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The connectivity properties of the network depend on cluster statistics.
The properties of the network are given in Table 1.
The model predicted the statistical properties of the network delays as many users logged on and off.
We hypothesize that this effect is also due to the communication properties of the network.
To determine the structural properties of the network, different metrics are also computed.
In the following section, we have described different structural properties of the network.
The properties of the network were examined using degree centrality, clustering coefficient, and degree distribution methods.
Cytoscape 3.0.2 was used for the generation of statistical properties of the network [34].
They seldom consider the intrinsic properties of the network system, such as its interdependencies and recovery.
Networks exhibit complexities in the overall topological properties and dynamical properties of the network nodes.
A discrete fracture network model was then used stochastically to investigate the properties of the network.
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