771 Intelligence Studies for Innovation in the New Era Hot! Dai Guoqiang DOI: 10.3772/j.issn.1000-0135.2019.08.001 China has become a major player in the global race for innovation as it is considered one of the primary driving forces for development, giving rise to new tasks for scientific and technical (S&T) intelligence services. The transition of S&T intelligence to innovation intelligence is not only required for economic transformation and social reform but also a necessary measure for S&T intelligence providers to adapt to new trends proactively. This article proposes that the development of new ideas with the priority of sensing and sense making of the unknown knowledge world is needed for the S&T providers in the future. S&T intelligence services must adapt to changes in the economy and society at large and be redesigned with the development of new ideas; intelligence engineering is an efficient approach for achieving this. In this article, several projects from the Institute of Scientific and Technical Information of China are introduced as case studies for such development idea. 2019 Vol. 38 (8): 771-777 [Abstract] ( 201 ) HTML (55 KB)  PDF (656 KB)  ( 838 )

778 Application Value of Competitive Intelligence Research Based on a Double-Visual Group Model Hot! Zhou Xinyu, Ma Xiaoqi DOI: 10.3772/j.issn.1000-0135.2019.08.002 In order to demonstrate the value of the advanced application of competitive intelligence, this paper proposes a dual-view group model. Firstly, based on the micro/macro relativity and static/dynamic absolute value of competitive intelligence, the Theory of Planning Behavior (TPB), the Graph Model for Conflict Resolution (GMCR), and the Porter Diamond model, which have similar perspectives and analytical processes, are selected as the components of the dual-view group model. Secondly, through the combination of the mechanisms of competitive behavior stated by TPB and empirical information, the behavioral preferences of decision-makers in competitive events are evaluated, and GMCR simulation is used to predict the state evolution under specific conditions, which provides policy references for participants. Then, by comparing the final state with the expectations of the research objectives, the Porter Diamond model is used to formulate a strategic policy to cultivate the core competitiveness of the decision-makers. In the empirical analysis, the author uses this method to realize competitive prediction and scientific decision-making, which have a high degree of agreement with the actual situation. Therefore, the group model can be used to show the value of competitive intelligence to advance the application. 2019 Vol. 38 (8): 778-785 [Abstract] ( 208 ) HTML (89 KB)  PDF (991 KB)  ( 428 )

786 Definitionand Quantification Methods of Citation Takeoff Hot! Zhang Jingwen, Sun Jianjun, Min Chao DOI: 10.3772/j.issn.1000-0135.2019.08.003 During the dynamic process of citation, citation takeoff indicates a turning point in the recognition of academic achievements. Based on previous work, this paper makes a further exploration of the citation takeoff. Five quantitative methods that can be used for “takeoff”-the Artificial Parameters method, the Annual Citation Growth Amount K, the Annual Citation Growth Rate Kr, the Annual Averaged Cited Growth M, and the Annual Average Cited Growth Rate Mr - have been proposed. American Physical Society (APS) citation data were chosen, and the citation curve was divided into four categories by the citation speed to identify the citation takeoff. Finally, the advantages and disadvantages of each method are compared from the perspectives of recognition effect and accuracy, and detailed usage instructions are given. Though the Artificial Parameters method can accurately identify the time-point of “takeoff” and the second or multiple “takeoffs” in the citation curve, it cannot recognize all types of citations, especially in “flash in the pan” literature, which has a low recognition rate. The “delayed recognition” and “spur with long accumulation” literature can be identified by the combination of the Artificial Parameters method and the Annual Citation Growth Rate Kr, while the Annual Average Cited Growth Rate Mr has high accuracy in “leading edge” and “?ash in the pan” literature. 2019 Vol. 38 (8): 786-797 [Abstract] ( 306 ) HTML (192 KB)  PDF (2752 KB)  ( 670 )

798 Research on Evolutionary Topic Map of Internet Public Opinion with Multi-dimensional Feature Fusion Hot! Liu Yashu, Zhang Haitao, Xu Hailing, Wei Ping DOI: 10.3772/j.issn.1000-0135.2019.08.004 Exploring changes in opinions of Internet users in the event of sudden public opinion and grasping the development process of public opinion events hold great significance for exploring the development direction of the events and to do a good job in guiding the network public opinion in the new period. Based on the knowledge map method, this paper constructs a public opinion map of specific public opinion comments and uses the LDA theme method to divide the topic attributes of the entities on the map and extract these topic and time attributes, tracking the evolution of topics in an all-round way with multidimensional feature fusion analysis. The public opinion map constructed in this paper can effectively identify the content of the topic under discussion among Internet users and accurately track the evolution of the topic. The map plays a major role in dynamically tracking the opinions of Internet users and understanding the direction of public opinion events. The development process of public opinion events can be divided into three stages: incubation period, outbreak period, and recession period, according to the discussion scale of netizens. The discussion content at each stage is constantly fluctuating. 2019 Vol. 38 (8): 798-806 [Abstract] ( 284 ) HTML (72 KB)  PDF (2313 KB)  ( 1182 )

807 Main Path Analysis: A Citation Path Superposition Approach Hot! Liu Xiang, Wan Xiaoping, Yan Xiaoting, Wang Jinxia DOI: 10.3772/j.issn.1000-0135.2019.08.005 The main path analysis method is used to analyze the problems of insufficient coverage of key literature and more non-key literature occurring in the main path. In this paper, we propose a new main path discovery method based on the citation path superposition. This paper considers that there is a hidden research path in the reference of each piece of literature and that a large number of such research paths in a given field are superimposed to form the path network in it. The paths with the most overlap times constitute the main path in the field and are then extracted by the local search and global search methods. The effectiveness of this method is demonstrated by the patent application in the field of superconducting materials. 2019 Vol. 38 (8): 807-814 [Abstract] ( 436 ) HTML (65 KB)  PDF (1272 KB)  ( 669 )

815 The Scholarly Impact of Preprints: A Case Study on arXiv Papers Hot! Chen Yue, Wang Zhiqi, Liu Zeyuan, Tan Jianguo DOI: 10.3772/j.issn.1000-0135.2019.08.006 This paper makes a bibliometric analysis, comparing the scholarly impact of journal papers published in the same journal with or without a preprint version deposited in arXiv (arXiv papers). Based on the arXiv papers published in journals indexed in Web of Science and assigned to Information Science & Library Science (LIS) and the field of robotics respectively, this paper explores the effect of preprints on the scholarly impact of journal papers across two fields from four perspectives: “increasing trend”, “time lag”, “citation advantage”, and “citation trend”. The results show that the amount of arXiv papers is increasing indicating that most authors prefer to publish a pre-print in a journal or submit a post-print to arXiv within two years before or after its corresponding journal printed-publication time. Papers deposited in arXiv have an obvious citation advantage compared with non-arXiv papers published in the same journal; the average citation increases rapidly after the post-prints are deposited in arXiv. 2019 Vol. 38 (8): 815-825 [Abstract] ( 234 ) HTML (134 KB)  PDF (1405 KB)  ( 779 )

826 Adaptive Computing Method for the Determination of Scientific and Technological Innovation Indicators Based on a Knowledge Graph Hot! Liu Zhihui, Wei Juanxia, Zhang Junsheng DOI: 10.3772/j.issn.1000-0135.2019.08.007 Based on practices in decision-making, diverse schools of thought about innovation provide multiple theoretical perspectives, while big data allows the process to be data-driven. Both approaches have advanced the field of evidence-based policy making (EBPM) oriented data analytics. A knowledge graph for science and technology (S&T) decision-making is proposed based on knowledge organization that interrelates three elements for S&T decision-making. These elements include theories in the form of indicators, data as the input, and visualization as the output. The schema of the knowledge graph proposed in this research defines the classes and their attributes in three different layers (indicator, data, and visualization), under which the interrelationship of different elements is formed and inferred to provide the function of adaptive computation for decision-making. The application of the schema in the GII (global innovation index) and MSTI (main science and technology indicators) description demonstrates the validity of the proposed method in the scenario of innovation mapping and evaluation. 2019 Vol. 38 (8): 826-837 [Abstract] ( 336 ) HTML (107 KB)  PDF (5281 KB)  ( 602 )

838 Ability of Users in Different Age Groups to Screen Health Information in Social Media Hot! Zhang Xiu, Li Yuelin DOI: 10.3772/j.issn.1000-0135.2019.08.008 Based on the List of Fake Health Information Features (FHIF) developed in the prior study, this study explores the ability of people of different ages to screen health information in social media. It examines the effectiveness of the list in helping users of different ages improve their ability to identify fake health information in social media. It also investigates what factors affect their screening abilities. An experiment was conducted with users from different age groups, including 44 young people, 67 middle-aged users, and 39 seniors. T tests and ANOVA tests were performed to analyze the data. The study indicates that young people are better than middle-aged people and senior citizens at identifying fake health information. Gender, region, and the degree of their attention to health information significantly affect their ability to judge the veracity of health information. The results also indicate that the List is useful for young and middle-aged people but not for seniors. Some methods are proposed and discussed to improve seniorshealth information literacy. The study has implications for health information literacy education. 2019 Vol. 38 (8): 838-848 [Abstract] ( 374 ) HTML (170 KB)  PDF (894 KB)  ( 907 )

849 Research on the Storage of Product Classification Ontologies Based on Graph Databases Hot! Huang Qi, Qian Yunjie, Yuan Qinjian, Lu Jiaying DOI: 10.3772/j.issn.1000-0135.2019.08.009 With the help of relational concept analysis, this paper proposes a storage implementation of product classification ontology based on graph databases. This study then uses GPC as an example and Neo4j as the tool to demonstrate the storage of the product classification ontology. Finally, by designing the query experiment, the validity and efficiency of the proposed method are verified, and a series of valuable conclusions are drawn. 2019 Vol. 38 (8): 849-859 [Abstract] ( 189 ) HTML (118 KB)  PDF (5051 KB)  ( 633 )

860 Keyword-Based Clustering Ensembles in Academic Documents Hot! Zhang Yingyi, Zhang Chengzhi, Chen Guo DOI: 10.3772/j.issn.1000-0135.2019.08.010 Clustering is an unsupervised, efficient method of classifying articles. Keyphrases are regarded as the main content of articles, and clustering according to keyphrases is an effective method of performing a text clustering task. However, studies of publication clustering utilize only the clustering algorithms. To date, several methods have had been proposed to improve the performance of clustering, and ensemble clustering is one of them. Thus, based on the concept of ensemble clustering, this paper details a study of keyphrase-based publication clustering. To analyze whether ensemble clustering is an efficient method of publication clustering, this paper compares the performance of ensemble clustering with clustering without ensemble learning. Moreover, to analyze the impact of keyphrases on ensemble clustering, this paper compares the results of various keyphrase extraction methods and various keyphrase quantities based on publication clustering. The experimental results show that ensemble clustering can improve the performance of publication clustering. Publication clustering also yields a better result when the TextRank algorithm is used for extracting keyphrases. The performance also improves when provided with more keyphrases. 2019 Vol. 38 (8): 860-871 [Abstract] ( 194 ) HTML (291 KB)  PDF (1207 KB)  ( 1172 )

872 Research Review of Frontier Detection Methods in Subject Fields Hot! Huang Xiaobin, Wu Gao DOI: 10.3772/j.issn.1000-0135.2019.08.011 First the article introduces the related concepts of research fronts, then it divides the detection methods of subject research fronts into three types: detection methods based on the reference relationship (co-citation analysis, bibliographic coupling analysis, and direct citation analysis), detection methods based on text content (word frequency analysis, co-word analysis, and topic model analysis), and detection methods based on the complex relationship. The development, application cases, and effects of each detection method are also reviewed. Finally, the defects of different types of frontier detection methods are summarized and their future trends in development and direction are predicted. 2019 Vol. 38 (8): 872-880 [Abstract] ( 346 ) HTML (124 KB)  PDF (714 KB)  ( 1001 )