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Computational Social Networks pp 391–415Cite as

Real Emotions for Simulated Social Networks

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Abstract

In this study we analyzed how to consider real emotions in complex networks. The main idea is to understand subjects’ behaviors in specific situations, such as social network sites navigation, to use these information in modeling complex phenomena. We suggest the use of agent-based models, since this is a flexible and powerful tool in complex systems modeling; moreover such models are able to include behavioral cues for heterogeneous agents: this is an important property above all considering the study of networked agents representing subjects and relationships.

To have a precise idea about the subjects’ behavior during social network site navigation, we used wearable biosensors in an experiment with 28 subjects to assess cardiorespiratory aspects (using a belt respiration sensor and a electrocardiogram), and facial cues (using two facial electromyography sensors). Subjects showed an optimal experience during navigation and this information gave us the chance to discuss an example of information diffusion using both a mathematical model and an agent-based model.

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Notes

  1. 1.

    According to John H. Miller and Scott E. Page, this could be a better name to identify agent-based models, furthermore is useful to distinguish bottom-up modeling (e.g., artificial adaptive agents) and bottom-up simulation (e.g., artificial life).

  2. 2.

    http://web.econ.unito.it/terna/jes/

  3. 3.

    http://www.analytictech.com/ucinet/ucinet.htm

  4. 4.

    http://vlado.fmf.uni-lj.si/pub/networks/pajek/

  5. 5.

    http://www.casos.cs.cmu.edu/projects/ora/

  6. 6.

    http://socnetv.sourceforge.net/

  7. 7.

    http://cran.r-project.org/web/packages/statnet/

  8. 8.

    http://en.wikipedia.org/wiki/R_programming_language

  9. 9.

    \( \left\langle k \right\rangle \left( {1 - i(t)} \right) \) is no more an exact expression of the receivable information.

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Author information

Authors and Affiliations

  1. Applied Technology for Neuro-Psychology Lab, IRCCS Istituto Auxologico Italiano, Via Pellizza da Volpedo 41, 20149, Milan, Italy

    Pietro Cipresso

  2. Division of Neurology and Neurorehabilitation, San Giuseppe Hospital, IRCCS Istituto Auxologico Italiano, Piancavallo (VB), Italy

    Luigi Sellitti, Nadia El Assawy & Federica Galli

  3. IULM University, Via Carlo Bo, 8, 20143, Milan, Italy

    Anna Balgera & Marco Villamira

  4. Université Cheikh Anta Diop, Dakar, Republic of Senegal

    Jean Marie Dembele

  5. Psychology Department, Catholic University of Milan, Italy, Largo Gemelli, 1, 20123, Milan, Italy

    Giuseppe Riva

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  1. Pietro Cipresso
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  4. Federica Galli
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  6. Jean Marie Dembele
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Correspondence to Pietro Cipresso .

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Editors and Affiliations

  1. Machine Intelligence Research Labs SNIRE, Auburn, Washington, USA

    Ajith Abraham

  2. Faculty of Computers and Information, Information Technology Department, Cairo University, Ahmed Zewal Street 5, Orman, Giza, 12613, Egypt

    Aboul-Ella Hassanien

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Cipresso, P. et al. (2012). Real Emotions for Simulated Social Networks. In: Abraham, A., Hassanien, AE. (eds) Computational Social Networks. Springer, London. https://doi.org/10.1007/978-1-4471-4048-1_16

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  • DOI: https://doi.org/10.1007/978-1-4471-4048-1_16

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