基于网络层次分析的中国职业教育评价

运用网络层次分析法的理论与计算方法,从基本情况、经费情况和办学效益三个方面建立我国职业技术教育状况评价指标体系,在运用网络层次分析法全面考虑指标层次之间及层次内部相互关系的基础上确定指标体系的权重,是对层次分析法的有效改进。对我国部分省市的职业技术教育状况进行了实证分析与比较,给出了这些省市的职业技术教育状况排序及结果分析。     

产业集群的市场结构分析

产业集群网络由市场关系网络和社会关系网络复合而成.产业集群独特的网络结构使产业集群内部市场结构接近完全竞争,集群内部资源配置有效;产业集群外部市场结构接近完全垄断或寡头垄断,表现出强大的区域竞争力.     

城市地铁网络复杂性研究

城市地铁网络属于空间复杂网络,其中的节点与边对应于地理空间中的特定位置。文中首先应用Pajek与Ucinet分析了世界主要城市地铁网络的拓扑特性,发现它们拥有如下共性：倾向于选择短边、平均度数接近于2、聚集系数接近于0,直径较大。进而从网络连通性、特征路径长度与直径的变化趋势三方面分析了北京地铁网络的鲁棒性,研究发现北京地铁网络在节点随机故障情况下具有较好的鲁棒性,但在恶意攻击情况下整个网络很快就会瘫痪。     

基于网络层次分析法的农产品第三方物流服务商评价

中国农产品物流问题突出,现状堪忧。依据农产品物流的定义及农产品物流具有相对独立性、季节性、必要性等基本特点,构建了农产品第三方物流服务商评价指标体系和基于网络层次分析法的多指标综合评价决策模型。结合实际案例,运用超级决策软件进行了数值计算和验证,评估不同方案,计算结果表明,该模型能够根据第三方物流企业的实际情况,有效地评价与选择物流服务商。     

中国企业是否更偏好国际分工网络

嵌入国际分工网络为发展中国家的发展提供了条件,但国内分工网络的发展是决定其在国际分工中地位的重要基础.本文利用中国省级投入产出数据测算发现,自1987年以来,出现了持续的更偏好国际分工网络的趋势,国内区域间分工程度出现了先下降后上升的趋势.计量分析表明,“为出省而进口”胜于“为出口而进口”,但进口因挤出效应而弱化了区域间关联效应;出口增长促进了地区参与国际分工网络,推动了国内分工发展;FDI主导的分工网络抑制了区域间分工,地区GDP水平、技术地位和政府干预也有重要影响.     

A structured overview of 50 years of small-world research

This paper offers a structured overview of 50 years of small-world research. Initially formulated by Pool and Kochen in the mid-1950s, the small-world concept can be divided into six research foci, based on three dimensions (structural, process-related, psychological), and two process-related themes (diffusion, search). Building on this analytical distinction, the article provides a historical summary of the different phases of research on the small-world problem, and summarizes the empirical and theoretical progress on different facets of the small-world phenomenon. The paper concludes with a brief assessment of accomplishments and open questions, suggesting some possible future research areas.     

Connecting the dots: implementing and evaluating a network intervention to foster scientific collaboration and productivity

This article presents the design and implementation of a network intervention to foster scientific collaboration at a research university, and describes an experimental framework for rigorous evaluation of the intervention’s impact. Based on social network analysis of publication and grant data, an innovative type of research funding program was developed as a form of alteration of the university’s collaboration network. The intervention consisted in identifying research communities in the network and creating a new collaborative relation between pairs of unconnected researchers in selected communities. The new collaboration was created to maximally increase the overall cohesion of the target research community. In order to evaluate the impact of the program, we designed a randomized experiment with treatment and control communities based on the Rubin Causal Model approach. The paper describes the intervention design, reports findings from the program implementation, and discusses the statistical framework for future evaluation of the intervention.     

Network structure and team performance: The case of English Premier League soccer teams

A defining feature of a work group is how its individual members interact. Building on a dataset of 283,259 passes between professional soccer players, this study applies mixed-effects modeling to 76 repeated observations of the interaction networks and performance of 23 soccer teams. Controlling for unobserved characteristics, such as the quality of the teams, the study confirms previous findings with panel data: networks characterized by high intensity (controlling for interaction opportunities) and low centralization are indeed associated with better team performance.     

Network social capital as an outcome of social movement mobilization: Using the position generator as an indicator of social network diversity

In the social mobility literature, the position generator (PG) has been used to examine the relationship between the structural location of individuals, and outcomes such as obtaining a high status job. Diversity of occupational ties (as measured by the PG) is also a significant predictor of an individual's cultural capital. A great deal of work has also been done in the field of social movements examining the relationship between networks and mobilization. However, only limited attention has been given to the position generator in this literature. Also, while past research has demonstrated that prior network ties to activists is one of the most important predictors of current activism, relatively little research has been devoted to examining network structure as an outcome of activism. The present paper builds upon these insights by utilizing data collected with the position generator on a sample of environmental movement members, and examining the relationship between individual activism (as an independent variable) and diversity of occupational ties (as a dependent variable). The result of key theoretical significance is that those who are more active in the environmental movement develop a greater diversity of occupational ties to other environmentalists. Results suggest that this process occurs over time. These findings provide evidence that social capital (as indicated by network diversity) is one outcome of social movement mobilization.     

Review of the effects of Five Factor Model personality traits on network structures and perceptions of structure

We review recent research on Five Factor Model personality and social network analysis to assess how structures develop and are perceived. Extraversion and agreeableness relate consistently to personal but not workplace networks. Extraverts are more likely to seek connections, whereas agreeable individuals receive connections from others. Openness predicts network diversity and is marginally related to position when groups pursue collective goals. Conscientiousness is associated with maintaining certain personal relationships, but is strongly related to central positions in workplace networks. Neuroticism has no consistent relationship with network size or composition, and is differentially related to network positions, depending on the context.