IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v165y2022ip2s0960077922009808.html
   My bibliography  Save this article

The influence of cross-platform and spread sources on emotional information spreading in the 2E-SIR two-layer network

Author

Listed:
  • Shen, Han
  • Tu, Lilan
  • Guo, Yifei
  • Chen, Juan

Abstract

To explore the influence of cross-platform and spread sources on emotional information spreading, in this paper, a novel two-layer emotion-based susceptible–infected–recovered network (2E-SIR) is proposed and the state equations for emotional information spreading are constructed. Then, to verify the feasibility and effectiveness of the 2E-SIR network and the state equations, taking the negative and positive events on Sina Weibo and TikTok as examples and using two spread sources which are official media (OM) and key opinion leaders (KOL), we have the following conclusions. (1) Users are more willing to spread emotional information similar to the original events’, especially those posted by KOL. (2) The cumulative posting quantities simulated of all the emotional information almost always are consistent with their real data. (3) The outburst rate of positive emotional information, especially posted by OM, is faster than the negative’s. (4) Negative emotional information is more likely to trigger the emotional chaos. Further, parameter sensitivity analysis shows that the cumulative posting quantity on each platform is mainly affected by its own internal parameters. The more initially susceptible people, the more serious the chaos generated by the original information. In addition, increasing the average user circulation probability on the 2E-SIR network will slow down the outbreak rate of emotional information, and enhance the degree of emotion chaos.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:chsofr:v:165:y:2022:i:p2:s0960077922009808
    DOI: 10.1016/j.chaos.2022.112801
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077922009808
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.chaos.2022.112801?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. Xuan Wang & Bofeng Zhang & Furong Chang, 2019. "Hot Topic Community Discovery on Cross Social Networks," Future Internet, MDPI, vol. 11(3), pages 1-16, March.
    2. Liu, Qiming & Li, Tao & Sun, Meici, 2017. "The analysis of an SEIR rumor propagation model on heterogeneous network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 372-380.
    3. Ning, Yi-Zi & Liu, Xin & Cheng, Hui-Min & Zhang, Zhong-Yuan, 2020. "Effects of social network structures and behavioral responses on the spread of infectious diseases," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
    4. Yin, Fulian & Xia, Xinyu & Zhang, Xiaojian & Zhang, Mingjia & Lv, Jiahui & Wu, Jianhong, 2021. "Modelling the dynamic emotional information propagation and guiding the public sentiment in the Chinese Sina-microblog," Applied Mathematics and Computation, Elsevier, vol. 396(C).
    5. 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.
    6. Casaló, Luis V. & Flavián, Carlos & Ibáñez-Sánchez, Sergio, 2020. "Influencers on Instagram: Antecedents and consequences of opinion leadership," Journal of Business Research, Elsevier, vol. 117(C), pages 510-519.
    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. 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).
    2. Hosni, Adil Imad Eddine & Li, Kan & Ahmad, Sadique, 2020. "Analysis of the impact of online social networks addiction on the propagation of rumors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).
    3. Wang, Le & Luo, Xin (Robert) & Li, Han, 2022. "Envy or conformity? An empirical investigation of peer influence on the purchase of non-functional items in mobile free-to-play games," Journal of Business Research, Elsevier, vol. 147(C), pages 308-324.
    4. Eleni Kilipiri & Eugenia Papaioannou & Iordanis Kotzaivazoglou, 2023. "Social Media and Influencer Marketing for Promoting Sustainable Tourism Destinations: The Instagram Case," Sustainability, MDPI, vol. 15(8), pages 1-18, April.
    5. Liang’an Huo & Fan Ding & Chen Liu & Yingying Cheng, 2018. "Dynamical Analysis of Rumor Spreading Model considering Node Activity in Complex Networks," Complexity, Hindawi, vol. 2018, pages 1-10, November.
    6. Rodriguez, Virginie & Sangle-Ferriere, Marion, 2023. "Do supermarkets’ emails have any value for their customers? The effect of emails’ content and interestingness on customers’ attitude and engagement," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    7. Lu, Peng, 2019. "Heterogeneity, judgment, and social trust of agents in rumor spreading," Applied Mathematics and Computation, Elsevier, vol. 350(C), pages 447-461.
    8. Zhu, He & Ma, Jing, 2019. "Analysis of SHIR rumor propagation in random heterogeneous networks with dynamic friendships," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 257-271.
    9. Dong, Suyalatu & Deng, Yanbin & Huang, Yong-Chang, 2019. "Exact analytic solution to nonlinear dynamic system of equations for information propagation in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 319-329.
    10. Jinxian Li & Yanping Hu & Zhen Jin, 2019. "Rumor Spreading of an SIHR Model in Heterogeneous Networks Based on Probability Generating Function," Complexity, Hindawi, vol. 2019, pages 1-15, June.
    11. Barta, Sergio & Belanche, Daniel & Fernández, Ana & Flavián, Marta, 2023. "Influencer marketing on TikTok: The effectiveness of humor and followers’ hedonic experience," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    12. Yeo, Sook Fern & Tan, Cheng Ling & Kumar, Ajay & Tan, Kim Hua & Wong, Jee Kit, 2022. "Investigating the impact of AI-powered technologies on Instagrammers’ purchase decisions in digitalization era–A study of the fashion and apparel industry," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    13. Kieu Anh Tai & Le Minh Duy & Nguyen The Khai, 2021. "The impact of online micro-influencers on behavioural intentions: The case of mobile phone customers in Ho Chi Minh City," HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE - ECONOMICS AND BUSINESS ADMINISTRATION, HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE, HO CHI MINH CITY OPEN UNIVERSITY, vol. 11(2), pages 114-126.
    14. Raza, Ali & Ishaq, Muhammad Ishtiaq & Khan, Ayesha & Ahmad, Rehan & Haj Salem, Narjes, 2023. "How fashion cewebrity influences customer engagement behavior in emerging economy? Social network influence as moderator," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    15. Yanni Ping & Chelsey Hill & Yun Zhu & Jorge Fresneda, 2023. "Antecedents and consequences of the key opinion leader status: an econometric and machine learning approach," Electronic Commerce Research, Springer, vol. 23(3), pages 1459-1484, September.
    16. Chen, Guanghua, 2019. "ILSCR rumor spreading model to discuss the control of rumor spreading in emergency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 522(C), pages 88-97.
    17. Shuzhen Yu & Zhiyong Yu & Haijun Jiang, 2022. "Stability, Hopf Bifurcation and Optimal Control of Multilingual Rumor-Spreading Model with Isolation Mechanism," Mathematics, MDPI, vol. 10(23), pages 1-29, December.
    18. Yanlan Mei & Yan Tu & Kefan Xie & Yicheng Ye & Wenjing Shen, 2019. "Internet Public Opinion Risk Grading under Emergency Event Based on AHPSort II-DEMATEL," Sustainability, MDPI, vol. 11(16), pages 1-16, August.
    19. Lin, Wei & Li, Min & Zhou, Shuming & Liu, Jiafei & Chen, Gaolin & Zhou, Qianru, 2021. "Phase transition in spectral clustering based on resistance matrix," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    20. Wang, Nan & Xie, Wenxuan & Tiberius, Victor & Qiu, Yong, 2023. "Accelerating new product diffusion: How lead users serve as opinion leaders in social networks," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).

    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:chsofr:v:165:y:2022:i:p2:s0960077922009808. 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: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    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.