中国与“一带一路”沿线国家粮食贸易格局演变与影响机制——基于社会网络学视角

本文以2012—2017年“一带一路”沿线国家粮食贸易数据构建粮食贸易网络,从社会网络学视角探析沿线国家粮食贸易格局及演变机制。研究发现,“一带一路”倡议提升了沿线国家粮食贸易的一体化程度,中国在区域粮食贸易中的参与度、话语权有所提升;“一带一路”粮食贸易网络逐渐演化为功能不同的四个板块,功能的互补为增进区域合作奠定了基础;地理距离、文化、贸易协定关系、汇率、水资源、经济体量以及制度是影响国家间贸易格局的主要因素。在此基础上本文提出继续推进一带一路建设,提升中国在粮食贸易中的话语权;遵循不同板块的功能差异有针对性的合作,选择贸易伙伴时要综合考虑多重因素;从多角度消除贸易壁垒。

区域图书情报机构联盟嵌入人际网络的信息服务模式研究

从人际网络关系角度分析了社会信息交流的基本特征,指出图书情报机构联盟是具有相对完善双重关系的"信息组织"网络,以地区图书情报机构联盟"信息组织"网络构建实例及其嵌入社会人际网络的实践,实证了地区图书情报机构联盟在社会网络中的地位和作用提升。最后指出参与基于"结构洞"的人际网络社会资本运营,是深化图书情报机构联盟服务改革的发展方向。

平等、民主、公正:非政府组织如何做到?——以妇女/社会性别学学科发展网络为例

在当代社会,对许多妇女非政府组织来说,民主、平等、公正是其追求的目标。但事实上,在具体的运行过程中,观念、效率乃至领导者的个性等都往往会与民主、平等、公正之间形成某种矛盾,致使民主、平等、公正在许多时候会在一定程度上被牺牲掉,从而使人们对民主、平等、公正是否能真正得到实施和实现产生了怀疑。中国大陆妇女非政府组织是在’95世妇会后得到较大发展的。妇女组织如何做到民主、平等、公正一直是中国大陆妇女非政府组织的重大关切议题,也是其努力的方向。本文以中国大陆民间目前最大的妇女/社会性别学学科发展促进组织——妇女/社会性别学学科发展网络为例,探讨妇女非政府组织是如何实践和实现民主化、公平化、公正化的组织运行的。

Global optimization by small-world optimization algorithm based on social relationship network

A fast global convergence algorithm, small-world optimization (SWO), was designed to solve the global optimization problems, which was inspired from small-world theory and six degrees of separation principle in sociology. Firstly, the solution space was organized into a small-world network model based on social relationship network. Secondly, a simple search strategy was adopted to navigate into this network in order to realize the optimization. In SWO, the two operators for searching the short-range contacts and long-range contacts in small-world network were corresponding to the exploitation and exploration, which have been revealed as the common features in many intelligent algorithms. The proposed algorithm was validated via popular benchmark functions and engineering problems. And also the impacts of parameters were studied. The simulation results indicate that because of the small-world theory, it is suitable for heuristic methods to search targets efficiently in this constructed small-world network model. It is not easy for each test mail to fall into a local trap by shifting into two mapping spaces in order to accelerate the convergence speed. Compared with some classical algorithms, SWO is inherited with optimal features and outstanding in convergence speed. Thus, the algorithm can be considered as a good alternative to solve global optimization problems.

Social network search based on semantic analysis and learning

Because of everyone＇s involvement in social networks, social networks are full of massive multimedia data, and events are got released and disseminated through social networks in the form of multi-modal and multi-attribute heterogeneous data. There have been numerous researches on social network search. Considering the spatio-temporal feature of messages and social relationships among users, we summarized an overall social network search framework from the perspective of semantics based on existing researches. For social network search, the acquisition and representation of spatio-temporal data is the basis, the semantic analysis and modeling of social network cross-media big data is an important component, deep semantic learning of social networks is the key research field, and the indexing and ranking mechanism is the indispensable part. This paper reviews the current studies in these fields, and then main challenges of social network search are given. Finally, we give an outlook to the prospect and further work of social network search.

Mathematical Modeling in Social Network Analysis： Using TOPSIS to Find Node Influences in a Social Network

In a social network analysis the output provided includes many measures and metrics. For each of these measures and metric, the output provides the ability to obtain a rank ordering of the nodes in terms of these measures. We might use this information in decision making concerning disrupting or deceiving a given network. All is fine when all the measures indicate the same node as the key or influential node. What happens when the measures indicate different key nodes？ Our goal in this paper is to explore two methodologies to identify the key players or nodes in a given network. We apply TOPSIS to analyze these outputs to find the most influential nodes as a function of the decision makers＇ inputs as a process to consider both subjective and objectives inputs through pairwise comparison matrices. We illustrate our results using two common networks from the literature： the Kite network and the Information flow network from Knoke and Wood. We discuss some basic sensitivity analysis can may be applied to the methods. We find the use of TOPSIS as a flexible method to weight the criterion based upon the decision makers＇ inputs or the topology of the network.

Mobile Photography and Social Networks： Production, Consumption, Socialization and Copyright Practices Among University Students

The following study shall analyse results of an exploration into production, consumption, socialization, privacy and copyright practices among Mexican university students who take photography through mobile devices in social networks. This work focuses on an analysis of how digital natives carry out image capture, how much time is spent on this activity and what types of images are consumed in different types of social networks. It also examines what type of images are captured and what is done with these images in social networks. The study is applied to a specific sample of 93 university students who have full access to mobile devices, applications and social networks in their daily lives. It provides information as to their behavior within a changing techno-social scene which sees the emergence of new mobile devices, specialized applications and social networks dedicated to photography along with other nascent forms and styles of digital production and socialization. This shall be compared to a previous study carded out in 2010.

Online Social Support and Use of SNSs Among College Students Relationship to Online and Offiine Social Skills

The subjects of this study are college students aged between 18 to 26 years old from different majors. Investigated the use intensity and addiction of SNSs among college students, with variables of use behaviors and online social support are relate to their online social skills and offline social skills. Seven point Likert scale, descriptive statistics, One-way ANOVA and logistic regression were used to determine the correlations of different use intensities and levels of addiction. The results explored whether college students＇ online social skills, offline social skills, and online social support are correlated with use intensity and addiction. Long-term or high-frequency use of SNSs does not lead to equivalent social relationships on SNSs, yet addiction to SNSs can reflect the positive support and communication ability of college students in online interpersonal relationships.

Mobile Social Networking Aided Content Dissemination in Heterogeneous Networks

Since more and more mobile applications are based on the proliferation of social information, the study of Mobile Social Networks （MSNs） combines social sciences and wireless communications. Operating wireless networks more efficiently by exploiting social relationships between MSN users is an appealing but challenging option for network operators. An MSN-aided content dissemination technique is presented as a potential extension of conventional cellular wireless networks in order to satisfy growing data traffic. By allowing the MSN users to create a self-organized ad hoc network for spontaneously disseminating contents, the network operator may be able to reduce the operational costs and simultaneously achieve an improved network performance. In this paper, we first summarize the basic features of the MSN architecture, followed by a survey of the factors which may affect MSN-aided content dissemination. Using a case study, we demonstrate that one can save resources of the Base Station （BS） while substantially lowering content dissemination delay. Finally, other potential applications of MSN-aided content dissemination are introduced, and a range of lustre challenges are summarized.

The Internet and its Psychological and Social Effects on the UAEs Youth

The subject of this research concentrate on indicating psychological and social effects for the Internet on students in Sharjah University/Communication College/in other words the researcher try to know students opinion and impressions regarding the use of Internet and effect of the same, as well as opinion of positive and negative benefits regarding Internet, especially for the university＇s students who use Internet repeatedly in their daily routine. This stage marked by facts and characteristics based on search for information, explore the students world, and their expectations for that science. This study is the first in its kind in United Arab Emirates that try to shed light on the social and psychological effects of the lnternet, therefore we pave the way in front of those who administer lnternet and indicate to them guidelines for that to allow decisions maker to be aware about the world around university＇s student, the world that enjoy less interest for use of Internet at university, and what is the social and psychological effects of the use of Internet. And the study allow providing information and data that several sectors in society need. It draws clear image for the use of Internet at university by the student and whatever social and psychological effects that happened as a result of that use, so it consider as a survey for whom desire to know such information in United Arab Emirates.

Study on Factors of College Student＇s Network service time Based on Bayesian Networks

Due to the uncertainty of the factors that influence the network service time and other characters of college student, Bayesian Network is used to model this kind of system. Different algorithms are used for learning Bayesian Networks in order to compare several models. It is suggested that researchers can use Bayesian Networks to explore the potential relationship between variables of complex social problems. The result indicates that learning target and family closeness degree are the key variables which influenced college student＇ s network service time. Origin of student and family economy didn＇ t influence college student＇ s network service time directly. Schools and community should strengthen the education of college students life planning and communication with parents.

Research on the Influence Factors of Building China＇s Adult Education System under the Open Education Resource Perspective

In this paper, we conduct research on the influence factors of building the China’s adult education system under the openeducation resource perspective. Network education to build the learning society offers the best models and tools. All kinds of technical training,continuing education and so on all can through the network education. With the progress of the science and technology, at present on the networkis hard to experiment and practice activity will also been largely resolved. Therefore, to make full use of the advantages of network education,we can establish a learning society and construct lifelong education system. This paper starts from this perspective to propose the new idea on thecountermeasures and suggestions that will be benefi cial.

Research on the characteristics of the mode of the network ideological and political education of college students

With the development and progress of the social sciences, the Party and the state have attached great importance to the work of the construction of the informatization. Especially the Eighteenth National Congress of the CPC put forward the synchronous development of the ＂four modernizations＂, and promoted the information technology to the national strategy, making the field of the construction of the informatization broader, so that the informatization also occupied an important position in the construction of colleges and universities. The development of the informatization plays an important role in the development of colleges and universities.

The Role of Social Networks in Health

The aim of this paper is to investigate how the social environment, composed also by social networks, influences health and what the role is. There is a reciprocal influence on that relation： as the networks can influence health, the health of a person contributes to networking with special features （may be groups of self-help from trained individuals with the same health problem）. Social networks have health effects, creating social support, access to health resources and social participation on welfare issues. Informal play a fundamental role in social support of people with little or no support systems. We must not, therefore, forget the importance that networks have to offer an effective social support by providing, for example, the needed caregivers, especially in the case of the chronically ill. An overall analysis is appropriate in addition to having a look at sociological type, and also considers epidemiological data. It＇s what we do in our text. By integrating sociological aspects with ones purely epidemiological, we attempt to show how social networks have an effective role in the social determinants of health. This paper will try to develop the topic with a multi-disciplinary approach focusing on the integration of the two disciplines.

A Survey Study of City Community Athletic Service Network in Jiangsu Province, China

Introduction： Community athletic network service system,one of sub-systems of social security and social service, is the inevitable direction of social development in China in the future. Therefore, the research that how to establish the system matching our National City Community Service Network is the urgent issue to be settled down for the construction of the city community athletic service network. The construction of the city community athletic service network in Jiangsu provides a good way for the citizens to promote the level and quality of their lives with the help of the sports. Methods： Based on the literal data method, this paper studies the present city community athletic service network and the main factors which affect the construction of athletic service network and related problems by the following methods i.e. questionnaire survey, interview and observable methods and mathematical statistics method etc. Results： 1 .The main factors which affect citizens who join sports include shortage of athletic stations,, narrowly publicizing science knowledge of keeping healthy, the bad athletic circumstances and shortage of professional instructions. 2. Construction of Jiangsu urban community fitness service network mainly include： physical activity guidance; create a personal exercise files; the body after exercise monitoring; exercise prescription; knowledge of health promotion; post-exercise nutrition deployment; rehabilitation medical. 3.Governments play a leading role in Jiangsu city community service network. Conclusion： Physical fitness of urban community service organization management network should be based on City Community Service Center as the main sports, fitness, form a District Sports Council, the Community Sports Association, the neighborhood offices co-ordination between the management system. Community Sports College should become an important support network of health services, power, give full play to advantages of college sports professionals to enhance the community service network all aspects of sports, fitness, the construction and management.

Survey of Contemporary College Students＇ Political Participation

The network of political participation is relative to the traditional political participation, it takes the Internet as a carrier, with distinctive character, with a more convenient, fast, and even without time and space constraints advantage. Political participation has to be affected by the social and economic development, political system, social and environmental factors, countries generally believe that collaboration between the Government and social organizations, networks of enterprises, schools and other interested parties are currently the main mode of network governance. College students are the main power of the network of political participation, the university plays an important role in the political participation process. Therefore, this article takes online political participation of college students as a starting point, through questionnaires and case interviews and other methods to investigate the current status of college students online political participation, analyze network characteristics and problems of college students in political participation, to guide the college network path which provides reference for orderly participation in political studies.

Knockouts of high-ranking males have limited impact on baboon social networks

Social network structures can crucially impact complex social processes such as collective behaviour or the transmission of information and diseases. However, currently it is poorly understood how social networks change over time. Previous studies on primates suggest that ＇knockouts＇ （due to death or dispersal） of high-ranking individuals might be important drivers for structural changes in animal social networks. Here we test this hypothesis using long-term data on a natural population of ba- boons, examining the effects of 29 natural knockouts of alpha or beta males on adult female social networks. We investigated whether and how knockouts affected （i） changes in grooming and association rates among adult females, and （2） changes in mean degree and global clustering coefficient in these networks. The only significant effect that we found was a decrease in mean degree in grooming networks in the first month after knockouts, but this decrease was rather small, and grooming networks re- bounded to baseline levels by the second month after knockouts. Taken together our results indicate that the removal of high-ranking males has only limited or no lasting effects on social networks of adult female baboons. This finding calls into question the hypothesis that the removal of high-ranking individuals has a destabilizing effect on social network structures in social animals [Current Zoology 61 （1）： 107-113, 2015].

Exploring the Tendencies of Netizens＇ Policy Attitudes in China

Despite the rapid growth of the Internet and the surge of public online discourse on policies in China, little is known about the tendencies of netizens＇ policy attitudes, and less attention has been paid to how policy attitudes form from a social psychological perspective. In this study, we explore how netizens have developed their negative attitudes towards established political policy through online interaction. Using grounded theory, the paper analyzes the netizens＇ online comments on a new policy of flexible working hours for civil servants in Ningbo. The concept of policy-precipitation is used to explain how the residue of outcome from previous policies, the impression of government departments and the image of civil service intensify the formation of netizens＇ policy cognition orientation. In addition, the concept of policy-cognitive inertia is put forward to explore the subjective factor which is a way of thinking inherent in leading to netizens＇ cognitive tendency of policies. Finally, a policy attitude formation process model and a policy attitude influence elements model are proposed to demonstrate the effects of policy-precipitation and policy-cognitive inertia on the formation of a certain policy attitude trend.