Open Science Research Excellence
@article{(International Science Index):http://waset.org/publications/17190,
  title    = {A Preliminary Study on Effects of Community Structures on Epidemic Spreading and Detection in Complex Networks },
  author    = {Yi Yu and  Gaoxi Xiao},
  country   = {Singapore},
  institution={Nanyang Technological University},
  abstract  = {Community structures widely exist in almost all real-life networks. Extensive researches have been carried out on detecting community structures in complex networks. However, many aspects of how community structures may affect the dynamics and properties of complex networks still remain unclear. In this work, we examine the impacts of community structures on the epidemic spreading and detection in complex networks. Extensive simulation results show that community structures may not help decrease the infection size at steady state, yet they could indeed help slow down the infection spreading. Also, networks with strong community structures may expect to have a smaller average infection size when equipped with a number of sparsely deployed monitors.
},
    journal   = {International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering},  volume    = {7},
  number    = {10},
  year      = {2013},
  pages     = {1347 - 1351},
  ee        = {http://waset.org/publications/17190},
  url       = {http://waset.org/Publications?p=82},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 82, 2013},
}