Opinion dynamics on interacting networks: media competition and social influence View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-05

AUTHORS

Walter Quattrociocchi, Guido Caldarelli, Antonio Scala

ABSTRACT

The inner dynamics of the multiple actors of the informations systems - i.e, T.V., newspapers, blogs, social network platforms, - play a fundamental role on the evolution of the public opinion. Coherently with the recent history of the information system (from few main stream media to the massive diffusion of socio-technical system), in this work we investigate how main stream media signed interaction might shape the opinion space. In particular we focus on how different size (in the number of media) and interaction patterns of the information system may affect collective debates and thus the opinions' distribution. We introduce a sophisticated computational model of opinion dynamics which accounts for the coexistence of media and gossip as separated mechanisms and for their feedback loops. The model accounts also for the effect of the media communication patterns by considering both the simple case where each medium mimics the behavior of the most successful one (to maximize the audience) and the case where there is polarization and thus competition among media memes. We show that plurality and competition within information sources lead to stable configurations where several and distant cultures coexist. More... »

PAGES

4938

References to SciGraph publications

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  • 2012-12. Competition among memes in a world with limited attention in SCIENTIFIC REPORTS
  • 2012-11. Manifesto of computational social science in THE EUROPEAN PHYSICAL JOURNAL SPECIAL TOPICS
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  • 2003-04. The Cavity Method at Zero Temperature in JOURNAL OF STATISTICAL PHYSICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/srep04938

    DOI

    http://dx.doi.org/10.1038/srep04938

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1046837900

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/24861995


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    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/srep04938'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/srep04938'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/srep04938'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/srep04938'


     

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