Advertising network formation based on Stochastic Diffusion Search and market equilibria

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationSIGDOC 2010 - Proceedings of the 28th ACM International Conference on Design of Communication
Pages81-87
Number of pages7
DOIs
Publication statusPublished - 1 Dec 2010
Externally publishedYes
Event28th ACM International Conference on Design of Communication, SIGDOC 2010 - Sao Carlos, Brazil
Duration: 27 Sept 201029 Sept 2010

Publication series

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

Conference

Conference28th ACM International Conference on Design of Communication, SIGDOC 2010
Country/TerritoryBrazil
CitySao Carlos
Period27/09/1029/09/10

Keywords

  • Market mechanisms
  • Online advertising
  • Swarm intelligent

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