1 Research on Privacy Paradox in Social Network Sites under the Perspective of Construal Level Theory Li He, Yu Lu, Xu Yiming, Xie Mengfan DOI: 10.3772/j.issn.1000-0135.2018.01.001 Recently, users of social network sites (SNS) have serious concerns over privacy problems. However, they continue to share personal information freely on SNS. The contradiction between privacy concerns and self-disclosure behavior has attracted significant attention of a large number of researchers. Under the perspective of construal level theory and combining Privacy Calculus, Trust theory, and Theory of Planned Behavior, we propose a theoretical framework and test its questionnaire survey. We aim to explore the existence of the paradox and attempt to explain the phenomenon. The results indicate that the SNS user’s concerns over privacy problems have a significant effect on people’s distant-future intention only. This low disclosure intention is inconsistent with their actual behavior. Consequently, the SNS users’ privacy concern and disclosure behavior are paradoxical. The perceived benefits affect the people’s behavior through the mediator of near-future intention, which is the dominant factor of disclosure behavior. Furthermore, trust remarkably moderates the negative effect of the privacy concern to the disclosure intention, which results in the insignificant relationship between concerns and behavior. This paper provides theoretical and empirical evidence on the mechanisms of privacy paradox and helps the SNS providers in optimizing their service. 2018 Vol. 37 (1): 1-13 [Abstract] ( 298 ) HTML (1 KB)  PDF (742 KB)  ( 1420 )

14 Evaluating the Scholarly Impact of Institutes Based on the Journal Editorship Index: Empirical Analysis in Geology Lu Xiaoli, Li Jing, Wu Dengsheng DOI: 10.3772/j.issn.1000-0135.2018.01.002 To solve the difficulty in obtaining multidimensional data and the insufficiency of the quantitative and qualitative combination, this paper proposes a Journal Editorship Index (JEI) to assess the scholarly impact of academic institutes based on the journal editorial board data. The editorial board members are responsible in combining an assessment of both quantitative approaches and peer review. The JEI takes into account the influence of the journal rating, editor title, and board size. Experiments are conducted to assess the scholarly impact of geology institutions based on the editorial boards of 111 geology journals (which is comprised of 3811 members) in the Excellence in Research for Australia journal list. The results show that the JEI can well characterize the academic influence of the scientific research institutions. Moreover, the JEI score and editorial board member of the academic institutions in the field of geology show an unequal distribution. The JEI scores have a significant correlation with the number of journal papers, including the total cited times and H indices. The robustness analysis of the evaluation results shows that considering the influence of the factors, such as editorial level, journal grade, and editorial scale, will change the evaluation results. The results also indicate that the different weights of the influence of the factors will generate the same evaluation results. By calculating the correlation between the JEI index and the derived indices, such as JEI/JT, JEI/JR, and JEI/JE, the JEI score of the academic institutes has the greatest impact when the journal rating is considered. 2018 Vol. 37 (1): 14-24 [Abstract] ( 246 ) HTML (1 KB)  PDF (496 KB)  ( 816 )

25 The Function of Punctuation in the Automatic Identification of Chinese Academic Papers Online Zou Yongli, Wang Hao DOI: 10.3772/j.issn.1000-0135.2018.01.003 With the ever-growing numbers of academic papers published online, it is important to explore more efficient ways to identify those papers with general search engines. Aiming at providing ideas for automatic identification of online Chinese academic papers, this essay presents a comparative study of Chinese academic papers and news reports on their use of punctuation. Two corpora were built and analyzed: one comprising 6,906 academic papers and another comprising 16,316 news reports. Comparison of total punctuation numbers, relative usage rate, and average usage numbers between the two types of documents reveal that both similarities and differences exist in the usage of punctuation. Similarities in macro, relative level, and two stable sequences of punctuation usage were discovered, while the differences, which lie in micro and absolute level and independent sample non-parametric tests, show that Chinese academic papers and news reports are significantly different in their use of all 14 kinds of punctuation analyzed in this study. The findings were tested in the NSIRS, a system formerly developed by the authors, to which a punctuation analysis module was added to evaluate the identifying effect of punctuation. Retrieval experiments show that the punctuation characteristics of academic papers do have identifying effects and can be used to improve the retrieval precision of academic articles online. 2018 Vol. 37 (1): 25-30 [Abstract] ( 305 ) HTML (1 KB)  PDF (457 KB)  ( 856 )

31 Study on Informetric Characteristics of CHINA NINE and Other World-Class University Associations Tian Ji, He Xiaowei, Yu Minjie, Shen Lihua DOI: 10.3772/j.issn.1000-0135.2018.01.004 This paper presents a statistical analysis of the informetric characteristics in both intra-university and inter-university association of CHINA NINE (C9) and three other world-class research university associations. The overall profile and major characteristics of these world-class university associations are elucidated. This paper presents the main features of CHINA NINE and revealed the gaps between CHINA NINE and three other top university associations. It concluded that the total number of papers published by the C9 alliance members was impressive. However, the proportion of highly cited papers, international cooperation, and other influence indexes still needs to increase. The h index, Category Normalized Citation Impact (CNCI), Fied-Weighted Citation Impact (FWCI), and other important indicators of academic influence were strongly correlated with scientific research investment, highly cited papers, citation per paper, and total citations. Good research universities showed excellent performances in the field of basic research, engineering applications, and other research fields. 2018 Vol. 37 (1): 31-42 [Abstract] ( 239 ) HTML (1 KB)  PDF (550 KB)  ( 845 )

43 Research on the Framework of Scientific Data Citation Content Analysis for Scientific Data Management Chi Yuzhuo, Wang Yanfei DOI: 10.3772/j.issn.1000-0135.2018.01.005 Scientific data is an important strategic resource, and scientific data management has received extensive attention in academic research and practice. Scientific data management pertains to the utilization of scientific data, and the scientific data requirements can be identified through observation and research of the scientific data uses. This paper discusses relevant research on scientific data citation using the academic achievements of citation content analysis as reference. The citation content analysis framework of scientific data was developed, which divided the importance of scientific data based on the citation functions, and the value of the scientific data and its sources was judged according to their importance. The consistency of the framework was tested by quantitative analysis, and 32 English papers in the field of oceanography were selected as samples to analyze the value and source characteristics of the scientific data in oceanography. 2018 Vol. 37 (1): 43-51 [Abstract] ( 273 ) HTML (1 KB)  PDF (417 KB)  ( 740 )

52 Study on the Common Evaluation Methodology of Patented Economic Value Yang Sisi, Dai Lei, Hao Yi DOI: 10.3772/j.issn.1000-0135.2018.01.006 Economic value evaluates the value of patents in economic view point. Patent value ultimately relies on the application and inspection of the market, including the implementation, license, transfer, pledge, and other different forms. However, the patent application rate is low in our country, which leads to many wasted and unused science and technology developments and the failure to reflect the patent value. To reasonably determine the value of a patent, it is investigated in the field of biochip (patent no. ZL201010157733.8) using the economic value evaluation method of the operation manual of the patent value analysis index system. Based on the patent operational experience in the biological field and the situation and characteristics in the biological industry, seven indicators were selected, namely, patent application, patent application scale, market share, competition situation, the applicability of the policy, the capacity of the patent holder, and patent needs. Detailed analysis was performed to evaluate the level of various patent indicators to determine the economic value reasonably. A set of highly scientific and operable general evaluation methods of patent economic value were summarized according to the research results. 2018 Vol. 37 (1): 52-60 [Abstract] ( 214 ) HTML (1 KB)  PDF (886 KB)  ( 676 )

61 A Method of Event Subject Words Filtering Based on Nonlinear Programming Theory GAO Yingfan, SU Na, ZHANG Yunliang, HAN Hongqi DOI: 10.3772/j.issn.1000-0135.2018.01.007 This paper presents a method of event subject words filtering based on nonlinear programming theory. We identify the boundaries of subject phrases by computing the left and right adjacent entropy. This method can help in selecting more informative phrases as candidate keywords. We counted the frequency of the candidate keywords by searching the original document sets. Some noise words are filtered using this method. Finally, a nonlinear programming theory based function can be used to filter the noisy phrases. The experimental results proved that the method in this paper showed better performance compared with the classical TF-IDF filtering method. 2018 Vol. 37 (1): 61-67 [Abstract] ( 181 ) HTML (1 KB)  PDF (429 KB)  ( 676 )

68 Study of “Human Flesh Search” Efficiency Combining Complex Networks with Agent-based Model Wu Jiang, He Chaocheng, Zhu Hou DOI: 10.3772/j.issn.1000-0135.2018.01.008 This study explores the influence of network topology and its nature on the efficiency of human flesh search. Based on the multi-agent modeling and simulation method, the human flesh search and simulation system is constructed from the micro-level of offline users’ search and online communication. The time cost is considered as the evaluation index of efficiency, and the system is realized based on Python NetworkX. When the average degree is small, the human flesh search efficiency of a free-scale network has obvious advantages. The core nodes of the free-scale network can effectively lower the efficiency. When the reconnection probability of a small-world network equals 0.1, the efficiency is the highest. When the average degree is large, the small-world network shows an advantage. Monotonically increasing or decreasing the average degree shows little influence on efficiency. The influence of the reconnection probability of the small-world network and controlling the core nodes of the free-scale network is not obvious. Based on multi-agent simulation, the human flesh search simulation system simulates the process of netizens’ offline and online search from a micro level. It helps the government and the network platform to use and control the human flesh search phenomenon and achieve a harmonious development of virtual network space. 2018 Vol. 37 (1): 68-75 [Abstract] ( 212 ) HTML (1 KB)  PDF (1359 KB)  ( 627 )

76 Bradford’s Law of Confirmatory Analysis of Social Blog Tag Distribution Ye Guanghui, Xia Lixin, Li Gang, Xu Jian DOI: 10.3772/j.issn.1000-0135.2018.01.009 Bradford’s law is an important rule of thumb to quantitatively determine the degree of interdisciplinary connection and describe the number of distribution of related papers in journals. The empirical rule can still be applied to the distribution of network academic resources, but less research is linked to tag distribution in the social blog. Selecting the social tags in the MetaFilter music section from 2013 to 2016 as an analysis unit, this paper first described the distribution feature of the tag frequency and tag type, and solved the curve fitting equation of the tag frequency distribution. Second, the authors have used the integral function to obtain the boundaries of the high-frequency interval, intermediate frequency interval, and low-frequency interval, and then verified the consistency of the distribution of the tag category in each interval with Bradford's law. Finally, the stability of the tag interval distribution is further verified through the relatively balanced distribution of users and posts related to the tags in each interval and the comparative analysis under different semantic environments. This study can be used to determine and forecast the core nodes of social blogs. 2018 Vol. 37 (1): 76-85 [Abstract] ( 159 ) HTML (1 KB)  PDF (734 KB)  ( 868 )

86 Perception Discrepancy of Information Value on Social Search Platforms: Perspectives of User Satisfaction and Task Complexity Sun Xiaoning, Zhao Yuxiang, Zhu Qinghua DOI: 10.3772/j.issn.1000-0135.2018.01.010 Compared with the traditional Web search, social search provides users with increased convenience. It is more personalized, contextualized, and intelligent both for the search process and results. However, some issues with information value are always great concerns for the healthy development of social search platforms. In this study, we focus on the user-perceived difference of information value in the context of social search from two perspectives—user satisfaction and task complexity—and also conduct quasi-experiments to verify three proposed research hypotheses. Findings reveal the following: ① user perceived difference on information value and user satisfaction are positively correlated; ② variables such as novelty, originality, and enlightening associated with task complexity are positively correlated, while the other 10 indicators show negative correlations; ③ an interaction effect exists between task complexity and user satisfaction on information value, and the results are varied among different indicators. Results yield some implications for explicating users’ personal information needs on social search platforms and betters our understanding of the facilitation of information searching ability and information literacy. 2018 Vol. 37 (1): 86-97 [Abstract] ( 246 ) HTML (1 KB)  PDF (716 KB)  ( 982 )

98 Consistency Detection of Interpersonal Relationship:an Ontology-based Method Yu Juan, Shi Wenjie, Zhu Zhengxiang DOI: 10.3772/j.issn.1000-0135.2018.01.011 In the era of big data, interpersonal relationships play an important role in some management decision-making processes. However, it is impossible for a human to analyze a complex interpersonal relationship network promptly. Therefore, this paper proposes an ontology-based method to detect the consistency of interpersonal relationships automatically. This method first builds an interpersonal relationship ontology using the existing interpersonal relationship data. It then detects and modifies the existing data by checking the correctness of the built ontology. Using an ontology inference engine and some self-defined rules, it detects the consistency of the newly added interpersonal relationship data to examine whether the new data is consistent with the existing data. Experiments show that the proposed method can reason interpersonal relationships deterministically, discover undefined relationships, and detect the consistency of interpersonal relationships automatically. This method has a good potential in supporting the management decision-making processes, which are based on interpersonal relationship reasoning. 2018 Vol. 37 (1): 98-105 [Abstract] ( 251 ) HTML (1 KB)  PDF (394 KB)  ( 662 )

106 The Effects of Prior Salience on Individual Information Processing: An Empirical Study on Controversy Judgment Ma Dandan, Cen Yonghua, Gan Liren, Wu Chengyao DOI: 10.3772/j.issn.1000-0135.2018.01.012 In information processing, individuals systematically prefer information that is consistent with their belief, attitude, and decision, and ignore or devaluate those inconsistent information, which is known as confirmatory information processing. From information sampling perspective, an individual’s prior and prior-consistent information is attached with high salience and is sampled disproportionately by individuals. The more-salient samples are pivotal to judgment and decision-making. An experimental study explores how individuals are holding different prior attitudes sample and evaluate the pro and con messages on a controversial topic. It finds strong evidence of a prior attitude salience. Specifically, in the attitude development process, individuals sample more information from their attitudes, instead of the attitude advocated by a message. In the information evaluation process, the prior attitude significantly affects an individual’s perception of the message attitude, evaluation of the informativeness of the message, and recall of the arguments (including arguments contained in the message and self-generated arguments). However, when the participants are free to select which message to read, the presentation order of the messages, rather than the prior attitudes, affects the selection behavior. The present study enriches our understanding of the biased information processing. It also has practical implications for real decision-making scenarios, such as persuasion and marketing, public opinion, and scientific knowledge communication. 2018 Vol. 37 (1): 106-120 [Abstract] ( 216 ) HTML (1 KB)  PDF (518 KB)  ( 787 )