Otro(a)s Autore(a)s
Rapaport I.
Todinca I.
Verstraete J.
Año
2008

Abstract

We investigate the natural situation of the dissemination of information on various graph classes starting with a random set of informed vertices called active. Initially active vertices are chosen independently with probability p, and at any stage in the process, a vertex becomes active if the majority of its neighbours are active, and thereafter never changes its state. We show that in any cubic graph, with high probability, the information will not spread to all vertices in the graph if . We give families of graphs in which information spreads to all vertices with high probability for relatively small values of p.

Referencia
Rapaport I., Suchan K., Todinca I., Verstraete J. (2008). On dissemination thresholds in regular and irregular graph classes., Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4957 LNCS, 24–35.
Artículo de congreso