Each node represents a DE protein (circle) or a DE metabolite (square), where the size of each node is proportional to its eigenvector centrality (network influence), and nodes that are more correlated are plotted closer to each other. An edge exists when it connects two nodes with a ...
(KSHR) algorithm to identify spreaders in weighted networks. First, we propose weighted k-shell centrality of the node u by using the k-shell value of $u$, the k-shell value of its neighbors ($v$), and edge weight ($w_{uv}$) between them. We model edges present in the network ...
The simplest way to measure the node influence is by degree centrality [22] (DC), i.e., a focal node with more neighbors implies greater influence. However, several vital nodes, which are holding a lower degree but lying in a “bridge-like” position may exert enormous influence in the ...