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Figure 5 Network load for the different routing schemes in the dynamic network.
Figure 4 Average hops in data transmission for different routing schemes in the dynamic network.
We also propose a method to calculate the risk of virus propagation in the dynamic network.
(b) Average hops and link quality with different β values in the dynamic network with 100 nodes (α = 0.4).
For each type of change, we will specifically describe how the algorithm calculates the propagation power in the dynamic network.
As a rapid re-positioning that is happening in the dynamic network, extra energy demand and time is needed.
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In our case, the stable active proteins are impartially included in the dynamic networks.
An algorithm is designed to assess the propagation power in a dynamic network with no need to redetect the community under the dynamic network which may significantly improve the efficiency of assessment in a large-scale dynamic network.
In our future research, we will investigate the dynamic networks in a host-pathogen interaction on an animal model organism.
We will focus more on a system level study of the dynamic networks in the future research.
In the traditional dynamic network construction methods, the instant interactions between proteins are determined using either coexpression correlation or gene expression level shift.
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