881 Analysis of the Laws of International Authoritative Awards in Main Science and Technology Fields and Their Driving Factors Hot! Ren Xiaoya, Zhang Zhiqiang DOI: 10.3772/j.issn.1000-0135.2019.09.001 International authoritative awards within Science and Technology (S&T) fields are one of the significant indicators that measure the knowledge innovation level in the fields of science and technology. In order to have an objective and systematic cognition of the overall international awards within S&T fields, we attempt to select the 22 most representative international prizes within the main fields by taking the subject area, year of the award, nationalities and institutions of the winners, award-winning achievements and winners' genealogy, and their publications as research dimensions. This paper principally analyzes the distribution of countries and the fields of the winners starting from the first laureate of that prize. Furthermore, in order to conduct an in-depth discussion of the internal mechanisms, we longitudinally compare the performance of major S&T award-winning countries in other typical scientific and technological indicators. Our results are as follows: (1) Major international S&T prizes are typically distributed to the main science and technology powers (the United States, the United Kingdom, Germany, France, Japan, etc.): the US has won an overwhelming quantity; (2) Compared with the aforementioned countries, China has performed poorly when considering the number of award-winners and award-winning fields; (3) China has made great progress in other representative scientific and technological indicators, but the main award winning countries show a clear lead. Finally, based on the major S&T prizes award mechanism and quantitative results, we put forward specific suggestions for Chinese decision-making and strategic layout of innovative research in related S&T fields. 2019 Vol. 38 (9): 881-893 [Abstract] ( 265 ) HTML (137 KB)  PDF (3131 KB)  ( 621 )

894 Laws Governing Outstanding ScientistsResearch Output: The Example of Lasker Award Winners Hot! Ren Xiaoya, Zhang Zhiqiang, Chen Yunwei DOI: 10.3772/j.issn.1000-0135.2019.09.002 Important scientific breakthroughs are inseparable from the accumulation and inheritance of scientific knowledge and academic thoughts. Understanding the general laws of outstanding scientistsresearch output in their respective fields will not only help researchers grasp the main development trends and characteristics of relevant disciplines, but also help decision-makers understand the laws of scientific development in pertinent disciplines and improve management funding policies and mechanisms. In order to establish a theoretical model, this paper uses qualitative and quantitative cluster analysis as research methods. Using 319 scientists who won the Lasker Medical Research Awards in the field of biomedicine as representative samples, we obtained 31 095 articles, after data preprocessing. The research theme was extracted by LDA topic model, after which we conducted co-occurrence network analysis on the semantic level to find the general laws of outstanding scientists' research output within biomedicine. The article summarizes the laws in qualitative clustering of award-winning achievements, main research topics distribution, award-winning age trends, and publications distribution of outstanding scientists within the field of biomedical science. 2019 Vol. 38 (9): 894-906 [Abstract] ( 220 ) HTML (100 KB)  PDF (6328 KB)  ( 729 )

907 Research on the Nobel Prize in Science Based on Institutional Attributes Hot! Men Weili, Zhang Zhiqiang DOI: 10.3772/j.issn.1000-0135.2019.09.003 The Nobel Prize in Science is an international science and technology award of the highest academic authority, the longest time series, and the greatest international impact of achievements and a large mumber of winners in modern science and technology awards. We conducted an in-depth analysis of Nobel Prize data to help reveal the potential laws of scientific and technological development. The study systematically collected and analyzed information on Nobel Prize for Science award-winning institutions in 1901 and 2018. On the basis of the features of institutions, we divided winning organizations into five categories: universities; research institutes or laboratories; foundations; enterprises or companies; and hospitals or clinics. Through a detailed statistical analysis, the following conclusions were reached. It was thought that award-winning institutions were highly concentrated in universities and research institutes, but the major winners such as the United States, Britain, Germany, and France presented different characteristics; the age-changing trends of the winners based on the attributes of different award-winning institutions showed disciplinary differences, and the Nobel Prize in Physics presented obvious characteristics. The winners of the Nobel Prize in Science, the age of major achievements, and the time lag of awards all showed similar trends, but the winners of different award-winning institutions in the same discipline showed different trends; the phenomenon of researchers belonging to multiple institutions promoted academic exchange and cooperation across institutions, and the major award-winning institutions and countries. Finally, the study suggested that China will rank at the forefront of innovative countries and the world s strongest countries in science and technology only if it focuses on building a strong foundation in basic scientific research. Four suggestions were put forward. 2019 Vol. 38 (9): 907-920 [Abstract] ( 215 ) HTML (214 KB)  PDF (1222 KB)  ( 863 )

921 Identification of Key Influencing Factors of Value Flow in the Business Network Information Ecological Chain Hot! Ren Liang, Zhang Haitao, Liu Yashu, Li Tiyin DOI: 10.3772/j.issn.1000-0135.2019.09.004 Value of collaborative creation and orderly flowing of business network information ecological chain is the key to maximizing the value of e-commerce. Identifying the key influencing factors of value flow not only enriches the relevant theoretical system but also provides reference for the operation of business websites in practice. By applying relevant theories to construct the value flow model of the business network information ecological chain, the influencing factors are determined based on the perspective of four-stream e-commerce. Nine key influencing factors are identified using the fuzzy set theory DEMATEL method, and the mechanism model of value flow is constructed. The key to optimizing the value flow is verified as the collaborative operation between subjects, the integration of information capabilities, and the orderly flow of funds. 2019 Vol. 38 (9): 921-931 [Abstract] ( 279 ) HTML (129 KB)  PDF (2208 KB)  ( 559 )

932 Research on the Evolutionary Game of the Business Network Information Ecological Chain Co-Creation of Value Hot! Liu Yashu, Zhang Haitao, Ren Liang, Li Tiyin DOI: 10.3772/j.issn.1000-0135.2019.09.005 To ensure the stable and healthy development of the value creation of the business network information ecological chain, it is necessary to solve the short-term phenomenon of the collaborative value creation behavior of the main actor in the process of value creation effectively. It is also necessary to synthesize a variety of key influencing factors and examine the behavior strategy tendency and evolution path change of the main actor. Under limited reason conditions, analyze the strategic choice of the actor in the process of value creation based on evolution game model. Python is used to simulate the evolution path of collaborative value creation of business websites/distributors and consumers when various influencing factors change. The strong degree of consumer participation, good brand image of business websites/distributors, government led promotion effect of external environmental factors, and model of distribution according to the contribution degree can enhance “business websites-consumers” value creators’ cooperation intention and effectively stimulate enthusiasm for cooperation. Finally, according to the key influencing factors, some suggestions are put forward to promote the coordinated creation and stable development of the value of the business network information ecological chain. 2019 Vol. 38 (9): 932-942 [Abstract] ( 263 ) HTML (102 KB)  PDF (3148 KB)  ( 484 )

943 The Relationship between Cultural Capital and the Academic Impact of Journal Articles Hot! Xie Juan, Cheng Ying, Li Jiang, Lyu Dongqing DOI: 10.3772/j.issn.1000-0135.2019.09.006 The relationship between cultural capital and publication impact has not received significant research interest. Journal articles are one form of publication. This study aims to examine whether cultural capital can promote the academic impact of articles. On the basis of article- and author-related data, this study tests the relationship between the cultural capital and academic impact of articles, from embodied, objectified, and institutionalized perspectives. The study results indicate that these three types of cultural capitals exert positive effects on the academic impact of articles, and these effects are reflected by scholars’ educational background, previous productivity, and academic degree. Cultural capital can increase the impact of academic articles by promoting their quality and contributing to the reputation of their authors. 2019 Vol. 38 (9): 943-953 [Abstract] ( 246 ) HTML (153 KB)  PDF (735 KB)  ( 683 )

954 Social Trust, Rational Behavior, and Government MicroblogsDissemination: An Empirical Analysis Based on Text Mining Hot! Feng Xiaodong, Ma Jie, Jiang Guoyin DOI: 10.3772/j.issn.1000-0135.2019.09.007 Social media, represented by government microblogs, has gradually become a new channel for the government to provide public services and communicate with the public, and mining the behavioral characteristics of public online information dissemination helps to deliver the most precise service in the context of the Internet and the management of the public opinion of the network. The paper, using the theory of social capital and rational behavior, proposes a novel model to explain the dissemination effect of government microblogs from the perspective of public behavior and online sentiment. It tries to break through traditional research that is limited to studying this problem only from the perspectives of microblog posts and publishers’ features. We also utilize a technical method based on text mining to measure the interest and sentiment of a user and how closely a government post matches those qualities. Using a dataset collected from the Sina microblog platform, along with statistical analysis and predictive modeling methods, the influences of different features on the microblog government dissemination effects are examined. We find that measuring public trust based on its sentiment orientation on the topic of government microblogs has bigger explanatory power and predictive capability than other methods. 2019 Vol. 38 (9): 954-965 [Abstract] ( 196 ) HTML (183 KB)  PDF (1446 KB)  ( 959 )

966 Construction and Simulation of the Transmission Model of Scientific Literature Dissemination Networks Based on the Perspective of Knowledge Evolution Hot! Wang Yuefen, Ding Yufei DOI: 10.3772/j.issn.1000-0135.2019.09.008 In order to reveal the essence of the process of scientific literature dissemination and analyze the dynamic mechanism of scientific development, this paper introduces the theory of knowledge evolution and uses the methods of probability statistics, complex network analysis, and simulation experiments, as well as research on scientific literature dissemination networks. First, it expounds on the main contents of the theory of knowledge evolution and analyzes the representation of knowledge evolution phenomena in scientific literature dissemination; second, it employs a network transmission model of scientific literature dissemination constructed based on knowledge evolution; and last, the validity and feasibility of the model are verified by simulation experiments. It is found that there is a hidden knowledge evolution phenomenon, as well as attribute characteristics and evolutionary behaviors, in scientific literature dissemination networks. The results reflect the state and laws of scientific literature dissemination. 2019 Vol. 38 (9): 966-973 [Abstract] ( 289 ) HTML (110 KB)  PDF (895 KB)  ( 501 )

974 A Relationship Strength Calculation Method Based on the Relationship Circle and Individual Interaction Habits Hot! Ju Chunhua, Tao Wanqiong, Ma Xi ao DOI: 10.3772/j.issn.1000-0135.2019.09.009 Most studies on the strength of relationships between users of online social networks only consider the profile information and interaction activities of individual users. However, the relationship circle and individual interaction behavior are vital for computing the strength of the relationships. In this study, we propose a user relationship strength calculation method (IRC-IH) by considering the relationship circle and individual interaction behavior. Specifically, we first divide the users into different relationship circles by using the complete sub-graph-based relationship circle division algorithm. We then determine the topic activity of each relationship circle by computing the relatedness between the relationship circle and topic activity based on the standardized Google distance. Moreover, we compute the strength of the interaction activities by combing interaction habits and interaction frequency. Finally, we arrive at the user relationship strength by fusing the overlap rate of the relationship circle, the relationship circle similarity, interaction activity factor, and public account similarity. The experimental results show that the proposed method can effectively improve the accuracy of the relationship strength calculation. 2019 Vol. 38 (9): 974-987 [Abstract] ( 182 ) HTML (181 KB)  PDF (3492 KB)  ( 722 )

988 Current Situation and Thoughts about Future Developments of Information Science in China Hot! Chen Fen, Su Xinning DOI: 10.3772/j.issn.1000-0135.2019.09.010 The introduction of the reform and opening-up policy has led to significant progress in information science in China. This paper reviews the current situation of information science, introduces the discipline system, and examines the hotspots and discipline integration in this field. The primary problems, including weak theoretical foundation, lack of impact on social development and national security, and insufficient intelligence work, are also analyzed in this paper. Suggestions for the future development of information science in China are also considered, which include the construction of a theoretical system, development path, and strategies for promoting the status of information science. 2019 Vol. 38 (9): 988-996 [Abstract] ( 832 ) HTML (101 KB)  PDF (1227 KB)  ( 796 )