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20072026
most citedDynamical affinity in opinion dynamics modelling

30 citations · 114 across the 22 of their papers we have counts for

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Showing physics.soc-phShow all

13 papers · 1 filter

physics.soc-ph2018★ 9 cited

Humans make best use of social heuristics when confronting hard problems in large groups

Federica Stefanelli, Enrico Imbimbo, Daniele Vilone +3

We report the results of a game-theoretic experiment with human players who solve the problems of increasing complexity by cooperating in groups of increasing size. Our experimenta…

physics.soc-ph2015

Modeling crowdsourcing as collective problem solving

Andrea Guazzini, Daniele Vilone, Camillo Donati +2

Crowdsourcing is a process of accumulating the ideas, thoughts or information from many independent participants, with aim to find the best solution for a given challenge. Modern i…

physics.soc-ph2013

Application of a cognitive-inspired algorithm for detecting communities in mobility networks

Emanuele Massaro, Lorenzo Valerio, Andrea Guazzini +2

The emergence and the global adaptation of mobile devices has influenced human interactions at the individual, community, and social levels leading to the so called Cyber-Physical…

physics.soc-ph2012★ 1 cited

Modeling Risk Perception in Networks with Community Structure

Franco Bagnoli, Daniel Borkmann, Andrea Guazzini +2

We study the influence of global, local and community-level risk perception on the extinction probability of a disease in several models of social networks. In particular, we study…

physics.soc-ph2012★ 1 cited

A cognitive-inspired model for self-organizing networks

Daniel Borkmann, Andrea Guazzini, Emanuele Massaro +1

In this work we propose a computational scheme inspired by the workings of human cognition. We embed some fundamental aspects of the human cognitive system into this scheme in orde…

physics.soc-ph2012

Cognitive network structure: an experimental study

Andrea Guazzini, Daniele Vilone, Franco Bagnoli +2

In this paper we present first experimental results about a small group of people exchanging private and public messages in a virtual community. Our goal is the study of the cognit…

physics.soc-ph2011★ 27 cited

Information dynamics algorithm for detecting communities in networks

E. Massaro, A. Guazzini, F. Bagnoli +1

The problem of community detection is relevant in many scientific disciplines, from social science to statistical physics. Given the impact of community detection in many areas, su…

physics.soc-ph2009★ 1 cited

The emergence of bluff in poker-like games

Andrea Guazzini, Daniele Vilone

We present a couple of adaptive learning models of poker-like games, by means of which we show how bluffing strategies emerge very naturally, and can also be rational and evolutive…

physics.soc-ph2008★ 1 cited

Social Aggregation as a Cooperative Game

Daniele Vilone, Andrea Guazzini

A new approach for the description of phenomena of social aggregation is suggested. On the basis of psychological concepts (as for instance social norms and cultural coordinates),…

physics.soc-ph2008★ 1 cited

Meet, Discuss and Trust each other: large versus small groups

Timoteo Carletti, Duccio Fanelli, Alessio Guarino +1

In this paper we propose a dynamical interpretation of the sociological distinction between large and small groups of interacting individuals. In the former case individual behavio…

physics.soc-ph2008★ 22 cited

Birth and Death in a Continuous Opinion Dynamics Model. The consensus case

Timoteo Carletti, Duccio Fanelli, Alessio Guarino +2

We here discuss the process of opinion formation in an open community where agents are made to interact and consequently update their beliefs. New actors (birth) are assumed to rep…

physics.soc-ph2007★ 2 cited

Opinion Dynamics in an Open Community

Timoteo Carletti, Duccio Fanelli, Alessio Guarino +2

We here discuss the process of opinion formation in an open community where agents are made to interact and consequently update their beliefs. New actors (birth) are assumed to rep…

physics.soc-ph2007★ 30 cited

Dynamical affinity in opinion dynamics modelling

Franco Bagnoli, Timoteo Carletti, Duccio Fanelli +2

We here propose a model to simulate the process of opinion formation, which accounts for the mutual affinity between interacting agents. Opinion and affinity evolve self-consistent…