[Purpose/Significance] In the smart city environment,evolutionary game analysis of information security regulatory strategy is conducive to effectively deal with the information security crisis caused by information risks and loopholes,and provide certain reference for strengthening multi-dimensional information security supervision.[Method/Process] Around wisdom city of information security problems in information security regulation,urban operators with wisdom and information safety regulators as the main body in the game,to build the pay-off matrix,calculated the six main strategy game behavior and stable conditions,and using the computer simulation,analyzed the wisdom city information security regulation under different conditions on both sides of the main game behavior as well as the key variables for game strategy choice of direction and degree of influence.[Result/Conclusion] It is found that when the cost of strengthening information security management is lower than the expected loss of information security incidents,the game results of both sides reach an ideal state,and the smart city regulators impose heavier penalties on operators,which will accelerate the convergence of this process.

[Purpose/Significance] With the rapid development of Internet technology,virtual academic community has gradually become an important platform for scientific research cooperation.Using symbiosis theory,this paper studies the choice of scientific research cooperation in virtual academic community under different modes in order to find a more stable mode of scientific research cooperation.[Method/Process] In this paper,the logistic model was used to analyze the stability of scientific research cooperation in different modes of virtual academic community,and the stability analysis model was used to discuss the stability of scientific research cooperation,as well as the modeling and simulation research among cooperative members,so as to analyze the scientific research cooperation under the balanced condition.[Results/Conclusions] The research shows that the research cooperation of virtual academic community was the most stable under the symmetrical reciprocal symbiosis mode.Therefore,the strategies to promote the stability of research cooperation of virtual academic community were proposed from three dimensions of symbiosis unit,symbiosis mode and symbiosis environment.

[Purpose/Significance] The HABCM model was proposed to facilitate scientific researchers in paper conception and writing.[Method/Process] First,based on the paragraph hierarchy,bidirectional GRU was used at the word level and sentence level respectively to model the semantics of writing requirements and references.Secondly,the paper used Attention to weight the word vectors and sentence vectors that contribute a lot to semantics.Finally,the similarity of text pairs was calculated by concatenating firstly and then extracting features,and reference relationship categories were output.[Result/Conclusion] The algorithm achieved 74.96% F1-score and 78.38% accuracy rate on ACL ARC data set,higher than the models in four comparison experiments.It is proved that the structure of "abstract and introduction" is the most representative for the subject content of the reference.

[Purpose/Significance] Heterogeneous resources contains comprehensive context information with complementary advantages,which can be constructed a context ontology to user perceive for decision making in collaborate knowledge architecture integrating context(CKAIC)based on the integration of concept lattice.[Method/Process] This context ontology construction method required the judgment of attribute reduction coordination set of eliminating redundant information and its construction of concept lattice integrating context by successively superimposing operation on heterogeneous resource formal background.[Result/Conclusion] Through the application analysis of context adaptation,it can be seen that the heterogeneous resource concept lattice which was coordinated by the attribute set could transform the comprehensive context it contains into the adaptive context ontology of user-aware applications pithily,and provide a reference solution for user decision making.

[Purpose/Significance] Since the concept of social search was put forward more than ten years ago,it has attracted the continuous attention of scholars in the fields of library and information science,as well as information retrieval.Social search users expect to actively search for information through online interpersonal relationships,cooperation and social networks.Compared with that in traditional information environment,the connotation of users' information literacy shows multidimensional and complex characteristics in the context of social search.This paper aimed to explore the constitution of users of information literacy under social search context.[Method/Process] This study adopted the method of phenomenological research.After analyzing the coding of in-depth interviews data,the seven dimensions of users' information literacy under social search context were summarized as information consciousness,information demand,information sources,retrieval strategies,information acquisition,information evaluation and information applications.[Result/Conclusion] It is found that the constitution of users' information literacy under social search context is not significantly different from that embodied in ubiquitous information search activities,while it is full of rich social characteristics in each division.Relevant research conclusions can provide ideas for future research in the cultivation path of social search users' information literacy and the functional design of social search platforms.

[Purpose/Meaning] As a high-frequency phenomenon,dropout behavior is a "pain point" for social media operators to improve technology and service quality,enhance user stickiness,and optimize product experience.This article takes SINA Micro-blog as an example to construct a conceptual model of discontinued behavior in weak-ties social media,in order to provide relevant suggestions and theoretical references for users,platforms,operating units,and media management departments.[Method/Process] Using grounded theory and based on ‘I&Me’ theory,this paper attempted to explore the influence mechanism of discontinued behavior in weak-ties social media,and constructed its conceptual model from the aspects of subject-self,objective-self and environmental factors,which covered the entire cycle of "adopt-use-dropout-readopt".[Conclusion/Discovery] Subject-self factors,such as changes in interest,changes in mental state,information overload,and object-self factors,such as loss of expressiveness,pan-entertainment,changes in life status,are the main causes of dropout behavior in weak-ties social media.Meanwhile,environmental factor is an important medium to promote the interaction,superposition or reversal of subjective and objective factors.[Innovation/Value]This paper introduced the "I & Me" theory into the field of user behavior study of social media,explored the internal mechanism and theoretical models of users' dropout behavior in weak-ties social media,and proposed related improvement suggestions for product,technology and service.

[Purpose/Significance] The mobile commerce platform brings convenience and comfort to users,but also causes serious privacy information leakage and other problems.It explores the influencing factors of users' privacy information protection willingness to help users improve their awareness of prevention and purify the platform's privacy environment.[Method/Process] Based on social cognition theory,this paper explored the mechanism of the social environment's impact on users' willingness to protect privacy information on mobile commerce platforms during the individual cognitive stage.Employ questionnaire survey method and establish structural equation model for empirical analysis.[Result/Conclusion] The research results showed that both descriptive norms and subjective norms had a significant positive impact on the willingness to protect privacy information;perceived threats had a significant positive impact on subjective norms,but had no impact on descriptive norms;self efficiency,response efficiency,perception the value of privacy have a significant positive impact on subjective norms and descriptive norms.

[Purpose/Significance] In order to enrich the theoretical framework of information impact factors,we build a model of information impact factors,so that users can understand information encounter and enhance the probability of information encounter,so as to get more valuable information.[Methods/Processes] Meta ethnography was used to integrate the original research and build the online information encounter model.[Results/Conclusion] This study around the "user" and "information","environment","situation" four dimensions,set up "model" factors of online information encountering influence,and analysis.

[Objective] Perception,analysis and utilization of city impression is conducive to obtaining the general situation of city development from the perspective of public perception,and providing effective data support and measurement scale for interactive services in urban social governance.[Method/Process] Firstly,the platform integrated social tags oriented to city impression and transformed them into subject network supervised by objective knowledge system.Secondly,the platform integrated individual cognition to extract city impression,and measured the emotional polarity and evolutionary process of city impression.Finally,the platform explored the city relationship and community structure based on the association of city impression,and explored the multi-dimensional service model of city impressions based on typical scenarios and business needs.[Result/Condusion]The design idea,construction process and functional framework of the platform is elaborated,and four functional modules have been implemented,including city impression perception,city impression analysis,city network construction and city impression service.The intelligent service platform,called "Impression-City",will build a bridge of dialogue between the government and the public,and promote the formation of a unified vision of city development between the government and the public.

[Purpose/Significance] With the rapid development of information technology today,social media has assumed more and more important functions of information release,user participation and opinion guidance in complex public issues.Through the big data analysis of user records on social media platforms,the differences in user demands and communication channels in cyberspace can be investigated.[Method/Process] Based on the reality of China-US Trade disputes case,the study used the web crawler Twitter and Weibo of user data.Then,it applied probability topic modeling,time trend analysis,and social network analysis,to explore the differences between the two platforms in the issue distribution,time evolution,and key influencers for trying to make up for the problem of unitary vision existing in the current research.[Result/Conclusion] The results showed that:(1)in the online environment,real events had a rapid impact on user behavior and topic popularity;(2)The reason that caused the difference of platform topic framework was shaped by specific environment,system or cultural background;(3)The types and opinions of key influencers significantly influenced the discussion network of the platform and guide the direction of public opinion.The study realized the exploration and inference of the interactive observation dimension and theoretical dimension of social media user behavior,verified the fundamental explanation of cross-platform factor differences,and responded to the social practice and theoretical research's attention to the function positioning and development optimization of social media to a certain extent.

[Purpose/Significance] Constructing an enterprise risk knowledge graph is an effective organization and utilization of enterprise knowledge resources in a big data environment.Aiming at the problem of static mapping of existing enterprise knowledge graphs,this paper introduces the time dimension to describe the evolutionary characteristics of enterprise risk events such as dynamics,suddenness and timeliness.[Method/Process] Through information extraction,knowledge fusion,ontology construction and dynamic knowledge reasoning of enterprise risk knowledge,a bottom-up enterprise dynamic risk knowledge graph was systematically constructed.In the enterprise risk knowledge fusion link,aiming at the imbalanced classification problem of the entity samples of the enterprise domain data set,this paper proposed the ResNet dynamic knowledge reasoning method to improve the loss balance function of the Multi-Net model.[Result/Conclusion] Experiments showed that the new model could effectively improve the accuracy of entity prediction and relationship prediction,which had good applicability to enterprise domain knowledge.Finally,the knowledge graph was applied to an intelligent question answering system.

[Purpose/Significance] Data literacy education should focus on learning environment design and create conditions for knowledge construction.[Method/Process] First,the data related to undergraduate education program and data literacy courses of information management major in Double First-class universities were collected and analyzed;second,the design system of knowledge construction learning environment from four perspectives of learners,data knowledge,community and evaluation,were constructed and deduced.[Results/Conclusion] According to the investigation and analysis results,some characteristics and shortcomings of data literacy education in our country were summarized.Four design perspectives correspond to 2~3 dimensions respectively,with a total of 11 design dimensions.The specific design contents and instructional strategies and suggestions were put forward.This design can better enhance the effect of undergraduate data literacy education.

[Purpose/Significance] This article takes journal citation data as an example to discuss the rights conflicts and its results of related subjects in the process of citation data opening,and aims to promote the open sharing of citation data;[Methods/Process] Starting from the production-consumption process of journal citation data,the article revealed the rights that each relevant subject,analyzed the current status and causes of their rights conflicts,and proposed solutions;[Results/Conclusions] Focusing on the issue of open citation data,the paper found that there was a sharp conflict between the intellectual property rights,data disposal rights of database vendors and the right to know and autonomy of the academic community,but it was not irreconcilable.We can take measures such as improving relevant policies,inspiring the open power of database vendors,raising the awareness of data rights in academia,and jointly building an open citation data platform to mitigate the conflict.

[Purpose/Significance] Explore the spread rule of public opinion in cross-platform social networks,analyze the process of public opinion propagation under the influence of individual factors and external environment,and propose measures that can adjust the spread of public opinion on cross-platform social networks effectively.[Method/Process] It used scale-free network to simulate cross-platform social network environment,and analyzed the influence of individual factors,external friend environment and external platform environment on user status changes based on SEIR model,and built a public opinion propagation model based on cross-platform social network,simulated and analyzed the main factors involved in this model with MATLAB.[Result/Conclusion] The experimental results showed that the public opinion propagation model of cross-platform social network constructed in this paper could describe the propagation characteristics of public opinion in the real environment accurately.Cross-platform social networks could increase the popularity of public opinion information and expand the scope of influence.Both the external platform environment and the external friend environment had an impact on the spread of public opinion in cross-platform social networks.By controlling the propagation threshold and the exit threshold of the platform can manage the spread of public opinion on cross-platform social network effectively.

[Purpose/Significance] Promoting medical data sharing is a key link of "Internet+medical health".From the perspective of privacy protection,a tripartite evolutionary game model is constructed to analyze the decision-making behavior of different subjects and explore the sharing willingness of all stakeholders.[Method/Process] First,a tripartite evolutionary game model of patients,medical service institutions and the government was constructed,then the evolutionary stability strategy of the participants in the model was analyzed,and finally the willingness of the tripartite participants to participate in the sharing of medical data was explored.[Result/Conclusion] According to the strategy balance and simulation based on the model,patient participation was a key factor to promote the sharing of medical data.Moreover,the amount of government penalties and rewards and subsidies were important factors that affect the strategic choices of medical service institutions.A reasonable amount of rewards and punishments can effectively increase the willingness of patients and medical service institutions to participate.By analyzing the influence of input,income,cost and other factors on privacy protection and medical data sharing willingness,the level of medical data privacy protection can be improved and the process of domestic medical data sharing can be promoted.

[Purpose/Significance] The efficiency of government public opinion governance is not only affected by internal factors,but also by external environmental factors.[Method/Process] This paper used Three-stage DEA model to verify the impact of environmental factors of information technology and economic development on the efficiency of government public opinion governance.Excluding the influence of environmental factors and random noise,the government public opinion governance efficiency of 31 provinces in China was calculated under the same external environmental conditions.It helped to improve the governance system and enhance the governance capability of the government public opinion.[Result/Conclusion] The results showed that:The government should reduce the investment redundancy in the eastern region and optimize the allocation of resources.The government should improve the efficiency of management and build a multi department linkage mechanism.The government should pay attention to the role of environmental factors and improve the government public opinion governance system.The results of the study are expected to provide suggestions and reference for government public opinion governance.

[Purpose/Significance] In the context of big data,the status of the "notice-consent" principle as the basis of the legitimacy of personal data processing is questioned,hoping to find a way to make it continue to play a role and fully protect personal data.[Method/Process] This study used the documents method to introduce a new data taxonomy proposed by OECD and the distinctive values of privacy "notice-consent" principle,its stipulations in data privacy laws of some countries and international organizations were introduced and the application conditions of "notice-consent" principle were analyzed.Then,validity dilemma for "notice-consent" principle based on a new data taxonomy proposed by OECD was analyzed,including the rising acquisition cost of the notice,the notice can not fully guarantee the data subject's right to know,binary consent is not conducive to personal data protection,and consent cannot effectively realize the control right of the data subject.[Result/Conclusion] At last,some solutions were proposed,like reducing the acquisition cost of notices,innovatively providing privacy notices,practicing graduated consent and the withdrawal of consent,implementing the mode of "situational rationality+pseudo-consent" and adding right to reasonable inferences to strengthen data privacy protection.It is expected that they can not only promote the full protection of personal data,but also promote the development of big data application.