Computer Science – Data Structures and Algorithms
Scientific paper
2010-12-24
Computer Science
Data Structures and Algorithms
33 pages, parts of the results appeared in SODA'08 and ICALP'09
Scientific paper
We propose and analyse a quasirandom analogue of the classical push model for disseminating information in networks ("randomized rumor spreading"). In the classical model, in each round each informed vertex chooses a neighbor at random and informs it, if it was not before. It is known that this simple protocol succeeds in spreading a rumor from one vertex to all others within O(log n) rounds on complete graphs, hypercubes, random regular graphs, Erdos-Renyi random graph and Ramanujan graphs with high probability. In the quasirandom model, we assume that each vertex has a (cyclic) list of its neighbors. Once informed, it starts at a random position of the list, but from then on informs its neighbors in the order of the list. Surprisingly, irrespective of the orders of the lists, the above mentioned bounds still hold. In some cases even better bounds than for the classical model can be shown.
Doerr Benjamin
Friedrich Tobias
Sauerwald Thomas
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