Again we have a simple social network of five blogs labeled A,B,C,D,E. Probabilities have been arbitrarily assigned to each edge. The goal again is to model when blogs A and D will repost. Blue means a node has not yet posted, green means they have posted on topic, and red means that the blog has reposted.
First blog B posts on topic. There is now a 1/3 random chance that blog A will repost and a 1/4 chance that blog D will repost.
Blog D randomly reposts.
Next blog C posts on topic and there is a 1/4 random chance that blog A will repost.
Blog A does not repost. Blog E posts instead.
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