Sentence examples for centrality is based on from inspiring English sources

Leverage centrality is based on the notion that a node with degree higher than the degree of its neighbors is likely to be more influential on its neighbors and vice-versa.

The simplified form of a feedback centrality termed eigenvector centrality is based on the Perron-Frobenius theorem which ensures that for a strongly connected graph, the leading eigenvector of the adjacency matrix contains only real positive values ([5]).

The largest reach centrality is based on the shortest path between two nodes and is affected by all the other nodes in the network.

This centrality is based on the shortest path between two nodes and the value of the centrality is affected by all other nodes in the network.

Eigenvector centrality is based on the leading eigenvector of a network's matrix and measures both how well a node is connected and how well its immediate connections are connected (Newman 2004).

While degree centrality gives a simple count of the number of interactions of a given node, eigenvector centrality is based on how influential are the neighbors, weighting their interactions.

Based on the set of shortest path in a graph, some other centrality indices are worth being mentioned: stress centrality, that is based on the enumeration of shortest paths; shortest-path betweenness centrality is a kind of stress centrality that accounts for the fraction of shortest paths between two nodes that contain a third node.

In contrast, the betweenness centrality measure is based on relative numbers of shortest paths going via the node of interest and those bypassing it.

The closeness centrality [ 46] is based on the shortest path length between nodes i and j, d i, j).

Mathematically, eigenvector centrality is a positive multiple of the sum of adjacent centralities [13], and is based on the philosophy that a node is more central if its neighbors are also highly central.

After generating the disease-specific and drug-specific gene-gene networks we ran a prioritization process that is based on different centrality measures; namely, degree centrality, closeness centrality and betweenness centrality.