Abstract
This paper researches the evolution path method of network public opinion based on the event evolutionary graph. Taking the network public opinion of network hotspot events as an example, collect relevant typical events as research samples, identify the event relationship, build the network public opinion event evolutionary graph and abstract network public opinion event evolutionary graph respectively, and analyze the evolution path of network public opinion event risk from two levels. This study strives to clearly present the evolution path of network public opinion of special network hotspot events, reveal the subject, node, situation, trend and hidden information involved in the relevant events, construct the evolution path of network public opinion based on the rational graph, and reveal the characteristics and practical significance of the network public opinion transmission of hotspot events.
Supported by the National Natural Science Foundation of China under Grant 62106060, the Social Science Foundation of Huaihua under Grant HSP2023YB68, the Philosophy and Social Foundation of Hunan University of Medicine under Grant 2023SK24.
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This work is financially supported by the National Natural Science Foundation of China under Grant 62106060, the Social Science Foundation of Huaihua under Grant HSP2023YB68, the Philosophy and Social Foundation of Hunan University of Medicine under Grant 2023SK24.
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Fu, P., Huang, Z., Liu, M., Zhao, Z., Jiang, W. (2024). Research on the Evolution Path of Network Hotspot Events Based on the Event Evolutionary Graph. In: Tari, Z., Li, K., Wu, H. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2023. Lecture Notes in Computer Science, vol 14492. Springer, Singapore. https://doi.org/10.1007/978-981-97-0811-6_22
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DOI: https://doi.org/10.1007/978-981-97-0811-6_22
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