Preliminary Conference Agenda

Uyghur Muqam, a comprehensive musical composition originating from the Xinjiang Uyghur community, has been recognized as a world intangible cultural heritage. Presently, the focus of research has shifted towards the digitalization of Uyghur Muqam, an area of significant importance for the protection and development of this intangible cultural heritage. The establishment of a semantic web holds paramount significance in facilitating the digitalization process, particularly in enhancing the design of relational databases and dynamic digital libraries. This study aims to develop a semantic framework tailored to the unique attributes of Uyghur Muqam, thereby effectively capturing its essence.

This study explored the interdisciplinary influence of review articles published in library and information science (LIS) journals and classified the results by topic. In total, we identified 20,715 citations of 582 LIS review articles published between 2000 and 2019. Among the review articles, which were classified under 12 topics, those classified as “citation analysis” review articles received the most citations on average, despite covering the topic with the second-lowest number of review articles. “Information organization” review articles increased the most in annual influence and became the most influential category of review articles from 2017 onward. The review articles that explored information science–oriented topics tended to be more influential than those that explored library science-oriented topics. Regarding the influence of LIS research, approximately 35.2% of the citations of LIS review articles were in works published in LIS journals, indicating that the interdisciplinary influence of LIS review articles was greater than their intradisciplinary influence. Only the review articles that explored “LIS services,” “archives,” and “other aspects of LIS” had more influence on LIS research than on other research fields. The results of the present study can help LIS researchers to identify potential non-LIS collaborators who are interested in LIS research.

First and corresponding authors are often regarded as leading members in a research team. Distinguishing the gender composition of leading authors paints a nuanced picture on the gender differences in scientific performance at the research team level. This poster selects scientific publications in 2010 in the field of biology and finds that, in mixed-gender teams, while female authors hold a higher rank trend in publications’ bylines than male authors, female-as-corresponding-author research teams tend to receive less citations.

Understanding the patterns of information dissemination on social media platforms with different content distribution mechanisms becomes crucial to mitigate potential negative impacts and foster a healthier information ecosystem. However, existing studies still face the limitations of data availability, platform specificity, and neglecting concurrent patterns. To address these issues, we employ trending topics as an instrument to investigate information dissemination patterns across various platforms. A multivariate time series deep learning model combined with explainable artificial intelligence (XAI) techniques is utilized to capture the relationships and influences among internal popularity and external rivalry in the trending topic dynamics. For comparative study, we've meticulously constructed a large-scale dataset of over 8 million time-series trending topic data from Weibo (emphasis on the social network mechanism) and Douyin (prioritize the recommendation algorithm). We find that dynamic patterns of trending topics are significantly different under distinct platform mechanisms, particularly in the impact of external rivalry. This study introduces a new research perspective to explore information dissemination patterns across platforms with different mechanisms, and provides valuable insights into analysing the potential impact of platform mechanisms on trending topic dynamics.

To promote the high-quality development of public cultural services, libraries need innovative marketing methods to attract users’ extensive participation. Ritual activities can enhance group unity, promote cultural inheritance, and influence users’ identity, and can be used as one of the ways of library marketing. In-depth study of library ritual activities and clarification of the impact of ritual activities on library users’ identity is conducive to optimizing library ritual activities and enhancing library social value. Therefore, this paper interviewed 6 librarians and 15 users about their views on library ritual activities. Based on interview content and interactive ritual chain theory, social identity theory and communication ritual concept, this paper constructed a model of the influence of library ritual activities on user identity. Experiment was used to verify it. It was found that library ritual activities had a positive impact on user identification, however, perceived value and emotional energy did not play a mediating role in all effects, and there were certain differences between participating users and observing users.

Identifying reuse patterns of novel technologies is crucial for understanding technology diffusion and predicting technologies with a higher potential val-ue. Prior studies predominantly employed S-curves to depict technology re-use. However, the reuse of distinct technologies may demonstrate diverse patterns. Thus, this study attempted to uncover potential technology reuse patterns through a comprehensive cross-domain analysis of technology re-use. We conducted a shape-based clustering analysis on the reuse trajectories of novel technologies that emerged from 1995 to 2020 to identify potential technology reuse patterns. The findings indicate that the trajectories of 39,376 novel technologies exhibit four types of reuse patterns, i.e., s-shaped trajectory pattern, fleeting trajectory pattern, linear trajectory pattern, and ex-ponential trajectory pattern. The robustness of identified patterns was con-firmed through consistency analysis with the clustering results based on Eu-clidean distance. This work contributes to the comprehension of technology reuse and provides insights for forecasting the diffusion and application of novel technologies.

Health issues are prevalent among international students, and access to health information can help them manage their conditions and maintain their well-being. However, they are usually meet various barriers when they access health information. This study interviewed 11 international students in the United States to explore their behavior in seeking health information. The analysis revealed that their information-seeking patterns change once they arrive in the U.S. to attend university. They rely more on friends and the Internet in choosing information sources and use multiple languages for their search behavior. They also encounter more barriers in health infor-mation access. International students worry about language and cost as well as contend with a lack of understanding and distrust of the medical system, all of which hinder their access to information. These findings have implica-tions for developing strategies to enhance health information seeking among international students.