Subjects: Library Science，Information Science >> Library Science submitted time 2023-08-26
Abstract： Purpose/Significance To interpret and examine the reading space created by the metaverse from the perspective of architectural phenomenology, and to stimulate the thinking and exploration of building a metaverse library under the discourse of architecture. Method/Process Using a phenomenological approach, examine the architectural characteristics of the Metaverse Library and propose considerations and suggestions for the architectural design of the Metaverse Library. Result/Conclusion Architectural phenomenology emphasizes that the meaning and value of architecture lies not only in its function and form, but also in the perception and experience of people within it. Architecture and space are the foundation of library reading services, especially under the norms of metaverse construction where perceptual mobilization plays an important role, the functionality of metaverse libraries is mainly achieved through the perception and experience of virtual spaces. The exploration of space cannot be separated from the foundation of the building, and even in virtual spaces, the design of virtual buildings plays a fundamental regulatory role. The metaverse library should integrate and unify environmental functions with subjective perception, utilize technology to express the concrete expression of consciousness experience and reading culture, and achieve cultural meaning of space.
Peer Review Status:
Awaiting Review
Subjects: Library Science，Information Science >> Library Science submitted time 2023-05-22
Abstract： Purpose/Significance Trust is a key factor in maintaining collaboration and will result in knowledge transfer between scientists. It enables knowledge transfer from individual ownership to multi-person sharing and further promotes scientific development. The study of trust mechanism-oriented knowledge transfer can help the maintenance of trust relationship among scientific collaborators and promote knowledge transfer, thus facilitating the further development of science. Methods/Process In this paper, we first quantified the trust of scientific collaborators using the American Physical Society dataset (APS) and analyzed the trust distribution pattern among collaborators. Then, the knowledge transfer between research collaborators is classified into implicit and explicit, and the paths of knowledge transfer in the collaborative network are sorted out. Finally, regression analysis is used to verify the effect of trust among collaborators on the amount of knowledge transfer. Results/Conclusions The basic trust and knowledge transfer between scientific collaborators had a clear pattern of temporal resonance. Collaborative teams that generated implicit transfer had lower trust. Explicit transfer was more correlated with the trust, but implicit transfer was more dependent on. By clarifying the influence of trust mechanisms on knowledge transfer in scientific research collaboration, this study extends the study of trusting emotions to trusting behaviors. By quantifying the trust between scientific collaborators, the limitations of measuring static trust in a cross-section of collaboration are reduced.
Peer Review Status:Awaiting Review
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-14
Abstract： Purpose/Significance Combining scientific research team with algorithmic innovation and exploring its influence on algorithmic innovation from the perspective of scientific research team traits can help improve the academic capacity of scientific research team, which in turn can promote algorithmic innovation and scientific innovation. Method/Process Three research team measures, namely, research team size, number of research team institutions, and research team institution type, and two algorithm innovation evaluation indexes, namely, algorithm performance and academic output, are established. Taking 543 scientific research teams under the image classification task in the field of machine learning as an example, non-parametric tests and multiple linear regression models were used to explore the effect of scientific research team traits on algorithm innovation, and suggestions to enhance the scientific research performance of scientific research teams and promote algorithm reinvention were proposed based on the empirical results. Result/Conclusion All of the research team characteristics measures have an effect on algorithm innovation, mainly: the type of research team institution has a significant effect on algorithm innovation, the hybrid research team has the best performance in algorithm model accuracy, and the enterprise research team has the best performance in algorithm paper citations; the research team size has a positive effect on algorithm performance and academic output; the research team The number of institutions has a positive effect on the academic output and a negative effect on the algorithm performance.
Peer Review Status:Awaiting Review
Subjects: Materials Science >> Materials Science (General) submitted time 2023-03-31 Cooperative journals: 《腐蚀科学与防护技术》
Abstract： none
Subjects: Library Science，Information Science >> Utilization of Information submitted time 2022-08-19
Abstract： Purpose / significance Schools of thought have always been a crucial part of the academic collisions and discussions that occur during the evolution of science since they serve as the primary arena for the creative activities of scientists. This study aims to identify the characteristics of the schools and look into the reasons behind disputes and interactions between them in order to make up for the abstract logic of early school studies. The study of schools can aid in the transmission and innovation of theories, promote the collaboration and communication of scientific activities, and thus enhance the cohesion of knowledge. Method / process Taking the grounded theory school as an example, this paper extracts the metadata of the grounded theory literature and its citation relations from the Semantic Scholar database, and employs a combination of quantitative and qualitative research methods to uncover the conflicts and communication relations among the grounded theory schools, revealing their characteristics in terms of disciplines, scholars, and thematic contents, and delving into the underlying reasons. Results / conclusion The study found that the communication between schools is more pronounced, and that conflicts arise due to different core theories, as well as with the academic background and methodological nature of the original proponents. Scholars do not have a complete sense of attachment to schools, and different schools have various relations with scholars in terms of stability. Scholars do not have a complete sense of attachment to schools, and different schools have various relations with scholars in terms of stability of scholars. The content of schools is also a reason for attracting scholars if it is in line with the contemporary demands. Based on the analysis of the thematic content, the inter-school communication is implicit in the process of scholars' application of the school content. Through the dynamic interaction between the four elements of the applied model: perception of theoretical foundations, empirical interpretation of phenomena, logical compatibility of methods, effective technical innovation, and integrated innovation of themes, a "passive" communication takes place between different schools and with other research fields.
Peer Review Status:Awaiting Review
Subjects: Library Science，Information Science >> Library Science submitted time 2022-08-17
Abstract： Abstract： Purpose/Significance Our research gathers media articles and scientific literature data (98% in English) of vaccine scientists and anti-vaxxers to investigate the differences in their media visibility and scientific authority. The media co-occurrence networks and scientific citation networks are utilized to detect the associations between the two groups. The research can inform domestic media on how unevenly vaccine topics are covered and assist people understand the causes of the spread of vaccine hesitancy. Methods/Process We collect data of 213 anti-vaccine advocates and 200 vaccine scientists, including 100,000 research documents and 60,000 English-language media article metadata. In order to investigate the reasons for the differences in media visibility between vaccine scientists and anti-vaxxers, our research first analysis from the group-level of the data. Then we focus on the people’s media visibility from the perspectives of passive presentation and active presentation, respectively. Finally, the media co-occurrence network and the scientific citation network are created separately to explore the association between vaccine scientists and anti-vaxxers. Results/Conclusions Anti-vaxxers have 52% more media articles than vaccine scientists when we compare solely media visibility, but when we compare the 50 most authoritative individuals in the two groups, vaccine scientists have greater media visibility than anti-vaxxers. The findings imply that the media's selection of topic buzz may have a role in the capacity of anti-vaxxers to get a lot of attention. Even though the majority of anti-vaxxers have weak scientific authority, they can still generate a lot of buzz by spreading false information and exaggerated propaganda on various social media platforms or new media, while the media visibility of vaccine scientists is primarily focused on those with higher scientific authority. Additionally, we discover that anti-vaxxers are more closely linked to each other than vaccine scientists, creating a team effect that facilitates the spread of their anti-vaccine rhetoric.
Peer Review Status:Awaiting Review
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