Research Article
An Efficient Critical Incident Propagation Model for Social Networks Based on Trust Factor
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@INPROCEEDINGS{10.1007/978-3-030-00916-8_39, author={XiaoMing Li and Limengzi Yuan and ChaoChao Liu and Wei Yu and Xue Chen and Guangquan Xu}, title={An Efficient Critical Incident Propagation Model for Social Networks Based on Trust Factor}, proceedings={Collaborative Computing: Networking, Applications and Worksharing. 13th International Conference, CollaborateCom 2017, Edinburgh, UK, December 11--13, 2017, Proceedings}, proceedings_a={COLLABORATECOM}, year={2018}, month={10}, keywords={Trust factor Cps Social networks Incident propagation}, doi={10.1007/978-3-030-00916-8_39} }- XiaoMing Li
Limengzi Yuan
ChaoChao Liu
Wei Yu
Xue Chen
Guangquan Xu
Year: 2018
An Efficient Critical Incident Propagation Model for Social Networks Based on Trust Factor
COLLABORATECOM
Springer
DOI: 10.1007/978-3-030-00916-8_39
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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