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There exist multiple measures in network analysis for characterizing the structure of a network.
PageRank, which captures the relative importance of web pages based on random walk process [28], is one of the most widely used centrality measures in network analysis.
Emerging measures in network dynamics (particularly betweenness centrality and diversity), and entropy are promising as indicators, but their use requires sophisticated interpretations.
The parameters of degree and betweenness are two fundamental measures in network theory.
Also control measures tend to differ in space and time, so that an important issue to be explored is the interplay of dynamic disease control measures in network epidemic models (Green et al. 2011).
The aim of this study was to assess whether the parameters of degree and betweenness, two fundamental measures in network theory, are properties that differentiate between implicated (seed-proteins) and non-implicated nodes (neighbors) in MS and AD.
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All the research work aims at providing a means to estimate the grade of service (GoS) measured in network connectivity probability.
This is a well-defined measure in network analysis that quantifies the extent of modularity seen in an observed network (see Methods).
Problem solving, advice seeking, and social relationships are typical relationships measured in network studies of organisations[ 14].
They classified and compared the different approaches and measures in various network types such as road network, public transportation network, maritime networks, and aviation.
As Zalesky et al. described in their studies, appropriate null networks should be used to benchmark network measures in correlation networks [86].
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