International Journal of Science Management and Engineering Research (IJSMER)

An Inspiration for Innovative Ideas

International Indexed Journal | Peer-Reviewed Journal| Multi-Disciplinary|
Refereed Research Journal | Open Access Journal | As per UGC Care Guidelines | As per Scopus Guidelines | As per UGC Care, AICTE, SCI, COPE, WoS, Scopus Journal Guidelines | ISSN Approved -2455-6203 |

E-ISSN : 2455-6203

Impact Factor:RPRI 2024:5.2, SJIF 2023:6.108,2022:IPI Value(2.90),

Index Copernicus Value2022:49.02

Google Scholar: h5-Index:29 & i10-index:106

Home AboutUs Editorial Board Indexing Current Issue Archives Author Faqs

Welcome to International Journal of Science Management and Engineering Research (IJSMER)

A Social Psychology ApproacAgent-Based Modelling of Opinion Development in Social Networks: hA Social Psychology Approach

Volume 9 | Issue 2 | July 2024

     Your Paper Publication Details:

     Title: Agent-Based Modelling of Opinion Development in Social Networks: A Social Psychology Approach

     DOI (Digital Object Identifier) :

     Pubished in Volume: 9  | Issue: 2  | Year: July 2024

     Publisher Name : IJSMER-Rems Publishing House | www.ejournal.rems.co.in | ISSN : 2455-6203

     Subject Area: CSE, Engineering & Technology

     Author type: Indian Author

     Pubished in Volume: 9

     Issue: 2

     Pages: 20-25

     Year: July 2024

     E-ISSN Number: 2455-6203

     Download: 6

    Click Here to Download your Paper in PDF

     Abstract

    The majority of earlier opinion modelling studies did not concurrently examine group dynamics and individual mental processes. The goal of this study is to present an agent-based onlineopinion formation model from the perspectives of sociology and psychology, drawing on group behaviour theory, attitude change theory, and evolutionary game theory. According to this paradigm, the group atmosphere, recipient characteristics, and leaders' trustworthiness all have an impact on the persuasive process. The suggested model is used to examine how opinion leaders, topic type, and parameter changes affect the creation of opinions on Twitter. The results of the experiment demonstrate that there is more sustainability and unpredictability in the opinion evolution of contentious topics. Opinion formation is greatly influenced by the benefit to cost ratio; the most unified global attitudes or the longest relaxing period will arise from a moderate ratio. In addition, popular opinion might be influenced by celebrities who have a huge following rather than by specialists. The research on opinion formation modelling is enhanced by this work, and the findings offer company managers useful information on public relations and market forecasting.

     Keywords

    Opinion modelling, social psychology, attitude change, game theory,social network

     Authors and Affiliations

    Maneesha Paliwal
    Research Scholar,Department of Computer Science, School of Engineering, Eklavya University Damoh, Madhya Pradesh,India
    Dr. Anil Pimpalapure
    Professor & Dean, Department of Computer Science, School of Engineering,Eklavya University Damoh, Madhya Pradesh,India
    Dr. Prashant Sen
    Assistant Professor & HOD, Department of Computer Science, School of Engineering,Eklavya University Damoh, Madhya Pradesh,India

     References

  1. C. Chiu, N. H. Chiu, R. J. Sung, P. Y. Hsieh, Opinion mining of hotel customer-generated contents in , Current Issues inTourism18 (5) (2015) 477- 495.
  2. F.Li,T. Du, Who is talking? Anontology-based opinion leader identification framework forword-of-mouth marketing in online social blogs, Decision Support Systems 51 (1)(2011)190-197.
  3. K. Lichtenegger, T. Hadzibeganovic, The interplay of social interaction and random events in the dynamics of opinion flow in two-party democracies, International Journal of Modern Physics C 27 (5) (2016) 1650065.
  4. N. Anstead, B. O’Loughlin, Social media analysis and public opinion: The 2010 UK general election, Journal of Computer-Mediated Communication 20(2) (2015) 204-220.
  5. M. Warr, Poll trends: Public opinion on crime and punishment, The Public Opinion Quarterly 59 (2) (1995)296-310.
  6. S. Hong, S. H. Kim, Political polarization on twitter: Implications for the use of social media in digital governments, Government Information Quarterly 33 (4)(2016)777-782.
  7. M. Li, X. Wang, K. Gao, S. Zhang, A Survey on Information Diffusion in Online Social Networks: Models and Methods, Information 8 (4) (2017) 118.
  8. C. Castellano, S.Fortunato,V.Loreto, Statistical physics of social dynamics, Reviews of modern physics 81(2)(2009)591.
  9. G.Weisbuch,Econophysics and Sociophysics: Trends and Perspectives,Wiley Press, Hoboken, NJ,2006.[Online].Available: https://onlinelibrary.wiley.com/doi/10.1002/9783527610006.ch12.
  10. F.Ding,Y.Liu,B.Shen,X.Si, An evolutionary game theory model of binary opinion formation, Physica A: Statistical Mechanics and its Applications 389 (8)(2010)1745-1752.
  11. J.R.P.French, A formal theory of social power, Psychological review63 (3) (1956)181.
  12. G.Deffuant,F.Amblard,G.Weisbuch,etal.,Howcan extremism prevail? A study based on the relative agreement interaction model, Journal of artificial societies and social simulation 5(4)(2002)1-26.
  13. R.Hegselmann, U.Krause,Opinion dynamics and bounded confidence models, analysis, and simulation, Journal of artificial societies and social simulation 5 (3)(2002)2.
  14. K.Sznajd-Weron,J.Sznajd,Opinion evolution in closed community, International Journal of Modern Physics C 11 (6)(2000)1157-1165.
  15. K. Sznajd-Weron,Sznajdmodel and its applications,ActaPhysicaPolonica36 (8)(2005)2537-2547.
  16. P.L.Krapivsky,S.Redner,Dynamics of majority rule in two- state interacting sp in systems,Physical Review Letters 90 (23)(2003)238701.
  17. S.Galam,Sociophysics: A reviewof Galammodels,International Journal of Modern Physics C19(3)(2008)409-440.
  18. K.S.Larsen,ConformityintheAschexperiment,TheJournalofSocialPsychology94(2)(1974)303-304.
  19. R.Reed,K.Lewin,FieldTheoryinSocialScience,AmericanCatholicSociologicalReview12(2)(1951)103.
  20. J.B.Watson,Psychologyasthebehavioristviewsit,Psychologicalreview20(2)(1913)158.
  21. B.F.Skinner,Twotypesofconditionedreflexandapseudotype,TheJournalofGeneralPsychology12(1)(1935)66-77.
  22. I. L. Janis, C. I. Hovland, An overview of persuasibility research, Personality and persuasibility (1959)1-26.
  23. M. J. Rosenberg, C. I. Hovland, Attitude organization and change: An analysis of consistency amongattitudecomponents,Yalesstudiesin attitudeand communication 3(1960).
  24. M. Perc, J. Gómez-Gardeñes,A. Szolnoki, L. M. Floraí,Y. Moreno, Evolutionarydynamics of group interactions on structured populations: a review, Journal of the royal society interface 10 (80) (2013)20120997.
  25. H. Yang, A consensus opinion model based on the evolutionary game, EPL (Europhysics Letters) 115 (4)(2016)40007.
  26. Y. Li, H. Cao, G. wen, Simulation study on opinion formation models of heterogeneous agents based ongametheoryand complex networks,Simulation 93 (11)(2017)899-919.
  27. J. Ghaderi, R. Srikant, Opinion dynamics in social networks: A local interaction game with stubbornagents, inProc.Amer.ControlConf.(ACC),Washington,DC,June17-19, 2013, pp.1982-1987.
  28. O. A. Sichani, M. Jalili, Inference of hidden social power through opinion formation in complex networks,IEEETransactionsonNetwork Science andEngineering4(3)(2017)154-164.
  29. M. Jalili, Social power and opinion formation in complex networks, Physica A: Statistical mechanics anditsapplications392 (4)(2013)959-966.
  30. I. Hasani-Mavriqi, D. Kowald, D. Helic, et al., Consensus dynamics in online collaboration systems,Computationalsocialnetworks 5 (1)(2018)2.

      License

    Creative Commons Attribution 4.0 and The Open Definition

    Article Preview

Indexed by