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| Construction of Super-Network for Emergency Information Cooperation |
| Zhang Xinrui1, Zhang Haitao1,2,3, Luan Yu1, Zhang Chunlong1 |
1.School of Business and Management, Jilin University, Changchun 130012
2.Information Resource Research Center, Jilin University, Changchun 130012
3.Institute of National Development and Security Studies, Jilin University, Changchun 130012 |
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Abstract The world is currently undergoing profound, unprecedented changes. The COVID-19 outbreak severely tested the world, making the era of digital wisdom considerably unpredictable and replete with challenges``. Developing methods for improving the efficiency of emergency management has become a key issue. This study innovatively explored the information cooperation process based on multi-agent collaboration in emergencies from the perspective of a super network and analyzed the internal logic of information cooperation. Further, this study constructed a multi-agent collaborative network based on the collaborative relationship between multiple agents, the co-evolution between text information networks, text by keywords co-occurrence relationships between formation information gene networks, and the mining and defining of distinct longitudinal dynamic mapping relationship between the three types of network. A super-network model was eventually constructed for emergency information cooperation; moreover, a visual analysis and verification were conducted on actual public health emergency cases. This study achieved an in-depth understanding of emergency information, identified the core information gene with collaborative values, mined core agents and texts, and analyzed the dynamic and evolutionary nature of the information collaboration process. Ultimately, the findings of this study promote the construction of a deep and panoramic information collaborative network relationship, provide new research ideas and methods for the subsequent exploration of practical application, enable collaborative decision-making in emergencies under the concept of national security with intelligence wisdom, provide constructive suggestions for social collaborative governance, and make emergency management digital and intelligent.
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Received: 10 August 2022
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