［Purpose/Significance］Intelligence ethics has been around for a long time,but its application is very limited.It is expected that this research can refocus on and turn our mind back to the academic and practical community to the intelligence ethics,and form a correct and systematic cognition of intelligence ethics and its significance,so as to enhance the morality of intelligence work itself.［Method/Process］This paper used the speculative method and literature method to take main ethical problems in the intelligence activities as the origin of the problem,introduced the definition of intelligence ethics and clarified the relationship between intelligence ethics and related concepts based on summarizing people's cognition of the intelligence ethics,then discussed the significance of intelligence ethics on intelligence work practice.［Result/Conclusion］Intelligence ethics agent can protect the intelligence work,intelligence ethics is beneficial to achieve a better balance between national security and human rights,and can prevent and avoid the influence of unethical intelligence.Intelligence ethics provides moral bottom line for all intelligence work and can improve the standardization of intelligence work.

［Purpose/Significance］Through the investigation and analysis of the current situation of open sharing of public data resources in the process of urban digital transformation,the purpose is to promote the efficient,open and reasonable sharing of public data,fully release the data value and help the development of digital transformation.［Method/Process］Top ten cities in the data open sharing index were selected as the research sample,and the current situation of public data open platforms in 10 cities was investigated by using website statistics and content analysis.［Results/Conclusion］It is found that in the process of urban digital transformation,the effect of public data opening and sharing needs to be improved,and there are some obstacles,such as imperfect policies and regulations,weak awareness of subject governance,insufficient degree of data opening and sharing,etc.In this regard,the open sharing mechanism of public data resources is constructed from the aspects of top-level guidance,collaborative governance,platform construction and technology empowerment.

［Purpose/Significance］This paper deeply explore the relationship between open source movement and open source intelligence,and integrate the open source spirit into the theoretical and practical research of open source intelligence,in order to make open source intelligence more in line with the needs of social development and security.［Method/Process］Firstly,this paper combed the development process and essence of the open source movement by using the historical literature method,condensed the open source spirit,and then explored the impact of open source spirit on the reform of open source intelligence in terms of intelligence core,service object,intelligence personnel,intelligence structure and intelligence methods.Finally,this paper constructed two open source intelligence development models:Pull-request development model and crowdsourcing production model combined with the existing open source models.［Result/Conclusion］The"open source"in open source intelligence is transformed from the disclosure of information sources to the openness of personnel,processes and achievements based on the spirit of open source,and application models are developed to build a shared and collaborative open source intelligence work system in a secure environment,so as to realize the coordinated innovation of open source intelligence theory and practice.

［Purposes/Significance］The key and difficult point during the period when identifying emergent characteristics of topic in discipline is to disclose growing trend in potentially.［Method/Process］The topic's growth was investigated from two aspects of hotness and influence,and the extent to which topics grow up was estimated by using machine-learning algorithm as predicting model.Based on this,emerging topics were classified into different sub-categories.Firstly,hotness index that combines bibliometric indicator and altmetric indicator was designed,and then a prediction model that use LSTM to predict the extent to which hotness index increase was established.Secondly,another prediction model that has three-layer neural network and can predict newly occurred link in future between two topics based on the similarity index from weighted link prediction was proposed.Based on those,PageRank algorithm was used to estimate influence of a topic embedded in the network we had predicted.Finally,a comprehensive method was offered to discern different types of emergent topic.The method constructed a two-dimensional recognition space,using the growth indicators including hotness and influence,to conduct clustering analysis on topics.［Result/Conclusion］The paper conducted an empirical study with the samples from the discipline of information science,which successfully confirmed the effectiveness of our proposed method.Results illustrated that those index for growth prediction are sensitive enough to emergency.

［Purpose/Significance］Emerging technology topic indicates the future trend and direction of scientific and technological innovation.Identifying emerging technology topics is crucial to the optimal deployment of innovation resources and the promotion of international competitive advantage.For the shortcomings of current research,the paper proposes an emerging technology topic recognition model based on technical feature similarity.［Method/Process］Firstly,the technical feature information in the patent data was extracted to reduce the interference of noise content;Secondly,the feature vector model was constructed based on the existing technical content to distinguish the semantic relationship between different technical attributes;Thirdly,the technology feature vector model and clustering algorithm were fused to achieve the purpose of identifying emerging technology topics in multi-dimensional;Finally,taking the field of biotechnology as an example,the accuracy and effectiveness of the model were verified by comparative analysis.［Result/Conclusion］The research ideas and research methods of new technology theme recognition are expanded.

［Purpose/Significance］PageRank is a generally accepted and widely used ranking algorithm,which identifies important nodes in the network by passing PR values between nodes.Aiming at the problem of the PageRank algorithm's neglect of the connection strength and influence strength between nodes,the TransRank algorithm is proposed to mine high-impact nodes more effectively.［Method/Process］The TransRank algorithm used node similarity to measure the connection strength,and then matched the relationship between the connection strength and the influence strength based on the weak tie theory,and used the influence strength as the basis for value transmission.［Result/Conclusion］Through SI infection experiments in three real networks,the optimization effect of the TransRank algorithm is tested.The results show that the high-impact nodes mined by the TransRank algorithm are always better than the PageRank algorithm in terms of impact speed,and are likely to be better than the PageRank algorithm in terms of impact range.

［Purpose/Significance］The frame and type of information are crucial to health communication,and also have a direct impact on individual health behavior decisions.However,few studies have focused on the interaction of different information.［Method/Process］The study conducted a 2 (gain-framed messages vs.loss-framed messages) ×2 (statistical evidence vs.narrative evidence)quasi-experimental design built upon theories of message framing and evidence type,to study the individual and interactive effect on attitude,intention and health belief on HPV vaccination among college students.［Result/Conclusion］The results(N=260) indicate that(1)Loss-framed messages will lead to a more favorable attitude and intention towards HPV vaccination than gain-framed messages.Statistical evidence will lead to a more favorable attitude and intention towards HPV vaccination than narrative evidence.(2)Message framing and evidence type will interact and(a)for statistical evidence,loss-framed messages will lead to a more favorable attitude,free-intention,health beliefs towards HPV vaccination than gain-framed messages and(b)for narrative evidence,gain-framed messages will lead to a more favorable attitude,free-intention,health beliefs towards HPV vaccination than loss-framed messages.Relevant conclusions have some reference value for theoretical development and practical guidance.

［Purpose/Significance］This paper explores the factors that influence the use of APP of cultural heritage digital display platform,aiming to make theoretical and practical contributions to the development of cultural heritage public display platforms and the construction of smart resources.［Method/Process］Through the analysis of the core elements and characteristics of APP of the digital display platform of cultural heritage,introducing the theory of communication ecology,the study constructed an integrated model of user behavior in the context of digital display platform of cultural heritage from the aspects of content,technology and society.Then,the data were collected through situational questionnaires,and the model was analyzed and verified by partial least squares method.［Result/Conclusion］The results show that user behavior is related to the content,social and technological factors in the platform,and is related to the"brand"of the platform developer.This paper enriches the theoretical basis of user participation behavior of cultural heritage digital display platform,and provides corresponding suggestions for the management and design of related cultural heritage platforms.

［Purpose/Significance］In order to realize the quantitative,large-scale and modular identification of emerging technology competitive intelligence in the regional scientific and technological innovation environment,build an emerging technology competitive intelligence identification framework for regional scientific and technological innovation,and provide theoretical framework support and method reference for the research and practice of emerging technology competitive intelligence identification.［Method/Process］The paper designed the identification index system of regional science and technology innovation emerging technology,which included patent index and regional innovation index,to make up for the lack of applicability of the existing identification index in the face of regional science and technology innovation environment;The LDA topic model and critical method were used to extract the candidate emerging technology topics and calculate the comprehensive score of emerging technology.On this basis,the emerging technology competitive intelligence identification framework for regional scientific and technological innovation was constructed.［Results/Conclusion］Taking patents in the field of image retrieval as the empirical object,the empirical results show that the recognition framework can effectively identify emerging technologies and provide emerging technology competitive intelligence support for regional scientific and technological innovation entities.

［Purpose/Significance］Carrying out the research on military civilian integration development under the regional coordinated development strategy is not only of theoretical significance to promote the innovation of national development strategy,but also of great practical significance to promote the realization of China's"two centenary"goals.［Method/Process］Based on the analysis of the mechanism of regional coordinated development promoting the development of military civilian integration,the paper constructed an evaluation index system of military civilian integration development at the regional level,and used the entropy method to calculate the development level of military civilian integration in 31 provinces and cities in China.［Results/Conclusion］This paper identifies the key areas of China's military civilian integration development.It is concluded that in the process of promoting the development of military civilian integration,the key regions in China are mainly faced with the difficulties of military industry and technology upgrading,as well as the difficulties of coordinated development between"Military"and"civilian"systems.This paper further puts forward the future direction of military civilian integration in key regions of China.

［Purpose/Significance］To compare the differences between China and western developed countries in the development of this discipline and to provide a reference for the development of library intelligence in China,the current status of literature aging of mainstream journals in library intelligence at home and abroad was studied.［Method/Process］The papers published in 52 foreign language journals of library intelligence included in SSCI and 18 library intelligence journals in the 18th edition of the CSSCI source journal catalog from 2017 to 2019 were used as the research objects.The aging pattern of Chinese and foreign literature in library intelligence was analyzed by comparing quantitative indicators such as citation half-life,price index,and maximum citation years.By comparing the negative exponential model and Barnett model,a citation time distribution function with a better fitting effect was derived.［Method/Process］The results show that the citation age curves of Chinese and foreign library intelligence are consistent with the literature aging law,and the aging rate in China is faster compared with that in foreign countries,where the discipline has entered a relatively mature stage,while the domestic discipline is in rapid development.

［Purpose/Significance］From the perspective of comprehensive cross-disciplinary indicators and three single-dimensional indicators of variety,balance and difference,we will explore the relationship between the interdisciplinary and knowledge diffusion of papers,providing a reference for the discipline layout cited in the paper,promoting the degree of knowledge diffusion of papers,and enhancing the influence of papers.［Method/Process］Papers in the field of genetic engineering from 2000 to 2018 in Web of Science database were selected to explore the relationship between interdisciplinary indicators and knowledge diffusion indicators from multiple dimensions by using Tobit regression model.［Result/Conclusion］The indicators of interdisciplinary and knowledge diffusion basically show a U-shaped or inverted U-shaped relationship.There is an optimal value for the influence of interdisciplinary interaction on knowledge diffusion.The subject types,disparity degree and balance degree of references need to be adjusted properly so as to improve the degree of knowledge diffusion in the field of genetic engineering.

［Purpose/Significance］With the development of higher education,world university rankings have become an important reference tool to evaluate the scientific research performance of universities,understand the development of universities,and fill in the college entrance examination voluntary schools.［Method/Process］Based on altmetrics,the paper adopted 5 network platforms of Weibo,WeChat Official Account,Headline,Baidu baike and ScienceNet to obtain the data of altmetrics indicators,and to evaluate the influence of 15 world university rankings in China.At the same time,this paper analyzed the correlation between altmetrics indicators and bibliometrics indicators of the research papers related to university rankings,and compared similarities and differences of university rankings in the evaluation of social media and scientific research influence.［Result/Conclusion］Baidu baike and Weibo show deeper influence;At present,the recognition degree of domestic groups for the ranking is relatively fixed,and presents a fault;Altmetrics indicators can be applied to the impact evaluation of university rankings to a certain extent,providing a new perspective for ranking evaluation.

［Purpose/Significance］The purpose of this study is to help the academic community deeply understand the application and development of conservation of resources theory in information system discipline.［Method/Process］After introducing the origin and evolution of this theory,by searching and coming the relevant literature,this paper summerized the achievements,limitations and future research directions of current research.［Results /Conclusions］It is found that the application of conservation of resource theory in information system discipline mainly focuses on four research aspects:the influence of techno-stress research,social media use behavior research,knowledge sharing behavior research and knowledge hiding behavior research.In addition,it is found that existing studies remain some limitations such as"insufficient attention to how to alleviate the negative results caused by stress","insufficient attention to material,individual characteristics,conditions and other types of resources",and"insufficient attention to other scenarios away from work".Exploring the mechanisms to relieve stress,expanding focused resource categories and research scenarios,and exploring the flow mechanism of resource among individuals in organizations,etc.are the directions of concern for the future study.

［Purpose/Significance］This study aims to help scholars clarify the development process of social learning theory and its application in the field of information system,and fill the lack of domestic research on the application of social learning theory in the field of information system.［Method/Process］By concluding a detailed literature review of researches based on social learning theory,this study summarized the application results of this theory in information system research and discussed the limitations of the current research and the future research direction.［Results /Conclusions］The application of social learning theory in information system research mainly includes four aspects:the design and optimization of information system,the participation and sustainable use of information system users,consumers' purchase intention,and the influencing factors of cyber crime;At the same time,there are some problems in the current research,such as ignoring the dynamics of information system,lack of subdivision of information system categories,lack of research on subject self-regulation behavior,few research situations and single empirical research methods.Future research can make progress in these aspects.

［Purpose/Significance］The propose of this study is to help the academic community fully understand the development and application of information adoption theory,and provide suggestions for the follow-up research and application.［Method/Process］By reviewing the relevant literature based on information adoption theory at home and abroad,this paper summarized the evolution of information adoption theory and current research results,and discussed existing shortcomings and future research directions.［Results/Conclusions］The research on information adoption theory mainly focuses on three aspects:the antecedents of information usefulness,information adoption and purchase decision.The existing researches have limitations such as"some antecedents of information usefulness are controversial""some studies still substitute behavioral intentions for actual behavior""less attention is paid to the influence of cultural context".Future research can expand the application of information adoption theory in new scenarios and domains by conducting meta-analyses of literature with divergent conclusions,validating actual user behavior with objective data,and focusing on multicultural contexts.

［Purpose/Significance］In order to make the academic community fully understand the application and development of privacy calculus theory in the field of information system,and provide guidance for the follow-up related research and application.［Methodology/Process］By searching and combing the relevant literature,this paper systematically collated current research results,limitations,and prospects for the future direction.［Results/Conclusions］The research on privacy calculus theory in the field of information system mainly focuses on three aspects:the antecedents of perceived benefits and risks,IS user information disclosure,the usage of information system.At the same time,in addition to the ambiguities in the application of privacy calculus theory,the existing researches pay less attention to the privacy questions and personal information segmentation,the individual differences,the limited sample collection methods and objects,etc.Future research can make progress in these aspects.