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  • Topic Mining and Viewpoint Recognition of Different Communicators in the Transmission Cycle of Micro-blog Public Opinion

    Subjects: Library Science,Information Science >> Library Science submitted time 2023-08-27 Cooperative journals: 《图书情报工作》

    Abstract: [Purpose/significance] This paper aims to explore the hot spot of public opinion and the main point view of the communication of different communicators in the transmission cycle of micro-blog public opinion and to discover the characteristics and laws of public opinion transmission, which can provide the basis for public opinion analysis and decision making.[Method/process] This study is based on the text data of a true public opinion event. It adopted life cycle theory and LDA method to design research process and construct research model, and researched topics of different communicators in micro-blog public opinion events, including topic extraction and semantic annotation, semantic analysis of different communicators at various stages, recognition and characterization of theme views of public opinion based on time dimension.[Result/conclusion] It is found that the research model proposed in this paper can excavate topic theme structure, view and characteristics of different communicators in the communication cycle of public opinion. And the words with actual meaning and irritating function are related, representative and important. At the same time, the conclusion also found a hot topic in the mass media or the official micro-blog is totally different from micro-blog users.

  • The Feature Extraction of Young Users' FoMO in Mobile Social Media Environment

    Subjects: Library Science,Information Science >> Library Science submitted time 2023-08-27 Cooperative journals: 《图书情报工作》

    Abstract: [Purpose/significance] FoMO of adolescent users has become more and more common and serious in mobile social media environment. In order to establish the foundation for building a robust and practical FoMO measurement scale in the future, the paper extracts the key characteristics of FoMO in the mobile social media environment. [Method/process] We obtain the original information with critical incident analysis and in-depth interview of qualitative analysis method and code the interview data with NVivo 11, then extract the key characteristics of FoMO in mobile social media environment. [Result/conclusion] The key features of adolescent user FoMO with 50 nodes in the mobile social media environment are extracted from the 5 dimensions of situation, purpose, behavior, result and psychology.

  • Study and Application of Translation and Prediction of the Scientific Literature Communication Network from the Perspective of Knowledge Evolution

    Subjects: Library Science,Information Science >> Library Science submitted time 2023-08-26 Cooperative journals: 《图书情报工作》

    Abstract: [Purpose/significance] Analyzing and researchingthe development trendof scientific literature communication network can provide reference to the following work: reveal new scientific research achievements, grasp the development context of science and technology context and find the academic foreground.[Method/process] At first, this paper expounded the theory of knowledge evolution and its application. And then, it discussed the feasibility of the scientific literature communication network forecasting method from the perspective of knowledge evolution.Finally, it constructed the forecasting model of scientific literature communication network by analyzing the evolution mechanism of science literature communication network, and verifiedthe forecasting modelthough the keywords network of scientific literature.[Result/conclusion] The empirical analysis of scientific literature shows that the evolution and trend forecasting method of scientific literature communication network is feasible and effective. Besides,this model can providesnew research ideas for the trend analysis of science literature communication network.

  • An Investigation of Information Technology Strategic Alignment Model in the Big Data Environment

    Subjects: Library Science,Information Science >> Library Science submitted time 2023-08-26 Cooperative journals: 《图书情报工作》

    Abstract: [Purpose/significance] Big Data has recently turned to be the focus of academic and corporate investigation. More and more enterprises are paying attention to achieve competitive advantages through investment on big data. This paper aims to investigate the strategic alignment of big data and business so as to achieve the strategic value of big data in organizations.[Method/process] The paper firstly gave a brief review on the impacts of big data use on the organizations at a strategic level. On the basis of the comparison and analysis of IT strategic alignment models in prior literature, this paper proposed a new IT strategic alignment model in the big data environment. Finally, this paper analyzed different types of alignment in the proposed strategic alignment model and elaborated various processes of achieving strategic impacts of big data correspondingly based on real cases.[Result/conclusion] This paper has proposed an IT strategic alignment model in the big data environment which considers the co-evolutionary dynamics nature of alignment. This model also presents different types of alignment and further indicates the various processes to achieve the strategic value of big data. It has improved the IT strategic alignment models in literature theoretically in order to facilitate the big data analysis. Moreover, the proposed alignment model also has important implications for the achievement of the business value of big data in practice.

  • Development Path of Interdisciplinary Field Based on Citation Analysis: A Case Study of Eye Tracking

    Subjects: Library Science,Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》

    Abstract: [Purpose/significance] Interdisciplinary research has become an important paradigm and inevitable trend of modern scientific innovation research. Exploring the development pattern and path of interdisciplinary fields is of great significance for understanding the dynamic process of interdisciplinarity formation and development.[Method/process] Taking the field of Eye Tracking (ET) as an example, the citation relationship of the literature was extracted and the subject was marked, and the citation networks of the literature and the subject level were constructed. To perform an analysis on the interdisciplinary development pattern of major disciplines in the ET field from a macro level, the cross-same field reference ratio, cross-same field citation ratio and Price's Index were calculated. Then this study examined the relationship between disciplines within and between different stages, and explored the relationship structure and role evolution of interdisciplinary development in different stages. Finally, to reveal the specific development path of ET development from the micro level, betweenness centrality analysis was performed to identify important documents that connect different disciplines. Moreover, this study examined the citation relations between important documents, highly cited documents, and references.[Result/conclusion] The development of ET field has three stages:incubation period, development period and maturity stage, and presents three types of subject development pattern:independent, interdisciplinary and learning discipline. The citation relationships between different disciplines are more dense and evenly distributed over time. Neuroscience, psychology and clinical medicine are important knowledge exporter during the interdisciplinary evolution. The vertical development of ET field is the basic theoretical innovation of independent disciplines, and the horizontal development is characterized by the deep integration of four types of disciplines, and the development path is presented as "independent-linear-mesh" pattern.

  • An Empirical Study on Health Information Needs of Elderly Users in Online Health Communities

    Subjects: Library Science,Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》

    Abstract: [Purpose/significance] The aging of population has a profound impact on society,economy and culture.A large number of elderly users have an increasing information needs on old-age care,medical care and social services.At present,the elderly users are not satisfied in the process of using health information,and the research on the health information needs of elderly users needs to be strengthened.[Method/process] This study relies on the online health community to carry out exploratory research using a mixed method of first qualitative and then quantitative methods.Firstly,this study obtained 37 free nodes of health information needs of elderly users by interview, then extracted 6 tree nodes of health information needs through questionnaire investigation,including usage and operation,information search,privacy and security,diagnosis and treatment behavior,interaction and feedback,self-actualization, and it is further divided into three main categories:physics,cognition and emotion, so as to build a health information need model for elderly users.[Result/conclusion] Finally, combined Maslow's hierarchy of needs to construct the health information needs model and put forward corresponding strategies and suggestions.

  • Identification and Extraction of Research Team in the Artificial Intelligence Field

    Subjects: Library Science,Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》

    Abstract: [Purpose/significance] This paper identifies the research team in the artificial intelligence field, and extracts the leading research team from multi-dimensional indicators, aiming to enrich the process and method of identification of the research team, and provide the basis for analyzing the context, frontier and theme of the field of artificial intelligence from the perspective of the research team.[Method/process] This paper was based on the publication data of the Web of Science category Computer Science, Artificial Intelligence from 2009 to 2018, and did data cleaning via programming and manual check. Global co-author network is constructed based on the fractional counting method, and the Louvain algorithm was used to dynamically tune and identify the research teams. Moreover, the leading research team was extracted based on different indicators with parameter adjustment.[Result/conclusion] From practical view, the study has constructed a set of rules for cleaning publication data of artificial intelligence field. The process of identifying artificial intelligence research teams based on co-authorship is constructed. The study proposes the method of tuning the parameter by eliminating edge nodes in the collaboration network and further taking the known research teams as baseline. The worldwide research teams of artificial intelligence field are systematically and accurately identified. The leading research teams are further extracted based on indicators of six dimensions, i.e. number of publications、number of citations、h index、weighted degree centrality、betweenness centrality、closeness centrality. Exemplary analysis is conducted on leading research teams of each dimension by combining the publication data and web information survey.

  • Research on the Influencing Factors of Askers' Switching Behavior on Payment-based Knowledge Q&A Platforms

    Subjects: Library Science,Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》

    Abstract: [Purpose/significance] Free-based and payment-based knowledge Q&A platforms are two major channels for problem solving. In order to improve the user experience on the payment-based knowledge Q&A platforms and promote the development of payment-based knowledge Q&A platforms, this paper explores the influencing factors of the askers' switching from free-to payment-based knowledge Q&A platforms.[Method/process] Firstly, this paper reviewed the related researches on the influential factors of knowledge payment. Then, based on the critical incident technique and the push-pull-mooring model, this paper combed the influencing factors of the askers' switching behavior from the free-to payment-based knowledge Q&A platforms. Then, this paper used entropy weight method to compare the weight of each influencing factor before and after the switching behavior.[Result/conclusion] The factors that influence the askers' switching behavior are divided into the related factors of free-based knowledge Q&A platforms, the related factors of payment-based knowledge Q&A platforms, social factors, personal factors and objective factors. Moreover, the influences of these factors have some differences before and after the switching behavior. Finally, the authors put forward some suggestions on the publicity mechanism, evaluation mechanism, payment mechanism and pricing mechanism of the payment-based Q&A platforms.

  • Holistic Perspective Multi-knowledge Relations Mining in Network Community

    Subjects: Library Science,Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》

    Abstract: [Purpose/significance] There are many knowledge units in the network community, among which there are intricate relationships. It is necessary to carry out multiple knowledge relations mining uniformly and succinctly on the premise of retaining all the relations of knowledge units.[Method/process] This paper puts forward the solution of multi-knowledge relations mining in network community. Firstly, 3 typical knowledge units (users, texts and words) in the network community and their multiple relations in the knowledge communication were extracted into a supernetwork. Secondly, the network representation learning algorithm was used to uniformly represent the nodes in the supernetwork as low-dimensional dense vectors. Finally, multiple knowledge relations calculation was carried out based on nodal vector.[Result/conclusion] The effectiveness of the scheme was verified by taking cardiovascular BBS in dingxiang garden as an example. This scheme not only retains all the information of the knowledge unit, but also carries out the mining of the knowledge relation under the unified low-dimensional characteristics, and finally the knowledge relation meets the requirements of the diversity of the knowledge organization scene in the network community.

  • A Comparative Study on Users Information Interaction Behaviors Between Free and Fee Q&A Communities

    Subjects: Library Science,Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》

    Abstract: [Purpose/significance] As the popular online Q&A mode, the free and fee online Q&A communities provide users with different information interaction scenarios, differentiated user needs can be met. This paper compares the participation behavior of two types of community users, and reveals the behavioral differences between them, finally some countermeasures and suggestions for the optimization of the two kinds of community service modes are put forward.[Method/process] The contingency table analysis, non-parametric test and negative binomial regression were used to analyze the interaction characteristics and interaction relations.[Result/conclusion] This paper finds that there are many differences between free and fee online Q&A users in information demand, participation characteristics and interaction relations, free online Q&A has the most opinion questions and paid online Q&A has the most advice questions; free questioners tend to ask abstract and general questions, while fee questioners tend to provide detailed background information; the length of questions negatively affects the number and length of free answers, and positively affects the length of fee answers; the question length and answer length positively affect the number of free and fee evaluations. This paper enriches the research on user participation behavior of online Q&A community, and provides some management suggestions for free and paid online Q&A community.

  • Content or Context: A Study on the Behavior Mechanism of Online Users' Knowledge Payment——A Configuration Analysis Based on CCC-B Framework

    Subjects: Library Science,Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》

    Abstract: [Purpose/significance] The pursuit of high-quality content production or knowledge payment context construction is always an important judgement that knowledge payment platform needs to face. This study is to provide guidance for the construction of knowledge payment platform and the optimization of knowledge marketing strategy.[Method/process] It explored the main factors and antecedent configuration that affect online users' knowledge payment behavior, and analyzed the complex influence mechanism of "content", "context" and users' "identification" on users' knowledge payment behavior by qualitative comparative analysis.[Result/conclusion] According to the typical path of empirical analysis, we found:①configuration of "content context identification" (CCC) linkage matching can activate the research framework and drive online users to choose to generate "behavior";② the "content quality * content utility * legalization" in paid products is the core condition of users' demand response, and the "group norms" in paid situations is a sufficient condition for users' knowledge diffusion behavior;③ there are 5 kinds of complex solutions with high explanatory power, which have different effects and the overall benefits on the behavior of knowledge payment between online transaction researchers' perspective and this paper's;④ different from the conclusions of many literatures, limited cognition can be the supporting factor of user behavior decision, while involved cognition can be the variable of coordination in configuration, which needs to be combined with specific situational factors to facilitate user selection; ⑤there is an equivalent substitution effect of "results are equal but benefits are not equal" between the collocations of different participation conditions, and the specific conditions and their combinations can promotes the behavior of knowledge payment over equivalent substitution.

  • Research on the Impact of Small-World Characteristics of Patent Cooperation Network on Enterprise Technological Innovation Performance

    Subjects: Library Science,Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》

    Abstract: [Purpose/significance] Based on the moderating effect of patent cooperation network's small-world characteristics, the paper analyzes the impact of enterprise ego-network characteristics on innovation and provides a basis for the management of firm's technological innovation.[Method/process] The paper used co-patentee relationship between enterprises to construct patent cooperation networks and measured innovation of enterprise with the number of patents application and authorization. The paper built the theoretical model, with the scale and density of enterprise ego-network, the proportion of cooperation with small companies as independent variables, with the small-world characteristics of patent cooperation network as a moderator variable. We took enterprises in the field of speech recognition technology as research samples for empirical analysis.[Result/conclusion] Through empirical analysis, this paper reveals the impact of the characteristics of ego-network on innovation of enterprises, and clarifies the mechanism of the impact of the small-world characteristics of the patent cooperation network on innovation. The research finds that the small-world characteristics enhance the negative influence of the density of the ego-network on innovative through its high clustering coefficient. Based on the results, the countermeasures and suggestions to improve innovation are put forward.

  • Research on Influencing Factors and Path of Users' Continuous Adoption Intention of Digital Health Apps from the Perspective of Perceived Value: Based on fsQCA

    Subjects: Library Science,Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》

    Abstract: [Purpose/significance] The problem of low user retention rate of digital health Apps has always been difficult to solve. This paper aims to clarify the perceived value factors and influencing paths that affect users' continuous adoption of digital health Apps, so as to provide reference for future improvement strategies of digital health Apps.[Method/process] Based on the perspective of perceived value, this paper adopted the research methods of content analysis and fuzzy set qualitative comparative analysis. Summarized the factors from users' negative comments on digital health Apps, and explored the configurations leading to users' continuous adoption of digital health Apps.[Result/conclusion] The study found that system value, update value, environment value, inquiry value, transaction value and security value were the influencing factors of users' continuous adoption of digital health app; three effective configurations were generated through fsQCA 3.0, which were CA1:high update value*high transaction value*high security value*high inquiry value; CA2:high update value*high transaction value*high security value*high environmental value*high system value; CB:low system value*high update value*high security value*high inquiry value*high environmental value. Finally, we analyzes the influencing factors and configurations, and provides practical enlightenments for the future development of digital health Apps.

  • Research on Relation Extraction of Academic Full-Text Based on Self-Owned Knowledge Enhancement

    Subjects: Library Science,Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》

    Abstract: [Purpose/Significance] Relation extraction under academic full-text is the key technology for the construction of academic full-text knowledge graph. The constructed academic knowledge graph can realize the structure and knowledge of documents, and improve the efficiency of researchers retrieving documents, analyzing documents and grasping scientific research trends, and cognitive reasoning through graphs contributes to implicit knowledge discovery.[Method/Process] Enhancing relation extraction through external knowledge has achieved results in many studies, but relation extraction for specific fields often lacked available external knowledge. The research in this paper found that the high-confidence knowledge in the full-text could also be used to assist the extraction of full-text relations. For this reason, based on the dual-system theory of cognitive processes (system 1 is intuitive cognition, system 2 is reasoning cognition), this paper designed a sentence-level model to acquire knowledge, and obtained high-confidence knowledge through remote supervision, and then high-confidence knowledge was integrated into the final classification layer of the text-level deep learning model.[Result/Conclusion] On the biomedical academic full-text data set (CDR-revised), the F1 is about 11.13% higher than the current state-of-the-art model.

  • Building Open Data Service Ecosystem of Major Public Health Emergencies Based on Citizen Science Mode

    Subjects: Library Science,Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》

    Abstract: [Purpose/significance] At the present stage, the data opening of major public health emergencies is faced with many difficulties, such as low public participation, poor data utilization and imperfect platform services. This paper introduces the citizen science mode to build an open service ecosystem, aiming to provide ideas for breaking the deadlock in the development of open data on major public health emergencies.[Method/process] This paper clarified the main elements and implementation processes of citizen science projects in the context of open data on major public health emergencies, and explored the citizen science operation model. On this basis, the study systematically sorted out key elements such as stakeholders, value creation models, constraints and promotion systems. Finally, an open data service ecosystem for major public health emergencies was comprehensively constructed.[Result/conclusion] In this service ecosystem, the citizen science mode is the infrastructure, and the open data platform for major public health emergencies is the key node. By providing all-round service contents, targeted system constraints and promotional mechanisms, this system guides the public, various industry institutions and professionals to interact and cooperate at the levels of macro, meso and micro, integrate their own advantageous resources and carry out service exchange and complementarity, so as to achieve value creation. The results of this paper will help to improve the social participation and utilization of open data, and provide an action reference for the construction of the service system and optimization of the service level of open data platform for major public health emergencies.

  • Current Status and Development Suggestions of Think Tank Services for Major Public Health Emergencies

    Subjects: Library Science,Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》

    Abstract: [Purpose/significance] This paper aims to provide a reference for the construction of relevant think tanks by summarizing and analyzing the status quo of think tank services for major public health emergencies at home and abroad.[Method/process] By literature research and website survey, the research investigated the services provided by think tanks for major public health emergencies, including in-depth analysis of 35 key think tanks.[Result/conclusion] The relevant think tank services are classified into three basic types:decision-maker-oriented, professional-and-practitioner-oriented and public-oriented. The research delivers a summary about the commonalities and typical service practice of different think tank services, and points out the gap in themes, contents and forms of think tank services at home and abroad. Finally, the research puts forward the proposals to develop new think tanks with Chinese characteristics for major public health emergencies from three aspects of service design, activity principle and mechanism guarantee.

  • Research on Influencing Factors of Online Surrogate Health Information Seeking: Based on the Health Belief Model and Social Support Theory

    Subjects: Library Science,Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》

    Abstract: [Purpose/significance] Online surrogate health information seeking is an everyday life information practice mode based on interpersonal cooperation. It is of great significance of deeply understanding the information behaviors to explore the influencing factors and mechanisms of this behavior based on the classical theories. [Method/process] Based on the health belief model and social support theory, this paper constructed the influencing factors model of surrogate health information seeking and put forward 12 research hypotheses. 475 valid data were collected through questionnaire survey and analyzed by SmartPLS. [Result/conclusion] The results show that empathy, information support intention, perceived severity and perceived benefits have positive impact on online surrogate health information seeking intention (OSHISI), while perceived barriers have a negative impact on OSHISI. Perceived susceptibility and self-efficacy have no direct relationship with OSHISI. The mediating effect analysis showed that the relationship between perceived susceptibility and OSHISI is completely mediated by empathy. Empathy plays a partial mediating role in the relationship between perceived severity and OSHISI. The relationship between self-efficacy and OSHISI is partially mediated by information support intention. The results of this study provide a reference for further motivating, managing and intervening online surrogate health information seeking practices.

  • 基于任务展示示能性的众筹项目视频分析 ——以众筹网为例

    Subjects: Library Science,Information Science >> Information Science submitted time 2017-12-05 Cooperative journals: 《数据分析与知识发现》

    Abstract:【目的】从发展现状、内容特征、形式特征三个方面分析我国不同类型众筹项目视频使用现状及其特点。 【方法】基于任务展示示能性理论, 构建视频内容特征和形式特征的二维视角(发起方视角和参与方视角)分析框 架, 并以众筹网为例进行实证探讨。【结果】研究表明: (1)视频资源能够显著促进众筹进度和成功率, 吸引用户关 注和支持, 但我国众筹项目介绍中使用视频的比例仍然较低; (2)不同类型的众筹项目其视频内容特征和形式特 征都有显著的相似性和差异性特点。【局限】分析框架粒度较大, 有待进一步扩展和细化。本研究选择综合性众 筹平台众筹网为研究对象, 样本具有一定的局限性。【结论】本文分析我国众筹项目中视频的现状和特点, 可以 为众筹平台的优化设计以及众筹项目的成功实施提供参考和建议。

  • 基于链接分析法对国内网络直播平台综合 影响力的评价研究*

    Subjects: Library Science,Information Science >> Information Science submitted time 2017-12-05 Cooperative journals: 《数据分析与知识发现》

    Abstract:【目的】探究如何利用链接分析法科学合理地对网络直播平台综合影响力做出客观评价。【方法】借助 Google 和 Alexa 工具收集国内 20 家知名网络直播平台的相关链接数据, 使用改进指标权重计算方法的灰色关联 分析法, 对这 20 家网站的综合影响力进行评价。【结果】获得网络直播平台影响力的综合排名, 并依据此分析国 内网络直播平台特征及现状。【局限】能获取全面数据的网络直播平台数量较少, 故选取样本数量有限。【结论】 中国当前网络直播平台的整体水平还不高, 本文从链接角度出发, 提出进一步提升平台影响力的方法策略

  • 国际公众科学领域演化路径与研究热点 分析*

    Subjects: Library Science,Information Science >> Information Science submitted time 2017-12-05 Cooperative journals: 《数据分析与知识发现》

    Abstract:【目的】通过厘清国际公众科学领域的源流与研究现状, 为今后该领域的探索提供参考与借鉴。【文献范 围】选取 Web of Science (WOS)核心数据集作为文献数据来源, 以公众科学(Citizen Science)、群智科学(Crowd Science)等关键词以及项目名称进行主题检索, 共得到相关文献 1 796 篇。【方法】借助文献计量、社会网络、内 容分析等方法, 结合可视化工具, 对公众科学研究的演化路径、研究热点及国际图书情报学科中公众科学主题的 研究现状进行深入分析。【结果】结果表明, 随着互联网的发展和各类智能移动终端的普及, 群体智慧和开放科 学范式受到高度关注, 基于群体参与及协作的公众科学研究正处于快速发展阶段。目前的研究热点可以归纳为 三个层面, 即项目视角、理论方法视角以及参与者视角。此外, 尽管以往公众科学的研究主力集中在自然科学领 域, 但在国际上图书情报学科对于公众科学方向的探索具有起点高、发力强等特点, 蕴含很大的发展潜力。【局 限】仅使用 WOS 核心数据集作为数据来源, 没有包含领域会议论文, 故而数据存在偏差; 仅根据关键词进行主 题演化分析, 没有以全文数据为分析样本。【结论】图书情报领域作为兼具资源管理优势与数据管理优势的传统 学科, 势必将对公众科学的研究发挥重要作用。