...
Our initial results depict better (less variability in alpha, and the density of landmarks (i.e. landmarks/sq kmnumber of landmarks with the designated radius of each other), and correlation between RTT and distance) intra regional connectivity in Europe than in North America. Both North America and Europe have many n*Gigabits links connecting one state to another in N.America or one country to another in Europe. We wish to see the state of connectivity of landmarks within a few hundred miles radius around each target landmark since these are the landmarks that are most likely to be used in the eventual algorithm.
...
There are two series in each graph, white balls represent the Correlation coefficient and red balls represent the number of target landmark available within the chosen radius of each landmark (100km 1000km or 25ms). The size of the ball represent the standard deviation of delay associated with each landmark and X-axis represents the ID of the landmark or simply the row number of the spread sheet of raw data. You can find spread sheets of 1000KM_Radius and 25MS_Radius correlation_coefficient_1000km_radius.xlsx and Correlation_Coefficient_25MS_Radius.xlsx(25MS file has the column names). The left-hand (Y-axis) is the Correlation coefficient value and right-hand Y-axis is the number of landmarks within the radius. As you can clearly see the trend of number of adjacent landmarks and correlation coefficient are both high for the whole of Europe but they are more dispersed thoughout North America. These results contradict the perception of very good connectivity inside North America. Thus, we decided to do further testing of this finding.
...