Open AccessGroup Leverage Centrality and its Applications in Brain Networks
Author(s) -
Amogh Gupta,
Harish Balaji,
R. Sundareswaran,
V. Mahesh,
B. Geetanjali
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1187/1/012001
Subject(s) - centrality , leverage (statistics) , katz centrality , network controllability , node (physics) , computer science , business , betweenness centrality , mathematics , artificial intelligence , engineering , combinatorics , structural engineering
The concept of leverage centrality is the relationship between the degree of a node relative to its neighbours and operates under the principle that a node in a network is central if its immediate neighbours rely on it for information. It was specifically formulated for brain networks. In this paper, we have built upon leverage centrality and introduced group leverage centrality, which is a measure of how important a subset of nodes is in the network. Then, the effects of meditation on different lobes of the brain were quantified using this new centrality measure