COGNITIVE NETWORK STRUCTURE: AN EXPERIMENTAL STUDY

Andrea Guazzini (), Daniele Vilone (), Franco Bagnoli (), Timoteo Carletti () and Rosapia Lauro Grotto ()
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Andrea Guazzini: Department of Psychology, Università Degli Studi di 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;
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

Advances in Complex Systems (ACS), 2012, vol. 15, issue 06, 1-15

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.

Keywords: Social systems; experimental sociophysics; cognitive dynamical structures (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (2)

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DOI: 10.1142/S0219525912500841

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