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Modelling information dissemination under privacy concerns in social media

Author

Listed:
  • Zhu, Hui
  • Huang, Cheng
  • Lu, Rongxing
  • Li, Hui

Abstract

Social media has recently become an important platform for users to share news, express views, and post messages. However, due to user privacy preservation in social media, many privacy setting tools are employed, which inevitably change the patterns and dynamics of information dissemination. In this study, a general stochastic model using dynamic evolution equations was introduced to illustrate how privacy concerns impact the process of information dissemination. Extensive simulations and analyzes involving the privacy settings of general users, privileged users, and pure observers were conducted on real-world networks, and the results demonstrated that user privacy settings affect information differently. Finally, we also studied the process of information diffusion analytically and numerically with different privacy settings using two classic networks.

Suggested Citation

  • Zhu, Hui & Huang, Cheng & Lu, Rongxing & Li, Hui, 2016. "Modelling information dissemination under privacy concerns in social media," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 449(C), pages 53-63.
    • Handle: RePEc:eee:phsmap:v:449:y:2016:i:c:p:53-63
    DOI: 10.1016/j.physa.2015.12.044
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    3. Zu, Xu & Diao, Xinyi & Meng, Zhiyi, 2019. "The impact of social media input intensity on firm performance: Evidence from Sina Weibo," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
    4. Cui, Yapeng & Ni, Shunjiang & Shen, Shifei & Wang, Zhiru, 2020. "Modeling the dynamics of information dissemination under disaster," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).

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