Sentence examples for centrality which is from inspiring English sources

In degree centrality, which is related to network centralization, is commonly used to rank individuals based on their positioning/influence in the team / network [ 28].

(2) Betweenness centrality which is the number of shortest paths passing through a given node.

These include: (1) Degree centrality which is computed differently for directed and undirected networks.

A variant of eigenvector centrality is PageRank centrality, which is a way of measuring the importance of a node within a graph.

Another example are backward linkages computed with the eigenvector method that are equivalent to the eigenvector centrality which is the largest eigenvector of the matrix that represents the structure of the system.

We can identify them by computing the eigenvector centrality, which is shown as the colour of the nodes in a light blue/blue/violet/red scale: the red nodes have the highest centrality values, and they are the main hubs.

In this paper, we propose some new centrality measure called fuzzy in-degree centrality, fuzzy out-degree centrality, fuzzy in-closeness centrality and fuzzy out-closeness centrality which are applicable to the DFSNs.

With convergent synthesis in mind, we defined a new parameter to quantify the degree of centrality of each atom and bond in a molecule, so-called molecular centrality, which was defined based on squared node distances.

It should be noted that betweenness and closeness centrality, which are often also employed to test network vulnerability, are too computationally inefficient to be considered for these networks.

Betweeness centrality, which was introduced by Freeman in [6] and Anthonisse in [7], measures the proportion of shortest paths passing by a given node.

We extended the measurement of shortest-path length in two ways: (1) characteristic shortest-path distance, which was the shortest-path distance from a gene to another gene in the whole network, and (2) global centrality, which was the shortest-path length between two proteins both belonging to the same gene list, allowing transitions through proteins in other categories.