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The
following cases are tractable by extended analysis:
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Several random walks in parallel
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product formula for the probability that
independent trials miss a node
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Random walk without step back (except for nodes of degree 1)
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increased state space for analysis: network
edges instead of nodes,
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but the run time complexity is
unchanged
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Random walk followed by flooding on
distance d after the last step
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extend absorbing state to the set of all
neighbors up to distance d
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Random walk search for replicated data on
n nodes
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use a set of n absorbing states or
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assume a binomial distributed hit
count based on single node search
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