Correlation Between Network And Network - 1546 Words

Interaction points of spatial networks are linked to each other by what the writer’s term as channels, and they’re the paths through which material is transported. A definite sequence of linked edges in spatially embedded graph will form a channel. As you look at figure 1a, the roads are your channels, the pipeline network pipes, and tracks in railway networks are different examples of channels. The channels of which the writers have termed have exactly two end points, where the end points of a channel can intersect with other channels or they can remain free. An example of this is: one of the channel l3 end points intersects with the channel l7 at the point of j6. On the other hand, the end point will not intersect with any other channel, it will represents a dead end. This dead end can be considered as an extremity of a network, so they call it boundary of the network. So if you direct your attention to figure 1b you can see that all the points marked by hollow circle s are boundary points for the network. Channels cannot only speciï ¬ ed by geometry of edges, it can also be deï ¬ ned by a names attached to the geometry. Example: highway Interstate 75 cannot be recognized in a network by its geometry alone. In order to identify it, you will have to locate every point in the Euclidean plane which have the name Interstate 75. In their model of spatial networks, they assigned thematic attribute values to every point of a channel. Now the attribute values can be used to recognizeShow MoreRelatedCorrelation Between Network Variables And Market Value1210 Words   |  5 PagesTable 1 reports correlation coefficients among the variables. The correlation between network variables and market value varies and, excluding Closeness, is between 0.23 and 0.32 something well below 0.80, that could be a concern for multicollinearity. 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