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Sentiment contagion in complex networks

Author

Listed:
  • Zhao, Laijun
  • Wang, Jiajia
  • Huang, Rongbing
  • Cui, Hongxin
  • Qiu, Xiaoyan
  • Wang, Xiaoli

Abstract

Sentiment contagion such as the spread of panic in emergencies is a common phenomenon in human society. Considering the difference between sentiment contagion and epidemic contagion, we define the transition probabilities of the binary emotional state (optimism, pessimism) and establish a sentiment contagion model. Transition equations are given in a homogeneous network and the stability of the zero solution is discussed. Also the Monte Carlo method is used for numerical simulation in the inhomogeneous networks. Simulation results show that the overall tendency of sentiment variation in the BA scale-free network is similar in the homogeneous network. Furthermore, the assimilation and weight combination exert influences on sentiment contagion.

Suggested Citation

  • Zhao, Laijun & Wang, Jiajia & Huang, Rongbing & Cui, Hongxin & Qiu, Xiaoyan & Wang, Xiaoli, 2014. "Sentiment contagion in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 394(C), pages 17-23.
    • Handle: RePEc:eee:phsmap:v:394:y:2014:i:c:p:17-23
    DOI: 10.1016/j.physa.2013.09.057
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    References listed on IDEAS

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    Cited by:

    1. Gomes, Orlando, 2015. "Sentiment cycles in discrete-time homogeneous networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 224-238.
    2. Nekovee, Maziar & Pinto, Jonathan, 2019. "Modeling the impact of organization structure and whistle-blowers on intra-organizational corruption contagion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 522(C), pages 339-349.
    3. Wasim ul Rehman & Omur Saltik & Faryal Jalil & Suleyman Degirmen, 2024. "Viral decisions: unmasking the impact of COVID-19 info and behavioral quirks on investment choices," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-20, December.

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