Sentence examples for centrality statistics from inspiring English sources

There are many centrality statistics, each tapping a different aspect of social structure, when combined with decisions about actors and which relations to code, this creates a versatile tool kit through which to understand group structure.

For instance, two studies used centrality statistics to help uncover core-periphery structures (studies Baker and Faulkner 1993; Borgatti and Everett 1992)—this perspective argues that within each network a cluster of core actors dominate, and accrue the most benefit, from the network.

Node degree and eigenvector centrality statistics appear in Figures 1A and 1B as examples.

Minor comments: The example of calculating stress in the network of oncogenes in the manuscript should comply with experimental functional relevance, e.g. a decrease in bridging centrality is observed for key intermodular nodes upon heat shock response or oxidative stress, partially disintegrating overlapping modules into local communities which alters the centrality statistics of the nodes,.

The example of calculating stress in the network of oncogenes in the manuscript should comply with experimental functional relevance, e.g. a decrease in bridging centrality is observed for key intermodular nodes upon heat shock response or oxidative stress, partially disintegrating overlapping modules into local communities which alters the centrality statistics of the nodes,.

I noted the centrality of timely statistics to meaningful progress toward Sustainable Development Goals.

Of note, only two studies combined centrality and embedding statistics to explain the security and efficiency trade-off (studies: Calderoni et al. 2014; Morselli et al. 2007).

This could be the reason why network motifs were clearly less conserved than gene centrality and network statistics.

We performed an extensive investigation of network properties by comparing degree distributions, gene centralities and subnetwork statistics across species and CLR thresholds.

A person's current municipality of residence is classified into one out of four centrality categories based on Statistics Norway's standard classification.

Many theoretical models predict how node-level outcomes vary with the 'position' of a node in the network, captured by node varying network statistics such as centrality; or with features of the node's local neighbourhood such as node clustering; or with the 'connectivity' of the network, represented by statistics that vary at the network level such as network density.