CS 559 : Algorithmic Aspects of Computer Networks Fall 2007 Lecture
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چکیده
Recalling the PageRank markovian approach, the idea is to find an equilibrium vector P of probabilities of a random walker being in vertex V after k steps when k → ∞. The process of finding the vector P ends when P does not change more than a given δ. So If we consider all the bow tie, we might have to wait for a bigger amount of steps to find the final P, or we can have no equilibrium point at all [1].
منابع مشابه
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تاریخ انتشار 2007