Brain Network Analysis Through Span Integrity of Fuzzy Graphs

被引：0
|
作者：
Sujatha, R. [1 ]
Saravanan, M. [2 ]
Sundareswaran, R. [3 ]
机构：
[1] Shiv Nadar Univ Chennai, Sch Sci & Humanities Math, Chennai 603110, Tamil Nadu, India
[2] Mannar Thirumalai Naicker Coll, Dept Math, Madurai 625004, Tamil Nadu, India
[3] Sri Sivasubramaniya Nadar Coll Engn, Dept Math, Chennai, Tamil Nadu, India
来源：
NEW MATHEMATICS AND NATURAL COMPUTATION | 2023年 / 19卷 / 02期
关键词：
Spanness; integrity; fuzzy graph; span integrity; EEG; brain network;
D O I：
10.1142/S1793005723500205
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
Spanness of fuzzy graph is introduced. By spanness, a new vulnerability parameter, span integrity is defined in fuzzy graph. The span integrity values are found for path, cycle, complete fuzzy graph, complete bipartite fuzzy graphs. Path and cycle with node strength sequence are discussed. Brain network is modeled as a fuzzy graph and Span integrity is applied to the brain network. Span integrity of fuzzy brain network is calculated for before and after meditation models. The results are compared and the improvement in the stability of the brain network is shown.
引用
收藏
页码：525 / 539
页数：15
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