IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v522y2019icp182-194.html
   My bibliography  Save this article

Evidence of Ostwald Ripening in opinion driven dynamics of mutually competitive social networks

Author

Listed:
  • Munjal, Puja
  • Kumar, Lalit
  • Kumar, Sandeep
  • Banati, Hema

Abstract

Models based on opinion exchange aim to describe the dynamics of social networks and to uncover the intrinsic mechanisms in mutually competitive social networks (MCSN). However, the limited capability of the existing opinion exchange models for characterizing the real world social networks has triggered the need for more realistic models. In this paper, the natural phenomenon of Ostwald ripening is explored to explain the generally observed process related to growth of bigger social networks at the expense of smaller social networks. A novel model called Ostwald Ripening Social Network (ORSN) is developed, for understanding the opinion driven growth dynamics of real-world MCSN. Ostwald ripening phenomenon has been extensively used to explain the growth of particles at nanoscale. In order to get better insight of the phenomenon, we synthesized Zinc oxide (ZnO) nanoparticles and a thorough investigation is done to understand the growth dynamics under varied condition of temperature. Strong experimentation is done on the extensive dataset collected from actual social network, based on the opinion formation under the influence of factors like propaganda and network ties. The results of the growth dynamics from actually synthesized nanoparticles are found in corroboration with the pattern of growth dynamics of the MCSN. This is a vital attempt to complement the existing approaches, with a conceptual understanding that would help the supervision, prediction and control of dynamic processes in social networks.

Suggested Citation

  • Munjal, Puja & Kumar, Lalit & Kumar, Sandeep & Banati, Hema, 2019. "Evidence of Ostwald Ripening in opinion driven dynamics of mutually competitive social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 522(C), pages 182-194.
    • Handle: RePEc:eee:phsmap:v:522:y:2019:i:c:p:182-194
    DOI: 10.1016/j.physa.2019.01.109
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437119301153
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2019.01.109?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhu, Hengmin & Kong, Yuehan & Wei, Jing & Ma, Jing, 2018. "Effect of users’ opinion evolution on information diffusion in online social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 2034-2045.
    2. Cai, Meng & Wang, Wei & Cui, Ying & Stanley, H. Eugene, 2018. "Multiplex network analysis of employee performance and employee social relationships," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1-12.
    3. David Anzola & Peter Barbrook-Johnson & Juan I. Cano, 2017. "Self-organization and social science," Computational and Mathematical Organization Theory, Springer, vol. 23(2), pages 221-257, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yi, Yinxue & Zhang, Zufan & Gan, Chenquan, 2018. "The effect of social tie on information diffusion in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 783-794.
    2. de Moura, Fernanda Senra & Barbrook-Johnson, Peter, 2022. "Using data-driven systems mapping to contextualise complexity economics insights," INET Oxford Working Papers 2022-27, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    3. Cheng, Yuan & Xue, Yanbo & Chang, Meng, 2020. "Career choice as an extended spatial evolutionary public goods game," Chaos, Solitons & Fractals, Elsevier, vol. 137(C).
    4. Lili Wang & Bin Hu & Yihang Feng & Yanting Duan & Wuyi Zhang, 2022. "Food supply network disruption and mitigation: an integrated perspective of traceability technology and network structure," Computational and Mathematical Organization Theory, Springer, vol. 28(4), pages 352-389, December.
    5. Konda, Bruhan & González‐Sauri, Mario & Cowan, Robin & Yashodha, Yashodha & Chellattan Veettil, Prakashan, 2021. "Social networks and agricultural performance: A multiplex analysis of interactions among Indian rice farmers," MERIT Working Papers 2021-030, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    6. Zhang, Shuang & Wang, Wei & Wu, Tao & Lin, Tao, 2019. "Phase transition of a generalized contact process on complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    7. Liu, Xiang-Chun & Zhu, Xu-Zhen & Tian, Hui & Zhang, Zeng-Ping & Wang, Wei, 2019. "Identifying localized influential spreaders of information spreading," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 519(C), pages 92-97.
    8. Abul Hasanat Md. Fazle Rabbi, 2023. "Enhancing Community Engagement and Outreach: Strategies for Information Dissemination at the Bangladesh National Museum," International Journal of Science and Business, IJSAB International, vol. 29(1), pages 92-103.
    9. Yuan Cheng & Yanbo Xue & Meng Chang, 2019. "Career Choice as an Extended Spatial Evolutionary Public Goods Game," Papers 1907.13296, arXiv.org.
    10. Wang, Jun & Zhou, Bin & Wang, Wei, 2019. "Information spreading on multirelational networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 21-28.
    11. Zou, Yang & Xiong, Zhongyang & Zhang, Pu & Wang, Wei, 2018. "Social contagions on multiplex networks with different reliability," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 728-735.
    12. Shen, Han & Tu, Lilan & Guo, Yifei & Chen, Juan, 2022. "The influence of cross-platform and spread sources on emotional information spreading in the 2E-SIR two-layer network," Chaos, Solitons & Fractals, Elsevier, vol. 165(P2).
    13. Zhu, Shu-Shan & Zhu, Xu-Zhen & Wang, Jian-Qun & Zhang, Zeng-Ping & Wang, Wei, 2019. "Social contagions on multiplex networks with heterogeneous population," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 105-113.
    14. Fu, Minglei & Feng, Jun & Lande, Dmytro & Dmytrenko, Oleh & Manko, Dmytro & Prakapovich, Ryhor, 2021. "Dynamic model with super spreaders and lurker users for preferential information propagation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 561(C).
    15. Diego Mayordomo-Martínez & Juan M. Carrillo-de-Gea & Ginés García-Mateos & José A. García-Berná & José Luis Fernández-Alemán & Saúl Rosero-López & Salvador Parada-Sarabia & Manuel García-Hernández, 2019. "Sustainable Accessibility: A Mobile App for Helping People with Disabilities to Search Accessible Shops," IJERPH, MDPI, vol. 16(4), pages 1-18, February.
    16. Akyol, Sinem & Alatas, Bilal, 2020. "Sentiment classification within online social media using whale optimization algorithm and social impact theory based optimization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    17. Thomas Feliciani & Andreas Flache & Michael Mäs, 2021. "Persuasion without polarization? Modelling persuasive argument communication in teams with strong faultlines," Computational and Mathematical Organization Theory, Springer, vol. 27(1), pages 61-92, March.
    18. Rena Bina & Saralee Glasser & Mira Honovich & Yona Ferber & Samira Alfayumi-Zeadna, 2022. "The Role of Organizational Factors in Nurses’ Perceived Preparedness to Screen, Intervene and Refer in Cases of Suspected Postpartum Depression," IJERPH, MDPI, vol. 19(24), pages 1-12, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:522:y:2019:i:c:p:182-194. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.