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
Link To Document