| Abstract |
The way in which people mix in society is not random, it reflects community structure and interpersonal relationships. Social network analysts have defined various properties to measure aspects of this mixing. The seminar describes an algorithm to generate networks with tunable values for three key properties: degree distribution, assortativity and clustering coefficient. Such networks are suitable for simulation studies that investigate the effect of these properties on some dynamic process occurring over the network. An extract of the results of a study on epidemic behaviour will also be presented. |
