Abstract
Studying patterns of social behavior among users based on micro blogs, QQ posts, and comments is essential to understanding the information propagation process during critical incidents. A common problem of information propagation models based on epidemic dynamics is that they regard the probability of information being propagated successfully across different nodes as a constant. But in real-world scenarios, infection probability varies depending on the trust relationship between people. In this paper, a novel information propagation model for critical incidents is proposed that takes into account the trust factor based on information propagation theory.
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Acknowledgment
This research is partially supported by the Major Project of National Social Science Fund of China (Grant No. 14ZDB153), the National Science Foundation of China (61572355), and Tianjin Research Program of Application Foundation and Advanced Technology under Grant No. 15JCYBJC15700, and the fundamental research of Xinjiang Corps (Grant No. 2016AC015).
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Li, X., Yuan, L., Liu, C., Yu, W., Chen, X., Xu, G. (2018). An Efficient Critical Incident Propagation Model for Social Networks Based on Trust Factor. In: Romdhani, I., Shu, L., Takahiro, H., Zhou, Z., Gordon, T., Zeng, D. (eds) Collaborative Computing: Networking, Applications and Worksharing. CollaborateCom 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 252. Springer, Cham. https://doi.org/10.1007/978-3-030-00916-8_39
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DOI: https://doi.org/10.1007/978-3-030-00916-8_39
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