• Exploiting graphlet decomposition to explain the structure of complex networks: the GHuST framework 

      Espejo González, Rafael; Mestre Marcos, Guillermo; Postigo Marcos, Fernando Emilio; Lumbreras Sancho, Sara; Ramos Galán, Andrés; Huang, Tao; Bompard, Ettore
      The characterization of topology is crucial in understanding network evolution and behavior. This paper presents an innovative approach, the GHuST framework (Global connectivity, HUbs, Strings and Triangles), to describe ...
    • Validation of synthetic U.S. power distribution system data sets 

      Krishnan, Venkat; Bruce, Bugbee; Elgindy, Tarek; Mateo Domingo, Carlos; Dueñas Martínez, Pablo; Postigo Marcos, Fernando Emilio; Lacroix, Jean-Sebastien; Gómez San Román, Tomás; Palmintier, Bryan
      There is a strong need for synthetic yet realistic distribution system test data sets that are as diverse, large, and complex to solve as real systems. Such datasets can facilitate the development of advanced algorithms ...