I haveConsider a graph G
$G$ of N
nodes$N$ vertices and M
$M$ edges. Graph G
is a real-world graph, which could be connected or disconnected. Still, its largest componentand assume $G$ has small-worldtypical complex network properties: High clustering coefficientit is not necessarily connected, but it has a high clustering coefficient and lowa giant connected component with low average shortest lengthdistance.
Many random subgraphs can be generated from theNow, consider a graph G
$G'$ defined as follows.
I choose randomly (uniformly)the sub-graph of n
nodes$G$ induced by a randomly chosen set of (n < N), where two nodes are connected if they are connected in the original graph$n$ vertices. The totalLet us denote by $m$ its number of edges in one subgraph is denoted by m
.
I have two questions:
- Should I expect the subgraphs to have some properties of the Erdos-Ranyi graphs?
Is $G'$ likely to have the typical properties of an Erdős–Rényi random graph?
- And what is the expected number of edges of the subgraphs (
m
)?What is the expected value of $m$?
Thank you.
Thank you.