34M/3FTRKGH",
                  url = "http://urlib.net/ibi/8JMKD3MGP5W34M/3FTRKGH",
           targetfile = "publicacao.pdf",
        urlaccessdate = "27 abr. 2024"
}