Subjects: Library Science，Information Science >> Library Science submitted time 2023-08-27 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] The information exchange process in WeChat group has diversified role types, and it is of great significance to define the role types of WeChat lurkers and to analyze the causes of diving behavior to further explore the process of information exchange and grasp the inner communication mechanism of WeChat.[Method/process] Based on real dialogue sample as study object, the paper calculated the members' direct participation and indirect dependence, and designed the algorithm of the rate of outlier to quantitatively identify the lurkers in the WeChat group. The lurkers' character types were divided based on time series statements, calculate the intimacy between members through interaction intensity and the fit of interest, and build the information exchange network as the weight of the side, and the behavioral motivation of lurkers was analyzed in WeChat group based on dynamic evolution of network structure.[Result/conclusion] By calculating the rate of outlier and the number of time series statements, it can effectively define the lurkers and their role types in WeChat group. Based on the evolution analysis of member network embedding position, roles and so on, it is found that there is a correlation between lurkers' behaviors and membership status, topic interest, relationship between members and so on.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-08-27 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Exploring the topic and evolution trend of hypertension literature is of great significance for users to understand the profile, research hot-spots and frontiers of chronic disease, and can promote the knowledge communication among experts.[Method/process] This paper takes the Hypertension and 26717 articles from PubMed database as the research object, extracts high-frequency Mesh Terms to construct a co-occurrence matrix. Social network analysis is applied to detect the community and topic distribution of the hypertension study literature, and the expanded topic modeling Dirichlet-multinomial regression is also used to explore the topic distribution and evolution trends. Then similarities and differences of the SNA and DMR method in topic detection are analyzed.[Result/conclusion] It is found that the hypertension literature is mainly concentrated on three communities, which can be divided into five research topics, such as risk factors, research methods, basic situation of patients, diagnosis and treatment, and animal experiments. The relative distribution of the topic varies with time change. It is also found that the topic obtained from SNA and DMR are basically similar. But the Mesh Terms obtained from SNA method are more specific and clearer, while the DMR is more broadly and have an advantage in exploring the evolution of various themes.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-08-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] This paper explores the community structure and community membership of the research interest similarity network of core authors in information science.[Method/process] We firstly download all papers of information science retrieved in CSSCI database using the China Library Category number. By recognizing the core-authors in this discipline with Price law, we compute the similarity between each two authors with bag-of-words model and construct the research interest similarity network of core authors. Then we divide it into four research community. Finally, we compute the every author's membership degree to different communities and his/her fuzzy entropy.[Result/conclusion] We discover that the domestic information science discipline has four research field:information organization and retrieval, bibliometrics and scientific evaluation, competitive intelligence and knowledge management, and the information science. Most authors' research isn't limited to one field. Finally, the authors in C2 and C3 merely take each other as secondary membership community, and it implies that the boundary between competitive intelligence and bibliometrics is very obvious.
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.
Subjects: Library Science，Information Science >> Information Science submitted time 2017-11-08 Cooperative journals: 《数据分析与知识发现》
Abstract：【目的】探讨目前针对书目、题录信息以及新闻网页、博客等新兴媒体开展的数字文本自动分类研究中存在的主要问题和可能的解决方向。【文献范围】基于机器学习方法的自动分类研究领域中，关于特征语义转换、特征扩展和加权策略等方面的主要研究成果及相关文献。【方法】按照主要研究、关键技术、现有成果水平和今后发展方向等方面进行分析归纳。【结果】针对特征语义转换、特征扩展和加权策略等研究领域，分析问题的现象和原因，指出当前研究在文本语义表示、各种知识库的利用等方面存在的不足。【局限】没有涉及分类过程中分类算法等其他比较成熟的研究领域。【结论】今后可以从向量空间模型与概率主题模型相结合、利用各种外部知识库并提高概念相似度计算能力、结合多种加权策略构建复合加权表示模型等方向开展分类研究，以提高数字文本自动分类的性能。
Subjects: Library Science，Information Science >> Information Science submitted time 2017-10-11 Cooperative journals: 《数据分析与知识发现》
Abstract： [Objective]This study aims to identify relationship among authors of papers with similar contents but different keywords, and then tries to add more sematic factors to the co-occurrence analysis. [Methods] We proposed a method to gauge the similarity of research interests based on the keywords semantic network system. First, all keywords were represented as word vectors and translated into low dismension distribution with the help of neural network language—word2vec model. Second, we calculated the semantic association of keywords to build up a semantic network. Finally, we adopted the Jensen-Shannon distance method to measure the similarity of research interests. [Results] The proposed approach can accurately identify the similarities of co-occurrence and non co-occurrence terms and then effectively predict potential cooperation among authors. [Limitations] The amount and accuracy of training materials need to be increased. At present, we could only find potential cooperation between two authors. More research is needed to explore the possibilities of cooperation among multi-authors. [Conclusions] The proposed method could help to improve the performance of traditional co-occurrence analysis.
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