In this research, a number of popular network
measurement algorithms have been applied to several brain
networks (based on applicability of algorithms) for finding out
statistical correlation among these popular network
measurements which will help scientists to understand these
popular network measurement algorithms and their
applicability to brain networks. By analyzing the results of
correlations among these network measurement algorithms,
statistical comparison among selected brain networks has also
been summarized. Besides that, to understand each brain
network, the visualization of each brain network and each
brain network’s degree distribution histogram have been
extrapolated. Six network measurement algorithms have been
chosen to apply time to time on sixteen brain networks based
on applicability of these network measurement algorithms and
the results of these network measurements are put into a
correlation method to show the relationship among these six
network measurement algorithms for each brain network. At
the end, the results of the correlations have been summarized
to show the statistical comparison among these sixteen brain
networks.