random binomial model
Table of Contents
network model where:
- each edge can have weight {0,1}
- each the probabitliy of the edge take weight 0 is .5, and so is weight 1.
1. remarks
- expected value of a node’s degree is \(\frac{n-1}{2}\)
Backlinks
complex information network
- network structures
- network types
- network metrics
- network algorithms
- structure
- small worlds
- degree distribution
- power law
- random binomial model
- average shortest path length
- degree distribution
- typical network
- power laws