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A study of the dynamic of influence through differential equations∗

Published online by Cambridge University Press:  15 May 2012

Emmanuel Maruani ,
Michel Grabisch  and
Agnieszka Rusinowska
Emmanuel Maruani
Affiliation:
Royal Bank of Canada, New York, USA. emmanuel.maruani@gmail.com
Michel Grabisch
Affiliation:
Paris School of Economics, Université Paris I Panthé on-Sorbonne 106-112 Bd. de l’Hôpital, 75647 Paris Cedex 13, France; michel.grabisch@univ-paris1.fr
Agnieszka Rusinowska
Affiliation:
Paris School of Economics – CNRS, Centre d’Economie de la Sorbonne, France; agnieszka.rusinowska@univ-paris1.fr
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Abstract

The paper concerns a model of influence in which agents make their decisions on a certain issue. We assume that each agent is inclined to make a particular decision, but due to a possible influence of the others, his final decision may be different from his initial inclination. Since in reality the influence does not necessarily stop after one step, but may iterate, we present a model which allows us to study the dynamic of influence. An innovative and important element of the model with respect to other studies of this influence framework is the introduction of weights reflecting the importance that one agent gives to the others. These importance weights can be positive, negative or equal to zero, which corresponds to the stimulation of the agent by the ‘weighted’ one, the inhibition, or the absence of relation between the two agents in question, respectively. The exhortation obtained by an agent is defined by the weighted sum of the opinions received by all agents, and the updating rule is based on the sign of the exhortation. The use of continuous variables permits the application of differential equations systems to the analysis of the convergence of agents’ decisions in long-time. We study the dynamic of some influence functions introduced originally in the discrete model, e.g., the majority and guru influence functions, but the approach allows the study of new concepts, like e.g. the weighted majority function. In the dynamic framework, we describe necessary and sufficient conditions for an agent to be follower of a coalition, and for a set to be the boss set or the approval set of an agent. equations to the influence model, we recover the results of the discrete model on on the boss and approval sets for the command games equivalent to some influence functions.

Keywords

Social networkinclinationimportance weightdecisioninfluence functiondifferential equations
Type
Research Article
Information
RAIRO - Operations Research , Volume 46 , Issue 1 , January 2012 , pp. 83 - 106
Copyright
© EDP Sciences, ROADEF, SMAI, 2012

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