中国新闻网站的影响力与链接关系研究

根据中国新闻类网站排名选择前50个网站,运用搜索引擎和社会网络分析方法,研究新闻网站的影响力、新闻网站之间的链接关系,根据链接关系构建网络关系图,通过中心度和凝聚子群分析,探讨较具权威的新闻网站。结果显示,网站的链出和链入数量对网站的权威性产生正向影响;各新闻网站在网站网络中发挥的作用不同;位于新闻网络核心位置的34个网站对我国新闻网站网络的影响较大。

性别视角下国家自然科学基金项目负责人的成果产出与影响研究

从性别视角分析科学基金负责人受到项目资助后的成果产出与影响,可为项目绩效评价和科研人员性别差异提供新的研究视角与政策启示。本研究基于2017年结项的国家自然科学基金管理科学部面上项目与青年科学基金项目的项目负责人信息,收集这些项目负责人的论文成果及其影响力信息,应用数理统计和文献计量学方法探究负责人在成果产出与影响力方面的性别差异。分析发现:①从成果产出角度来看,女性项目负责人的论文合著规模较大、国际化程度较高;男性项目负责人的研究得到了更多项目的资助,而女性项目负责人的研究主要受其主持的自科基金项目资助。②从成果影响力角度来看,男性项目负责人产出项目论文成果的学术影响力更高且Mendeley受众较多,而女性项目负责人的产出项目论文成果在社交媒体传播更为广泛。本研究相对全面地呈现了不同性别项目负责人的成果产出与影响特征,有助于科技管理部门把握不同性别科研人员的共性与差异以制定更有效的针对性政策。

A New Evaluation Algorithm for the Influence of User in Social Network

Online social networks have gradually permeated into every aspect of people's life.As a research hotspot in social network, user influence is of theoretical and practical significant for information transmission, optimization and integration. A prominent application is a viral marketing campaign which aims to use a small number of targeted infl uence users to initiate cascades of infl uence that create a global increase in product adoption. In this paper, we analyze mainly evaluation methods of user infl uence based on IDM evaluation model, Page Rank evaluation model, use behavior model and some other popular influence evaluation models in currently social network. And then, we extract the core idea of these models to build our influence evaluation model from two aspects, relationship and activity. Finally, the proposed approach was validated on real world datasets,and the result of experiments shows that our method is both effective and stable.

Point-of-Interest Recommendation in LocationBased Social Networks with Personalized Geo-Social Influence

Point-of-interest(POI) recommendation is a popular topic on location-based social networks(LBSNs).Geographical proximity,known as a unique feature of LBSNs,significantly affects user check-in behavior.However,most of prior studies characterize the geographical influence based on a universal or personalized distribution of geographic distance,leading to unsatisfactory recommendation results.In this paper,the personalized geographical influence in a two-dimensional geographical space is modeled using the data field method,and we propose a semi-supervised probabilistic model based on a factor graph model to integrate different factors such as the geographical influence.Moreover,a distributed learning algorithm is used to scale up our method to large-scale data sets.Experimental results based on the data sets from Foursquare and Gowalla show that our method outperforms other competing POI recommendation techniques.

The Research on Social Networks Public Opinion Propagation Influence Models and Its Controllability

Public opinion propagation control is one of the hot topics in contemporary social network research. With the rapid dissemination of information over the Internet, the traditional isolation and vaccination strategies can no longer achieve satisfactory results. A positive guidance technology for public opinion diffusion is urgently needed. First, based on the analysis of influence network controllability and public opinion diffusion, a positive guidance technology is proposed and a new model that supports external control is established. Second, in combination with the influence network, a public opinion propagation influence network model is designed and a public opinion control point selection algorithm(POCDNSA) is proposed. Finally, An experiment verified that this algorithm can lead to users receiving the correct guidance quickly and accurately, reducing the impact of false public opinion information; the effect of CELF is no better than that of the POCDNSA algorithm. The main reason is that the former is completely based on the diffusion cascade information contained in the training data, but does not consider the specific situation of the network structure and the diffusion of public opinion information in the closed set. thus, the effectiveness and feasibility of the algorithm is proven. The findings of this article therefore provide useful insights for the implementation of public opinion control.

A Delay System Approach to Fault Detection Filter of Networked Control Systems

In this paper,the fault detection filter(FDF) design problem for networked control systems(NCSs) with both network-induced delay and data dropout is studied.Based on a new NCSs model proposed recently,an observer-based filter is introduced to be the residual generator and formulated as an H∞-optimization problem for systems with two successive delay components.By applying Lyapunov-Krasovskii approach,a new sufficient condition on stability and H∞ performance is derived for systems with two successive delay components in the state.A solution of the optimization problem is then presented in terms of linear matrix inequality(LMI) formulation,dependently of time delay.In order to detect the fault,the residual evaluation problem is also considered.An illustrative design example is employed to demonstrate the validity of the proposed approach.

The Role of Education in Fostering Peace and Unity in Nigeria Between 1914 and 1938

As the world marks the centenary of the outbreak of the First World War and Nigeria celebrates the centenary of the amalgamation of the northern and southern Protectorates of 1 st January 1914, when Nigeria became a nation, it is pertinent to examine the contribution of education to fostering peace and unity in the post War era in Nigeria, from 1914 to 1938. Through historical research this project analyzes primary and secondary sources such as journals, publications, textbooks and internet materials. The findings of the study revealed that Nigeria, like other participating British colonial territories felt the impact of the First World which began in Europe in 1914 and ended in 1918. Much of the fighting took place among the central powers. In 1917, the USA joined the war against Germany as a consequence of her submarine activities and intrigues in Mexico. The War had a negative political, economic and social impact on all nations, leading to the peace conference in Paris and the treaty of Versailles in June 1919. Nigeria played a very vital role in the drive to achieve this by providing military training as well as a training in citizenship for democracy and political leadership. A culture of peace, education and non-violence has been the norm in Nigeria since the post-war period. The aims of the paper therefore are to understand the state and the role of education during the war and post-war period in Nigeria, to analyze the role of education in fostering peace in the education and to recommend ways of maintaining peace in the education sector in Nigeria. It is therefore recommended in this paper that the Nigerian Educational Research Development Council, should formulate policies that will bring cohesion with a bid to balancing the gap between the North and the South, that Labour Unions should resolve issues with government on a round table conference and not through violence and strike actions i.e. the Nigeria Union of Teachers, government should not mix educational matter with politics and education personnel should be well remunerated and given maximum encouragement to enhance productivity in the sector.

Research on Public Opinion Transmission and Evolution Mechanism in Network

As the Internet continues to expand, the influence of network information on real life has gradually deepened. Research on propagation and evolution of Internet public opinion has become a hot topic. The force of intemet public opinion penetrates and influences on every aspect of the society. Compared with traditional public opinion, the network public opinion has features of immediate, multivariate and interactive, the propagation behavior has the new change compared with the traditional public opinion. In the propagation behavior of network public opinion, agenda setting is no longer an arbitrary, the influence of opinion leaders in the agenda setting becomes more and more complex and diversified. The formation time of network public opinion is short, and social influence becomes strong. Guide the public opinion to build a harmonious environment of network public opinion. Overall, our country＇ s network public opinion environment is a benign situation and steadily promoting the reforms of public policies. Although there is still a few not rational voices full of them, the network public opinion shows a general trend of positive thinking. Based on this philosophy, through the research of network public opinion dissemination and evolution mechanism, can be all-round good guidance and supervision of public opinion, building a harmonious network environment of public opinion.

The study of driving force concerning aviation network

With the continuous development of our country＇ s economy, social economy expands to the globe increasingly.The amount of imports and exports increases to a new high, which leads to the rapid development of the aviation transportation. This article is written by constructing theoretical models of aviation network, analyzing the relative influencing factors, analyzing the instances and obtaining the final conclusion.

激发人心效力:本土组织伦理系统提升员工绩效的新视角——基于浙江ZX公司的扎根研究

组织伦理是社会伦理道德规范在商业情境下的微观体现,一直是管理学界关注的热点议题。然而,组织伦理是什么,在员工绩效提升中发挥着怎样的价值,现有研究并未阐释清晰。本文选取具有典型伦理文化的浙江ZX工业有限公司为案例企业,采用建构主义扎根理论方法,对中国本土组织伦理系统及其对员工绩效的影响机制进行了探讨和分析。结果表明:(1)中国本土企业的组织伦理系统是一个兼顾内、外部因素,包括情感导向和工具导向的四维整合概念,即注重员工关怀、强调伦理问责、鼓励价值创造和承担社会责任四个方面。(2)组织伦理实践通过"个体内在驱动"和"社会网络影响"双重路径激发人心效力,提高员工绩效。在"个体内在驱动"路径下,"注重员工关怀"实践能有效激发员工的情感承诺,"鼓励价值创造"实践促使员工形成规范承诺,最终作用于员工绩效,这一机制体现了对员工内在动机的激活;在"社会网络影响"机制下,"强调伦理问责"和"承担社会责任"敦促员工行为符合组织规范和社会期望,从而表现出惩罚规避行为和社会赞许行为,最终影响员工绩效,这一机制体现了对员工外部动机的激活。

A dynamic influence model of social network hotspot based on grey system

The outbreak of hotspot in social network may contain complex dynamic genesis. Using user behavior data from hotspots in social network, we study how different user groups play different roles for a hotspot topic. Firstly, by analyzing users' behavior records, we mine group situation that promotes the hotspot.Several major attributions in a hotspot outbreak, such as individual, peer and group triggers, are defined formally according to the view-point of social identity, social interaction, retweet depth and opinion leader. Secondly,for the problem of the uneven and sparse data in each stage of hotspot topic's life cycle, we propose a dynamic influence model based on grey system to formalize the effect of different groups. Then the process of hotspot evolution driven by distinct crowd is showed dynamically. The experimental result confirms that the model is able not only to qualify users' influence on a hotspot topic but also to predict effectively an upcoming change in a hotspot topic.

E-commerce business model mining and prediction

We study the problem of business model mining and prediction in the e-commerce context. Unlike most existing approaches where this is typically formulated as a regression problem or a time-series prediction problem, we take a different formulation to this problem by noting that these existing approaches fail to consider the potential relationships both among the consumers （consumer influence） and among the shops （competitions or collaborations）. Taking this observation into consideration, we propose a new method for e-commerce business model mining and prediction, called EBMM, which combines regression with community analysis. The challenge is that the links in the network are typically not directly observed, which is addressed by applying information diffusion theory through the consumer-shop network. Extensive evaluations using Alibaba Group e-commerce data demonstrate the promise and superiority of EBMM to the state-of-the-art methods in terms of business model mining and prediction.