@InProceedings{PortoQuil:2014:MeGeTi,
               author = "Porto, Sandy Moreira and Quiles, Marcos Gon{\c{c}}alves",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universidade Federal de S{\~a}o Paulo (UNIFESP)}",
                title = "A Methodology for Generating Time-Varying Complex Networks with 
                         Community Structure",
            booktitle = "Proceedings...",
                 year = "2014",
               editor = "Murgante, B.",
                pages = "344--359",
         organization = "International Conference on Computational Science and Its 
                         Applications, 14. (ICCSA 2014).",
            publisher = "Springer",
             keywords = "Dynamic networks, time-varying networks, community detection, 
                         benchmark networks.",
             abstract = "There is a demand of benchmark networks for testing community 
                         detection algorithms in dynamic scenarios. For generating these 
                         benchmarks is necessary to have a methodology able to create 
                         controlled networks that simulate the natural behavior of 
                         communities over time. This work aims to fill this gap by 
                         presenting a methodology for generating dynamic complex networks 
                         with community structure. Computer experiments show that our 
                         methodology can, starting from an initial network, evolve its 
                         communities over time while the overall modular structure of the 
                         network is preserved.",
  conference-location = "Guimar{\~a}es",
      conference-year = "2014",
                label = "lattes: 8707473792725178 1 PortoQuil:2014:MeGeTi",
             language = "en",
        urlaccessdate = "20 abr. 2024"
}