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Vertex-Pursuit in Random Directed Acyclic Graphs
Author(s) -
Anthony Bonato,
Dieter Mitsche,
Paweł Prałat
Publication year - 2013
Publication title -
siam journal on discrete mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.843
H-Index - 66
eISSN - 1095-7146
pISSN - 0895-4801
DOI - 10.1137/120866932
Subject(s) - mathematics , directed acyclic graph , combinatorics , vertex (graph theory) , stochastic block model , sequence (biology) , directed graph , discrete mathematics , block (permutation group theory) , graph , statistics , cluster analysis , biology , genetics
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 are 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.

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