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Advertising network formation based on Stochastic Diffusion Search and market equilibria

  • Athens Univ. of Econ. and Business

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Résumé

The concept of social networks in conjunction with concepts from economics has attracted considerable attention in recent years. In this paper we propose the Stochastic Diffusion Market Search (SDMS), a novel contextual advertising method for mutual advertisement hosting among participating entities, where each owns a web site. In the scenario considered each participating agent/web-site buys or sells advertising links. In the proposed method the advertising market and network that formed into the system emerge from agents preferences and their social behavior into the network. SDMS consists of a variation of Stochastic Diffusion Search, a swarm intelligence metaheuristic, and an algorithm for market equilibria. We present an evaluation of the model and the experimental results show that the network potentially converges to a stable stage and the distribution of market prices adheres to power law properties.

langue originaleAnglais
titreSIGDOC 2010 - Proceedings of the 28th ACM International Conference on Design of Communication
Pages81-87
Nombre de pages7
Les DOIs
étatPublié - 1 déc. 2010
Modification externeOui
Evénement28th ACM International Conference on Design of Communication, SIGDOC 2010 - Sao Carlos, Brésil
Durée: 27 sept. 201029 sept. 2010

Série de publications

NomSIGDOC 2010 - Proceedings of the 28th ACM International Conference on Design of Communication

Une conférence

Une conférence28th ACM International Conference on Design of Communication, SIGDOC 2010
Pays/TerritoireBrésil
La villeSao Carlos
période27/09/1029/09/10

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