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DYNAMOD—An Agent Based Modeling Framework: Applications to Online Social Networks

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 280))

Abstract

This paper presents an Agent Based Modeling Framework that seeks to provide a generic model that can be used to simulate any internet based business. The model captures the unique characteristics that define how online users interact, share information, and take product adoption decisions. This model can be used to simulate business performance, make business forecasts, and test business strategies. To demonstrate the applicability of the model, we choose two social networks with opposing scales: Facebook and a startup educational social network—weduc.pt.

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Acknowledgments

The authors also would like to thank Fundação da Ciência e Tecnologia for supporting the research center UNIDEMI through the grant PEst-OE/EME/UI0667/2011. Also, the authors are grateful to ISOFIN and VORTALWAY projects (QREN) for funding Aneesh Zutshi’s research work.

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Correspondence to Aneesh Zutshi .

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Zutshi, A., Grilo, A., Jardim-Gonçalves, R. (2014). DYNAMOD—An Agent Based Modeling Framework: Applications to Online Social Networks. In: Xu, J., Cruz-Machado, V., Lev, B., Nickel, S. (eds) Proceedings of the Eighth International Conference on Management Science and Engineering Management. Advances in Intelligent Systems and Computing, vol 280. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55182-6_31

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  • DOI: https://doi.org/10.1007/978-3-642-55182-6_31

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-55181-9

  • Online ISBN: 978-3-642-55182-6

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