虚拟环境中基于人际关系的社会影响建模

虚拟环境中的个体之间存在着相互影响并对个体态度的形成具有非常重要的作用。从社会影响基本理论入手,提出了基于人际关系的社会影响模型构建方法,从三个方面通过仿真实验对社会影响模型进行了验证,说明了保持个体数量优势、通过各种措施拉近和普通个体间的距离以及改善个体形象,增强个体的影响力是增强社会影响的有效途径。

亲密关系中的权力认知

亲密关系中的权力是指亲密关系中的一方改变另一方的思想、情感和/或行为以使其与自己的偏爱相符合的能力或潜能,以及抵抗另一方施加影响企图的能力或潜能。二元权力——社会影响模型和权力的关系阶段模型是关于亲密关系中的权力的最新理论进展。研究者通常使用自评法、观察编码法和实验操纵法对亲密关系中的权力进行测量。亲密关系中的权力能够对认知、情绪情感、亲社会行为、攻击行为、性行为产生影响。在未来的研究中,应注意从社会关系的角度看待亲密关系中的权力,并探讨亲密关系中的权力与一般权力的关系、亲密程度对亲密关系中权力效应的影响、以及关系阶段对亲密关系中权力影响策略的影响。

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 Empirical Study on Impact Factors of Employee＇s Knowledge Capital in Supply Chain： Social NetworkPerspective

In contrast to the previous studies of knowledge capital from the perspective of enterprises, this study discusses the employee knowledge capital formation mechanism in the supply chain using social network method from the perspective of social capital s~＇ucture, taking individual employees as the study objects. 150 effective questionnaires of three groups were returned by multistage cluster sampling, and then they were analyzed through regression and the structural equation model. The results are as follows： （1） the acquisition of social capital and knowledge capital is affected by the network structure position of the employees in the supply chain; （2） the knowledge capital is affected by how much social capital the employees obtained in the supply chain; （3） social capital is an intermediary variable to affect the knowledge capital in the network structure. Finally, related suggestions for the supply chain management and the subsequent studies are proposed. 1

基于食品安全事件异质性的信息扩散过程研究

针对企业在食品安全事件中承担的责任不同,研究不同类型食品安全事件下的信息扩散过程,对政府和企业的食品安全应急管理和风险信息交流具有重要意义.本文首先构建了食品安全信息扩散的修正Bass模型,分析可辩解型食品安全事件下的负面信息扩散过程;然后,运用改进的社会影响模型分析了不可辩解型食品安全事件下的负面信息扩散过程;最后,运用顶新"馊水油"视频事件的互联网搜索数据进行实证分析.研究表明,可辩解型食品安全危机中的信息扩散达到动态稳定状态时,信任与不信任的消费者比例与正负信息的相互渗透率有关.在不可辩解型食品安全危机中,消费者对负面信息的免疫力越弱,越容易对食品企业和政府行为产生不信任,并改变消费决策,信息扩散速率和临界值的分布影响动态均衡的实现过程.

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.

Multi-dimensional assessment of socioeconomic impacts of hydropower development—A case in the Upper Chuan River

The positive role of hydropower in climate change adaption is well accepted by the international community and has been highlighted many times,while the understanding of its impacts on socioeconomic development remains at the stage of rough estimation and qualitative description.The application of a multi-regional CGE model in this paper provides an effective tool for quantitatively assessing the socioeconomic impacts of hydropower development,reflecting its positive functions.This case study on the Upper Chuan River details the steps of model development,including impact mechanism analysis,regional delimitation,macro closure setting,shock selection,and database preparation.The results show the enormous economic benefits of hydropower development using various indicators such as consumption,investment,GDP,employment,and income.The study indicates that hydropower development is a win-win energy development mode which can help to realize the integration of sustainable development and climate change mitigation.Finally,potential improvements to the model are discussed.