The model fit parameters provide a description of the network strand length distribution in the tight network and show that the network strand concentration increases and the network strand length decreases when a higher crosslinker concentration was used to prepare the tight network.
The length of an ExPa equals to the number of reactions that participate in it [ 13]. Figure 1 shows the histograms of ExPa length distribution for each network/ sub-network above.
We argue that this agent-based model is correct if it is able to reproduce a specific set of macroscopic properties of the different collaboration networks, namely degree distribution, path length distribution, distribution of community sizes, that are not used for the calibration of the model.
The resulting network structures are very different, since end-linking leads to nearly ideal monodisperse networks, while random crosslinking leads to polydisperse networks, characterized by an exponential strand length distribution.
An average path length distribution for random networks was used to estimate comparison significance.
For instance, the network length and transformers capacity data for electricity distribution units are capital parameters and their actual values are not often available.
Also, another reason for the discrepancy could be that the throat length distribution is constant in all tight media networks similar to the original Berea sand network.
The fractures obey a power-law length distribution, as observed in natural fracture networks.
The efficiency of the fault network, thus defined, was found to be insensitive to the exponent of the power law length distribution.
Networks thus prepared have well-controlled architecture in terms of the inter-crosslink chain length (Mc) and chain length distribution: resulting in unimodal, bimodal and clustered structures.
