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 2023-08-26 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 2023-08-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] In order to help the readers understand the contexts of the news event on micro-blog platform and improve readability and accuracy of micro-blog event summary, we propose a method for extracting the event summary organized by time axis based on event elements.[Method/process] Based on the characteristics of micro-blog text, we combine both advantages and disadvantages of the LDA and mutual information maximum entropy model (MaxEnt-MI) and extract event summary keywords, screening micro-blog with micro-blog communication value and theme relevance and generating event summary in the form of time-keywords-mircro-blog.[Result/conclusion] Comparing with the traditional TextRank method in the artificially labeled test set, we find the F value increased by 8% to 13%, and the internal tests show that the readability of the abstracts is significantly improved. The number of experimental texts and test sets and the richness of the event need to be further expanded, and more weighting strategies should be considered in order to improve the accuracy of the abstracts. The experimental results and the test results show that the proposed method is feasible and effective, which can meet the needs of the users for the hot event summary information, and improve the accuracy of the micro-blog abstract extraction.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] The article aims to explore the factors and their mechanisms influencing the generation of co-word network for interdisciplinary field, and to reveal micro-level mechanisms of knowledge connection in interdisciplinary field.[Method/process] Borrowing network embedding theory, the article summarizes the factors into network structure factors (endogenous variables) and keywords' attribute factors (exogenous variables). Exponential random graph model is constructed based on these factors to perform an empirical analysis on the field of Medical Informatics.[Result/conclusion] The results show that the influence of network structure factors on the co-occurrence relationship generation is greater than that of keywords' attributes. Preferential attachment and transitive mechanism have significant positive effect. Keywords tend to be connected with the newer ones. In addition, the keywords of Medical Informatics tend to establish co-occurrence relations with the keywords from basic disciplines, while the keywords from basic disciplines tend to be connected with the keywords in their own disciplines. The conclusions are helpful to understand the formation process of knowledge systems in interdisciplinary fields and the interactions of interdisciplinary knowledge.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] The extensive development of scientific research cooperation will inevitably lead to the imbalance of regional scientific research output. In order to explore its distribution, the paper analyzed the causes of differences, and studied the spatial distribution of regional scientific research output.[Method/process] Based on the bibliographic data of the computer field from 1997-2016, the geographical location information of the organization is extracted, and the observation point was used to visualize the distribution, and the Gini index and the centrality index are measured to study the distribution concentration. By measuring the global Moran index and local autocorrelation index, the spatial autocorrelation law was studied. By measuring the Pearson correlation coefficient, the correlation between the number of colleges and universities, the gross national product, the research and experimental input, and the population was studied.[Result/conclusion] The output of journals in the computer field showed an uneven geographical distribution, a clear concentration, and spatial autocorrelation. Meanwhile, it had a high correlation with the number of regional universities and regional research and experimental funding.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] The Formation of patent citation is necessary to understand innovation networks. The independence assumption set by the Conventional regression model for observed objects cannot integrate the structural effect factors of the network into the model to provide comprehensive statistical inference. ERGMs (exponential random graph model) represent a methodological innovation of statistical inference for networks given their ability to model actor attributes along with endogenous self-organizational processes and exogenous network covariates.[Method/process] In this paper, ERGMs are applied to systematic inspect the five mechanisms affecting patent citation formation in a sample of Nelarabine drug. The five mechanisms contain main effect, difference effect of citation lag, and activity effect, transitivity effect and network covariates.[Result/conclusion] We find that five different types of mechanisms play diverse roles in patent citation formation. And three of effects among these mechanisms have significant impacts on citation formation of nelarabine drug:network covariates based on shared inventors and shared patent family membership, and transitivity effect. In addition, some aided mechanism play a supporting role on patent citation formation, such as difference of time lag, main effects of number of claims and reference.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Although there have been efforts of scholars to answer the question, what’s determinants of patent citation formation are not solved satisfactorily. Scholars find formation of patent citation is influenced by the structure characteristics of patent citation network. However, the current framework of statistical inference methods based on logistical regression is failing to incorporate the above factors, so an innovative method need to be introduced. [Method/process] From a tie formation perspective, patent citation formation represents three broad category of tie formation processes: attribute-based processes, self-organizing network processes and covariates processes. Furthermore, based on these processes, the paper establishes a mapping relationship between those processes with particular types of configurations. Finally, a framework is proposed for understanding the complexity of patent citation formation. [Result/conclusion] The paper introduces a framework for understanding patent citation formation, which lays the groundwork for statistical network modeling in the future. In addition, broadly network configuration selection from the framework offers significant opportunities to extend existing bibliometrics and open new pathways in complexity of scientific network analysis.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] The question answering system for "the Belt and Road" investment has important research and application significance. It can effectively integrate information from multiple sources and provide user with fast, accurate and high-quality "the Belt and Road" investment information.[Method/process] Firstly, the information which related to the "the Belt and Road" investment was collected, processed and integrated. and then, under the guidance of experts, the "the Belt and Road" investment knowledge graph was constructed. On this basis, the functions of each part of question answering system were realized, including:question preprocessing, question classification, question template matching and answer query.[Result/conclusion] The result shows that, this system can effectively answer questions about "the Belt and Road" investment.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Through the research of scenario extension of sci-tech information services, this article provides a targeted path and method for developing and integrating sci-tech information services into the sci-tech services.[Method/process] The methodology is proposing and analyzing the sci-tech information scenario triple, furthermore researching how to launch sci-tech services by the case study of integration sci-tech services for city clusters in the middle reaches of Yangtze River.[Result/conclusion] The results show 2 fundamental approaches for launching sci-tech services under the new scenario, one is resource integration and the other is service coordination.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Scientific research communities are important knowledge groups in contemporary science. Studying the evolutionary characteristics of scientific research communities is of great significance for exploring the law of field development and promoting knowledge innovation.[Method/process] This article took the field of Library and Information Science (LIS) as an example. From the perspective of evolutionary event detection, this paper used the Leiden algorithm to detect scientific research communities, and constructed their evolution paths and evolution trees. On this basis, this paper identified the evolution events of scientific research communities, and revealed the evolution modes and evolution characteristics of scientific research communities from three aspects:the overall analysis of the evolution, the evolution paths and the characteristics of the evolution trees, and the statistical characteristics of group evolution events.[Result/conclusion] The research shows that the scale of scientific research communities is developing vigorously, and the evolution trees of scientific research communities present two evolution modes. Most of the evolutionary events of growth type occurred in large communities with a relatively high volume of posts, while both ‘form’ and ‘dissovle’ evolution events occurred in small communities with a relatively high volume of posts. The average community size of evolutionary events such as ‘merge’, ‘partial merge’, ‘split’, and ‘shrink’ is small, and the volume of publications is low. These characteristics further prove that the cooperation and exchanges between scientific research communities tend to be frequent, and the evolution of scientific research communities has become increasingly complex.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Due to the rapid spread and deterioration of public emergencies, emergency management departments need to evaluate the severity of emergencies in real time and establish a scientific early warning mechanism. Microblogging and other social media platforms provide rich clues for the real-time study and judgment of emergencies. [Method/process] This study constructed the severity assessment indexes of emergencies from the dimensions of the netizens’ role, the Internet media’s role, the spread of events, attitudes and feelings of netizens. The methods of analyzing the influence tendency of the emergency severity indexes and comparing the features were put forward. A total of 1 107 308 microblogging entries regarding four social security incidents of "8.24 Yueqing Girl Riding Murder" "5.6 Zhengzhou Stewardess Taxi Murder" "8.27 Kunshan Knife-Cutting Case" in 2018 and "Ctrip Kindergarten Abuse Incident" in 2017 were investigated. [Result/conclusion] The results of the study establish a quantitative classification standard for public emergencies, and provide method guidance and data support for the governments to take emergency management measures in time.
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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