• DocumentCode
    3265300
  • Title

    Robustness of community structure algorithm of complex network in the task state brain function

  • Author

    Hongyong Li ; Ming Ke ; Xuhui Chen

  • Author_Institution
    Coll. of Comput. & Commun., Lanzhou Univ. of Technol., Lanzhou, China
  • fYear
    2013
  • fDate
    2-5 July 2013
  • Firstpage
    88
  • Lastpage
    93
  • Abstract
    We used the seed-voxel method to construct a brain function network and divided the community structure by greedy algorithm based on the n-back task. And then, we explored brain function network community structure robustness based on improved perturbation model. The results showed that random disturbance has little effect on the community structure, brain function network showed strong robustness. However, the brain function network showed vulnerability in the case of deliberate disturbance. Finally, we found that community connection strength was negatively correlated with robustness, community structure in the best divided state not mean the community robustness reach best, and no synchronization between them.
  • Keywords
    complex networks; greedy algorithms; neurophysiology; perturbation techniques; random processes; synchronisation; brain function network community structure robustness; community connection strength; community structure algorithm; complex network; greedy algorithm; n-back task; perturbation model; random disturbance; seed-voxel method; synchronization; task state brain function; Brain modeling; Communities; Complex networks; Power system faults; Power system protection; Robustness; Brain function network; Community structure; Robustness; n-back;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous and Future Networks (ICUFN), 2013 Fifth International Conference on
  • Conference_Location
    Da Nang
  • ISSN
    2165-8528
  • Type

    conf

  • DOI
    10.1109/ICUFN.2013.6614784
  • Filename
    6614784