Monday, November 06, 2006

Keynote from Sunday

Keynote – Network Analysis

www.orgnet.com

speaker talked to networks, social, internet, intranet as being scale free networks. They grow on a log log basis.
Erdos – Reyi model – Nodes and Links
Degree= how many links

Scale free network
First mover advantage – k(t)~ta
Fitness of the node modifys the first mover advantage, and somewhat removes it.
K(t)~tna
Where n = fitness

Fit –get – rich
Versus
Bose – Einstein condensation model

Robustness & Fragility
Network has a point at which it breaks down; as nodes are removed.
Scale Free -> no issues with removing items, if random items are removed. If a targeted attack made on the hub nodes, then model quickly disintegrates.

Modularity – pallar, ALB, Vicsek
Small communities have a long life, as long as members are stable over time
Large communities have a long life, as long as members change rapidly

Information diffusion in a network – best to hit the most active users, not just random users. Find the hub nodes and start there – quicker diffusion of information.

Looked at document life in a web site, typical number of hits Day 1 28%, Day 2 7%

In general, people do things in bursts. This is a result of their prioritizing things.

www.nd.edu/~networks

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