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Cognitive Network Structure: An Experimental Study

Author

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  • ANDREA GUAZZINI

    (Department of Psychology, Università Degli Studi di Firenze, Italy;
    Istituto di Informatica e Telematica (IIT), Consiglio Nazionale Delle Ricerche (CNR), Via di San Salvi 12, 50135, Firenze, Italy)

  • DANIELE VILONE

    (Institut de Física Interdisciplinària i Sistemes Complexos, Campus Universitat de les Illes Balears, E-07122 Palma de Mallorca, Spain)

  • FRANCO BAGNOLI

    (Dipartimento Energetica and CSDC, Università Degli Studi di Firenze, via S. Marta 3, I-50139 Firenze, Italy;
    INFN sez. Firenze, Italy)

  • TIMOTEO CARLETTI

    (Namur Center for Complex Systems, Facultés Universitaires Notre-Dame de la Paix, 8 Rempart de la Vierge, B5000 Namur, Belgium)

  • ROSAPIA LAURO GROTTO

    (Department of Psychology, Università Degli Studi di Firenze, Via di San Salvi 12, 50135, Firenze, Italy)

Abstract

In this paper, first we present the experimental results about a small group of people exchanging private and public messages in a virtual community. Our goal is to study the cognitive network that emerges during a chat seance. We used the Derrida coefficient and the triangle structure under the working assumption that moods and perceived mutual affinity can produce results complementary to a full semantic analysis. The most outstanding outcome is the difference between the network obtained considering publicly exchanged messages and the one considering only privately exchanged messages: In the former case, the network is very homogeneous, in the sense that each individual interacts in the same way with all the participants, whilst in the latter the interactions among different agents are very heterogeneous, and are based on "the enemy of my enemy is my friend" strategy. Finally, a recent characterization of the triangular cliques has been considered in order to describe the intimate structure of the network. Experimental results confirm recent theoretical studies indicating that certain three-vertex structures can be used as indicators for the network aging and some relevant dynamical features.

Suggested Citation

  • Andrea Guazzini & Daniele Vilone & Franco Bagnoli & Timoteo Carletti & Rosapia Lauro Grotto, 2012. "Cognitive Network Structure: An Experimental Study," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 15(06), pages 1-15.
    • Handle: RePEc:wsi:acsxxx:v:15:y:2012:i:06:n:s0219525912500841
    DOI: 10.1142/S0219525912500841
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    References listed on IDEAS

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    1. van Damme, E.E.C., 2004. "Vrijheid om te groeien," Other publications TiSEM d56a8a27-420c-4964-bb94-3, Tilburg University, School of Economics and Management.
    2. Unknown, 2004. "Jim McDonald," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, pages 1-1, November.
    3. van Damme, E.E.C., 2004. "Dief van je eigen portemonnee," Other publications TiSEM f6d289eb-f4b4-41d3-85f4-d, Tilburg University, School of Economics and Management.
    4. anonymous, 2004. "Job picture bright for some District states," Western economic developments, Federal Reserve Bank of San Francisco, issue Mar, pages 1-3.
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    Cited by:

    1. María Pereda & Daniele Vilone, 2017. "Social Pressure and Environmental Effects on Networks: A Path to Cooperation," Games, MDPI, vol. 8(1), pages 1-13, January.
    2. Andrea Guazzini & Elisa Guidi & Cristina Cecchini & Eiko Yoneki, 2020. "Collaborative Facilitation and Collaborative Inhibition in Virtual Environments," Future Internet, MDPI, vol. 12(7), pages 1-20, July.

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