Skip to main content

2015 | OriginalPaper | Buchkapitel

Opinion Formation Dynamics Under the Combined Influences of Majority and Experts

verfasst von : Rajkumar Das, Joarder Kamruzzaman, Gour Karmakar

Erschienen in: Neural Information Processing

Verlag: Springer International Publishing

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Opinion formation modelling is still poorly understood due to the hardness and complexity of the abstraction of human behaviours under the presence of various types of social influences. Two such influences that shape the opinion formation process are: (i) the expert effect originated from the presence of experts in a social group and (ii) the majority effect caused by the presence of a large group of people sharing similar opinions. In real life when these two effects contradict each other, they force public opinions towards their respective directions. Existing models employed the concept of confidence levels associated with the opinions to model the expert effect. However, they ignored the majority effect explicitly, and thereby failed to capture the combined impact of these two influences on opinion evolution. Our model explicitly introduces the majority effect through the use of a concept called opinion consistency, and captures the opinion dynamics under the combined influence of majority supported opinions as well as experts’ opinions. Simulation results show that our model properly captures the consensus, polarization and fragmentation properties of public opinion and reveals the impact of the aforementioned effects.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Das, A., Gollapudi, S., Munagala, K.: Modeling opinion dynamics in social networks. In: Proceedings of WSDM (2014) Das, A., Gollapudi, S., Munagala, K.: Modeling opinion dynamics in social networks. In: Proceedings of WSDM (2014)
2.
Zurück zum Zitat Xia, H., et al.: Opinion dynamics: a multidisciplinary review and perspective on future research. Intl. J. Knowl. Syst. Sci. 2(4), 72–91 (2011)CrossRef Xia, H., et al.: Opinion dynamics: a multidisciplinary review and perspective on future research. Intl. J. Knowl. Syst. Sci. 2(4), 72–91 (2011)CrossRef
3.
5.
Zurück zum Zitat Hegselmann, R., Krause, U.: Opinion dynamics and bounded confidence: models, analysis and simulation. J. Artif. Soc. Soc. Sim. 5(3), 1–24 (2002) Hegselmann, R., Krause, U.: Opinion dynamics and bounded confidence: models, analysis and simulation. J. Artif. Soc. Soc. Sim. 5(3), 1–24 (2002)
6.
Zurück zum Zitat Deffuant, G., Neau, N., Amblard, F., Weisbuch, G.: Mixing beliefs among interacting agents. Adv. Complex Syst. 3(1), 87–98 (2000)CrossRef Deffuant, G., Neau, N., Amblard, F., Weisbuch, G.: Mixing beliefs among interacting agents. Adv. Complex Syst. 3(1), 87–98 (2000)CrossRef
7.
Zurück zum Zitat Pineda, M., Toral, R., Hernandez-Garcia, E.: The noisy Hegselmann-Krause model for opinion dynamics. Eur. Phys. J. B 12(86), 1–12 (2013)MathSciNet Pineda, M., Toral, R., Hernandez-Garcia, E.: The noisy Hegselmann-Krause model for opinion dynamics. Eur. Phys. J. B 12(86), 1–12 (2013)MathSciNet
8.
Zurück zum Zitat Moussaid, M., Kaemmer, J.E., Analytis, P.P., Neth, H.: Social influence and the collective dynamics of opinion formation. PLoS ONE 8(11), e78433 (2013)CrossRef Moussaid, M., Kaemmer, J.E., Analytis, P.P., Neth, H.: Social influence and the collective dynamics of opinion formation. PLoS ONE 8(11), e78433 (2013)CrossRef
9.
Zurück zum Zitat Cho, J.-H., Swami, A.: Dynamics of uncertain opinions in social networks. In: IEEE Military Communications Conference (2014) Cho, J.-H., Swami, A.: Dynamics of uncertain opinions in social networks. In: IEEE Military Communications Conference (2014)
10.
Zurück zum Zitat Asch, S.E.: Opinions and social pressure. Sci. Am. 193(5), 31–35 (1955)CrossRef Asch, S.E.: Opinions and social pressure. Sci. Am. 193(5), 31–35 (1955)CrossRef
11.
Zurück zum Zitat Hassan, R., Karmakar, G., Kamruzzaman, J.: Reputation and user requirement based price modelling for dynamic spectrum access. IEEE Trans. Mob. Comput. 13(9), 2128–2140 (2014)CrossRef Hassan, R., Karmakar, G., Kamruzzaman, J.: Reputation and user requirement based price modelling for dynamic spectrum access. IEEE Trans. Mob. Comput. 13(9), 2128–2140 (2014)CrossRef
Metadaten
Titel
Opinion Formation Dynamics Under the Combined Influences of Majority and Experts
verfasst von
Rajkumar Das
Joarder Kamruzzaman
Gour Karmakar
Copyright-Jahr
2015
DOI
https://doi.org/10.1007/978-3-319-26555-1_76