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On irreversible spread of influence in edge-weighted graphs

Manouchehr Zaker

TL;DR

A graph theoretical analysis for spread of weighted influence is presented and some extremal bounds and algorithmic results for activation process and dynamic monopolies in directed and undirected graphs with weighted edges are obtained.

Abstract

Various kinds of spread of influence occur in real world social and virtual networks. These phenomena are formulated by activation processes and irreversible dynamic monopolies in combinatorial graphs representing the topology of the networks. In most cases the nature of influence is weighted and the spread of influence depends on the weight of edges. The ordinary formulation and results for dynamic monopolies do not work for such models. In this paper we present a graph theoretical analysis for spread of weighted influence and mention a real world example realizing the activation model with weighted influence. Then we obtain some extremal bounds and algorithmic results for activation process and dynamic monopolies in directed and undirected graphs with weighted edges.

On irreversible spread of influence in edge-weighted graphs

TL;DR

A graph theoretical analysis for spread of weighted influence is presented and some extremal bounds and algorithmic results for activation process and dynamic monopolies in directed and undirected graphs with weighted edges are obtained.

Abstract

Various kinds of spread of influence occur in real world social and virtual networks. These phenomena are formulated by activation processes and irreversible dynamic monopolies in combinatorial graphs representing the topology of the networks. In most cases the nature of influence is weighted and the spread of influence depends on the weight of edges. The ordinary formulation and results for dynamic monopolies do not work for such models. In this paper we present a graph theoretical analysis for spread of weighted influence and mention a real world example realizing the activation model with weighted influence. Then we obtain some extremal bounds and algorithmic results for activation process and dynamic monopolies in directed and undirected graphs with weighted edges.

Paper Structure

This paper contains 5 sections, 15 equations.