adjacent possible air traffic complex network complexity complex_networks complex_systems creativity cuskley data_compression dynamical_systems evolutionary_dynamics gravino information_theory innovation_dynamics kreyon language_dynamics language_games local optimization loreto monechi opinion_dynamics phylogeny relevant_literature servedio social_dynamics statistical_physics techno_social_systems tria XTribe zippers
2013 |
Sirbu, Alina; Loreto, Vittorio; Servedio, Vito Domenico Pietro; Tria, Francesca Cohesion, consensus and extreme information in opinion dynamics (Journal Article) ADVANCES IN COMPLEX SYSTEM, 16 , 2013. (Abstract | Links | BibTeX | Tags: loreto, opinion_dynamics, servedio, tria) @article{b, title = {Cohesion, consensus and extreme information in opinion dynamics}, author = {Alina Sirbu and Vittorio Loreto and Vito Domenico Pietro Servedio and Francesca Tria}, url = {http://www.worldscientific.com/doi/abs/10.1142/S0219525913500355}, year = {2013}, date = {2013-01-01}, journal = {ADVANCES IN COMPLEX SYSTEM}, volume = {16}, publisher = {WORLD SCIENTIFIC PUBL CO PTE LTD}, abstract = {Opinion formation is an important element of social dynamics. It has been widely studied in the last years with tools from physics, mathematics and computer science. Here, a continuous model of opinion dynamics for multiple possible choices is analyzed. Its main features are the inclusion of disagreement and possibility of modulating external information/media effects, both from one and multiple sources. The interest is in identifying the effect of the initial cohesion of the population, the interplay between cohesion and media extremism, and the effect of using multiple external sources of information that can influence the system. Final consensus, especially with the external message, depends highly on these factors, as numerical simulations show. When no external input is present, consensus or segregation is determined by the initial cohesion of the population. Interestingly, when only one external source of information is present, consensus can be obtained, in general, only when this is extremely neutral, i.e., there is not a single opinion strongly promoted, or in the special case of a large initial cohesion and low exposure to the external message. On the contrary, when multiple external sources are allowed, consensus can emerge with one of them even when this is not extremely neutral, i.e., it carries a strong message, for a large range of initial conditions.}, keywords = {loreto, opinion_dynamics, servedio, tria}, pubstate = {published}, tppubtype = {article} } Opinion formation is an important element of social dynamics. It has been widely studied in the last years with tools from physics, mathematics and computer science. Here, a continuous model of opinion dynamics for multiple possible choices is analyzed. Its main features are the inclusion of disagreement and possibility of modulating external information/media effects, both from one and multiple sources. The interest is in identifying the effect of the initial cohesion of the population, the interplay between cohesion and media extremism, and the effect of using multiple external sources of information that can influence the system. Final consensus, especially with the external message, depends highly on these factors, as numerical simulations show. When no external input is present, consensus or segregation is determined by the initial cohesion of the population. Interestingly, when only one external source of information is present, consensus can be obtained, in general, only when this is extremely neutral, i.e., there is not a single opinion strongly promoted, or in the special case of a large initial cohesion and low exposure to the external message. On the contrary, when multiple external sources are allowed, consensus can emerge with one of them even when this is not extremely neutral, i.e., it carries a strong message, for a large range of initial conditions. |
Sirbu, Alina; Loreto, Vittorio; Servedio, Vito Domenico Pietro; Tria, Francesca Opinion Dynamics with Disagreement and Modulated Information (Journal Article) JOURNAL OF STATISTICAL PHYSICS, 151 , pp. 218–237, 2013. (Abstract | BibTeX | Tags: loreto, opinion_dynamics, servedio, tria) @article{b, title = {Opinion Dynamics with Disagreement and Modulated Information}, author = {Alina Sirbu and Vittorio Loreto and Vito Domenico Pietro Servedio and Francesca Tria}, year = {2013}, date = {2013-01-01}, journal = {JOURNAL OF STATISTICAL PHYSICS}, volume = {151}, pages = {218--237}, abstract = {Opinion dynamics concerns social processes through which populations or groups of individuals agree or disagree on specific issues. As such, modelling opinion dynamics represents an important research area that has been progressively acquiring relevance in many different domains. Existing approaches have mostly represented opinions through discrete binary or continuous variables by exploring a whole panoply of cases: e.g. independence, noise, external effects, multiple issues. In most of these cases the crucial ingredient is an attractive dynamics through which similar or similar enough agents get closer. Only rarely the possibility of explicit disagreement has been taken into account (i.e., the possibility for a repulsive interaction among individuals' opinions), and mostly for discrete or 1-dimensional opinions, through the introduction of additional model parameters. Here we introduce a new model of opinion formation, which focuses on the interplay between the possibility of explicit disagreement, modulated in a self-consistent way by the existing opinions' overlaps between the interacting individuals, and the effect of external information on the system. Opinions are modelled as a vector of continuous variables related to multiple possible choices for an issue. Information can be modulated to account for promoting multiple possible choices. Numerical results show that extreme information results in segregation and has a limited effect on the population, while milder messages have better success and a cohesion effect. Additionally, the initial condition plays an important role, with the population forming one or multiple clusters based on the initial average similarity between individuals, with a transition point depending on the number of opinion choices.}, keywords = {loreto, opinion_dynamics, servedio, tria}, pubstate = {published}, tppubtype = {article} } Opinion dynamics concerns social processes through which populations or groups of individuals agree or disagree on specific issues. As such, modelling opinion dynamics represents an important research area that has been progressively acquiring relevance in many different domains. Existing approaches have mostly represented opinions through discrete binary or continuous variables by exploring a whole panoply of cases: e.g. independence, noise, external effects, multiple issues. In most of these cases the crucial ingredient is an attractive dynamics through which similar or similar enough agents get closer. Only rarely the possibility of explicit disagreement has been taken into account (i.e., the possibility for a repulsive interaction among individuals' opinions), and mostly for discrete or 1-dimensional opinions, through the introduction of additional model parameters. Here we introduce a new model of opinion formation, which focuses on the interplay between the possibility of explicit disagreement, modulated in a self-consistent way by the existing opinions' overlaps between the interacting individuals, and the effect of external information on the system. Opinions are modelled as a vector of continuous variables related to multiple possible choices for an issue. Information can be modulated to account for promoting multiple possible choices. Numerical results show that extreme information results in segregation and has a limited effect on the population, while milder messages have better success and a cohesion effect. Additionally, the initial condition plays an important role, with the population forming one or multiple clusters based on the initial average similarity between individuals, with a transition point depending on the number of opinion choices. |
2005 |
Castellano, Claudio; Loreto, Vittorio; Barrat, Alain; Cecconi, Federico; Parisi, Domenico Comparison of voter and Glauber ordering dynamics on networks (Journal Article) PHYSICAL REVIEW E, STATISTICAL, NONLINEAR, AND SOFT MATTER PHYSICS, 71 , pp. 066107–066114, 2005. (Links | BibTeX | Tags: loreto, opinion_dynamics, social_dynamics, statistical_physics) @article{b, title = {Comparison of voter and Glauber ordering dynamics on networks}, author = {Claudio Castellano and Vittorio Loreto and Alain Barrat and Federico Cecconi and Domenico Parisi}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-27944464161&partnerID=65&md5=e33dbf7e41cab953b8225aab3fc4c019, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=000230275000023&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=0c7ff228ccbaaa74236f48834a34396a}, year = {2005}, date = {2005-01-01}, journal = {PHYSICAL REVIEW E, STATISTICAL, NONLINEAR, AND SOFT MATTER PHYSICS}, volume = {71}, pages = {066107--066114}, publisher = {AMERICAN PHYSICAL SOC, ONE PHYSICS ELLIPSE, COLLEGE PK, USA, MD, 20740-3844}, keywords = {loreto, opinion_dynamics, social_dynamics, statistical_physics}, pubstate = {published}, tppubtype = {article} } |