The asymptotic distribution of long cycles in random regular graphs
Random Structures & Algorithms
Local majorities, coalitions and monopolies in graphs: a review
Theoretical Computer Science
Maximizing the spread of influence through a social network
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Sublinear-time approximation algorithms for clustering via random sampling
Random Structures & Algorithms - Proceedings from the 12th International Conference “Random Structures and Algorithms”, August1-5, 2005, Poznan, Poland
Journal of Graph Theory
MFCS'07 Proceedings of the 32nd international conference on Mathematical Foundations of Computer Science
Bounding the sizes of dynamic monopolies and convergent sets for threshold-based cascades
Theoretical Computer Science
Hi-index | 0.00 |
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 p p.