Published January 23, 2013
| Version v1
Journal article
Vertex pursuit in random directed acyclic graphs
- Creators
- Bonato, Anthony
- Mitsche, Dieter
- Pralat, Pawel
- Others:
- Ryerson University [Toronto]
- Laboratoire Jean Alexandre Dieudonné (LJAD) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)
- Department of Mathematics ; Ryerson University [Toronto]
Description
We examine a dynamic model for the disruption of information flow in hierarchical social networks by considering the vertex-pursuit game Seepage played in directed acyclic graphs (DAGs). In Seepage, agents attempt to block the movement of an intruder who moves downward from the source node to a sink. The minimum number of such agents required to block the intruder is called the green number. We propose a generalized stochastic model for DAGs with given expected total degree sequence. Seepage and the green number is analyzed in stochastic DAGs in both the cases of a regular and power law degree sequence. For each such sequence, we give asymptotic bounds (and in certain instances, precise values) for the green number.
Abstract
International audience
Additional details
- URL
- https://hal.science/hal-00923080
- URN
- urn:oai:HAL:hal-00923080v1
- Origin repository
- UNICA