The last few months I've been silently working on some 'population based' or 'social' methods. It is a long story, so I will revisit that part some day later. But the question I ask today is

what are the effects of poisoning a network

Or alternatively - how do different network topologies differ in their resistance to cancer cells? Disinformation? Spam? ???

There was and there is still a lot of research ongoing in the Semantic Web community, but it looks like they live in the ideal world, the don't consider either failure or deliberate sabotage. But these effects are known, for example p2p poisoning by the big four, spamming google, poisoning spam-word indexes, etc... Poison pills are one of the most used and useful weapons in the so called cyber-warfare.

I'm struggling to find useful research on the effects of poison. Any help is welcome. Can you post or help with references. I'll compile them and post them back here and on delicious, or wherever you fancy.

update 1

The guys down at freenet project have done some research on p2p network attacks. A few groups are working on collaborative filtering. So here follows the first instalment of (semi-relevant) links

• The Index Poisoning Attack in P2P File Sharing Systems
• Attacking P2P Networks
• Distributed Routing in Small Worlds - Background
• Searching in a Small World
• RecTree: An Efficient Collaborative Filtering Method
• Eigentaste: A Constant Time Collaborative Filtering Algorithm
• Low-Resource Routing Attacks Against Anonymous Systems