Sentence examples for centrality for information from inspiring English sources

Exact(1)

Among these five people, four were also identified as being sought out most often for evidence (ie. degree centrality for information seeking).

Similar(58)

A number of centrality-based measures have been proposed in the network literature, such as degree centrality, centrality beyond nearest neighbors (e.g., Katz centrality, eigenvector centrality, subgraph centrality, PageRank centrality, and vibrational centrality), closeness centrality, betweenness centrality, and information centrality; see Estrada (2012) for details.

Individual differences in traits such as centrality of visual product aesthetics and need for touch have relevance for information search; these traits also differentiate between fashion leaders and fashion followers.

Finally, we propose an attack centrality for nodes based on the topological information of both subnetworks, and investigate the transmission performance under targeted attacks.

Leverage centrality considers the degree of a node relative to its neighbors and operates under the principle that a node in a network is central if its immediate neighbors rely on that node for information.

The overall decrease in network efficiency was paralleled by a stronger betweenness centrality of ipsilesional M1, the latter being a measure of the functional importance of a node for information processing.

For information processing speed and executive function there were significant associations between cognitive performance and eigenvector centrality (binary) in similar regions for both the microbleed and non-microbleed cohorts.

The leverage centrality of a node in a network is determined by the extent to which its immediate neighbors rely on that node for information.

And [Fallon's response] does seem to betray rather a cavalier disregard for the centrality of that information and those considerations.

For information.

We will also evaluate more useful parameters such as subgraph centrality and information centrality to calculate the node importance in both directed and undirected networks [ 58].

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