DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2011 · 124 citations · 27 references
Social SciencesComputer ScienceMathematicsAlgorithmsProbability TheorySocial InfluenceGraph TheoryInformation SpreadRumor DiffusionRumor SpreadRumor TransmissionInformation SpreadingLower BoundsRumor DynamicsRumor NetworksRumor Spread DynamicsRumor Spread ModelingRumor Spreading MechanismsSpreading
We have content for each. Let's parse: Lines: 1. [Purpose, Background] sentence: "We study the connection between the rate at which a rumor spreads throughout a graph and the conductance of the graph—a standard measure of a graph’s expansion properties." So Background: connection between rumor spread rate and conductance. Purpose: study that connection. 2.
We study the connection between the rate at which a rumor spreads throughout a graph and the conductance of the graph—a standard measure of a graph’s expansion properties. We show that for any n-node graph with conductance , the classical PUSH-PULL algorithm distributes a rumor to all nodes of the graph in O( 1 logn) rounds with high probability (w.h.p.). This bound improves a recent result of Chierichetti, Lattanzi, and Panconesi [6], and it is tight in the sense that there exist graphs where ( 1 logn) rounds of the PUSH-PULL algorithm are required to distribute a rumor w.h.p. We also explore the PUSH and the PULL algorithms, and derive conditions that are both necessary and sucient for the above upper bound to hold for those algorithms as well. An
27
Epidemic algorithms for replicated database maintenance
Alan Demers, Dan Greene, Carl Hauser et al. · 1987 · 1.7K citations · Full text
Statistical properties of community structure in large social and information networks
Jure Leskovec, Kevin Lang, Anirban Dasgupta et al. · 2008 · 890 citations
Gossip algorithms: design, analysis and applications
Stephen Boyd, Aritra Ghosh, B. Prabbakar et al. · 2005 · 571 citations
Boris Pittel · SIAM Journal on Applied Mathematics · 1987 · 388 citations