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When we computing various network measures from a big graph ( connected ) , we come across a term Beta ( ) . a )

When we computing various network measures from a big graph (connected), we come across a term Beta ().
a) While calculating the network measures, explain why we need this and what is it's effect on the network measure of that graph?
b) Now let assume that, for a fixed Beta (), we have calculated the centrality measures, for all the nodes of the graph, and one node, sa bigger value than other node, say Y. Can we make the situation reverse (for x&Y), with different Beta () value?
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