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

doi:10.1109/ICUFN.2013.6614784

	Robustness of community structure algorithm of complex network in the task state brain function
	Li, Hongyong 1; Ke, Ming 1; Chen, Xuhui 2
	2013
会议日期	July 2, 2013 - July 5, 2013
会议地点	Da Nang, Viet nam
关键词	Complex networks Robustness (control systems) Brain function networks Brain functions Community structures Connection strength Greedy algorithms Perturbation model Random disturbances Strong robustness
DOI	10.1109/ICUFN.2013.6614784
页码	88-93
英文摘要	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. © 2013 IEEE.
会议录	International Conference on Ubiquitous and Future Networks, ICUFN
会议录出版者	IEEE Computer Society
语种	英语
ISSN号	21658528
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/117757]
专题	计算机与通信学院
作者单位	1.College of Computer and Communication, Lanzhou University of Technology, Lanzhou, 730050, China; 2.Key Lab of the Internet of Things Application Technology, Xiamen University of Technology, Xiamen, 361024, China
推荐引用方式 GB/T 7714	Li, Hongyong,Ke, Ming,Chen, Xuhui. Robustness of community structure algorithm of complex network in the task state brain function[C]. 见:. Da Nang, Viet nam. July 2, 2013 - July 5, 2013.