Small worlds: the dynamics of networks between order and randomness
Small worlds: the dynamics of networks between order and randomness
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
On the efficiency of multicast
IEEE/ACM Transactions on Networking (TON)
On the covariance of the level sizes in random recursive trees
Random Structures & Algorithms
PATHS IN THE SIMPLE RANDOM GRAPH AND THE WAXMAN GRAPH
Probability in the Engineering and Informational Sciences
Performance analysis of the AntNet algorithm
Computer Networks: The International Journal of Computer and Telecommunications Networking
The weight of the shortest path tree
Random Structures & Algorithms
Weight of the shortest path to the first encountered peer in a peer group of size m
Probability in the Engineering and Informational Sciences
The observable part of a network
IEEE/ACM Transactions on Networking (TON)
Sampling networks by the union of m shortest path trees
Computer Networks: The International Journal of Computer and Telecommunications Networking
The effect of peer selection with hopcount or delay constraint on peer-to-peer networking
NETWORKING'08 Proceedings of the 7th international IFIP-TC6 networking conference on AdHoc and sensor networks, wireless networks, next generation internet
First-passage percolation on a width-2 strip and the path cost in a VCG auction
WINE'06 Proceedings of the Second international conference on Internet and Network Economics
Potential networks, contagious communities, and understanding social network structure
Proceedings of the 22nd international conference on World Wide Web
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We study first-passage percolation on the random graph Gp(N) with exponentially distributed weights on the links. For the special case of the complete graph, this problem can be described in terms of a continuous-time Markov chain and recursive trees. The Markov chain X(t) describes the number of nodes that can be reached from the initial node in time t. The recursive trees, which are uniform trees of N nodes, describe the structure of the cluster once it contains all the nodes of the complete graph. From these results, the distribution of the number of hops (links) of the shortest path between two arbitrary nodes is derived.We generalize this result to an asymptotic result, as N → ∞, for the case of the random graph where each link is present independently with a probability pN as long as NpN/(log N)3 → ∞. The interesting point of this generalization is that (1) the limiting distribution is insensitive to p and (2) the distribution of the number of hops of the shortest path between two arbitrary nodes has a remarkable fit with shortest path data measured in the Internet.