Subjects: Library Science，Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] By grasping the relationship between department nodes in the smart government network, we can find the important nodes and the law of data interconnection, which is helpful to solve the core difficult problem of cross-department information collaboration in smart government.[Method/process] From the perspective of citizen-oriented government business process, local neighbor network, a special and complex network, was constituted with the information flow formed by the provision and acceptance of government materials. Taking "Shenzhen government online" as an example, this paper visualized the local nearest neighbor network structure of Shenzhen government affairs, calculates the assortativity coefficient, measures the vulnerability of department nodes, and established the department priority and department cluster.[Result/conclusion] The study found that the local nearest neighbor network of smart government in Shenzhen has homogeneity, which provides more support for information flow compared with the heterogeneity network. In the process of constructing and sharing database, the focus should be on the departments with strong node vulnerability, and give priority to the departments with high correlation so as to stabilize the government network and promote the coordinated development of smart government. The research method of this paper is also suitable for analyzing the structure and characteristics of other urban smart government networks.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/Significance] When public health emergency occurs, public emotion problems become particularly complex. To explore the roles of emotions in public information behaviors under public health emergencies is helpful for relevant departments to understand the changing characteristics of public emotions and their interplay with information behaviors, in order to improve the capacity to respond to such crisis emergencies, and slow down the disease psychological harm of the epidemic to the public. [Method/Process] Through a semi-structured interview with 32 members of the public, the thematic analysis method was used to extract the themes of the interplay between public emotions and information behaviors during the COVID-19 pandemic, and the roles of emotions in the interplay were also analyzed. [Result/Conclusion] It is found that during the COVID-19 epidemic, on the one hand, positive and negative emotions of the public are intertwined to form an emotion group, which drives the information behaviors in both explicit and deep ways. On the other hand, information behaviors also affect emotions: the one-way information output behavior is the way to release emotion, and the external interaction and the information characteristics in the behavior process all change the emotions. Finally, an interplay model of information behaviors and emotions is established to reveal the role of emotions in the process of "initial emotions——information behaviors——emotion changes", and provide some enlightenments for related departments when facing the public health emergencies.
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