Department of Computer Science | Institute of Theoretical Computer Science | CADMO

Prof. Emo Welzl and Prof. Bernd Gärtner

Mittagsseminar Talk Information |

**Date and Time**: Thursday, March 19, 2009, 12:15 pm

**Duration**: This information is not available in the database

**Location**: OAT S15/S16/S17

**Speaker**: Anna Huber (Max-Planck-Institut für Informatik, Saarbrücken)

Randomized rumor spreading is a protocol for disseminating information
in a network. Initially, one vertex of a finite, undirected connected
graph has some piece of information (''rumor''). In each round, every vertex
that knows the rumor tells it to a neighbor chosen uniformly at random.
Results of Frieze and Grimmett show that in a complete graph on n vertices,
this protocol spreads the rumor from one node to all others within
(1 + o(1))(log_{2}(n) + ln(n)) rounds with probability 1-o(1). This was improved
to log_{2}(n) + ln(n) + h(n) for every h \in ω(1) by Pittel.

Doerr, Friedrich and Sauerwald proposed a quasirandom analogue of this model. Here, each vertex has a cyclic permutation of its neighbors. When first passing the rumor, it chooses a neighbor uniformly at random. All subsequent gossiping is done to the successors of this vertex in the cyclic permutation. For complete graphs, hypercubes and a broader range of random graphs it was shown that this protocol also needs O(log n) rounds only to inform all other nodes.

We give a precise analysis of the evolution in the case of a complete
graph on n vertices and show that this protocol also informs all nodes in
(1 + o(1))(log_{2}(n) + ln(n))rounds with probability 1-o(1).

Joint work with Benjamin Doerr and Nikolaos Fountoulakis.

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