关于网络人际信任危机的探讨

近年来,网络科学技术的飞速发展,大大加强了人与人之间沟通与交流的同时,也带来了网络交往过程中的人际信任危机问题。人们对其＂信任＂之余,也逐渐产生了＂怀疑＂。由此,试分析网络人际信任危机产生的原因,并尝试提出相应的解决对策具有重要的现实意义。     

A social capital approach to improving public relations’ efficacy: Diagnosing internal constraints on external communication

This article extends Heath's (2006) concept of fully functioning society theory (FFS) and argues that public relations can be used as a force to enhance collective social capital in communities. To serve this purpose, however, the effectiveness of an organization to serve its external publics is often dependent on the status and relationships the public relations function has developed within the organization. This paper provides a network analysis of a government agency in Jordan that illustrates the relationship between internal organizational social capital and the potential problems for establishing external relationships with publics. Implications for public relations research methods and theory are also discussed.     

Power and the perception of social networks

Previous work has led to divergent conclusions about how power affects the accuracy of network perceptions in groups and organizations. This paper develops and tests an argument linking higher power to less accurate network perception. Results from the first experiment showed that, relative to participants primed with high power, those primed with low power had more accurate perceptions of who was tied to whom in novel networks. The second experiment demonstrated that such differences in perceptual accuracy do not emerge for non-social relations.     

我国视频网站发展态势与前瞻

网络视频在我国经历了七年多的竞合发展。与国外的差异化发展模式不同,我国的视频网站呈现内容多样、各有侧重的特点。目前视频网站既有"旧病"又有"近忧",用户粘性不强成为其面临的核心问题。未来视频网站发展应在内容和技术两个层面着力。在内容层面,应建立内容生态圈,发展网络院线;在技术层面,应实现情境化播放,利用好大数据挖掘技术。     

网络媒体时代思想教育的价值生成与实现

以互联网为代表的信息网络技术日益普及,使高校思想政治教育进入网络这个符合时代主题的新的教育领域中。网络媒体时代的思想教育价值生成的关键所在,就是网络媒体时代的思想教育实践活动。思想教育价值生成、展开、确立的过程,是整合、统领、引导社会思潮的历时性过程。     

Risk management and managerial efficiency in Chinese banks: A network DEA framework

Risk management in Chinese banks has traditionally been the Cinderella of its internal functions. Political stricture and developmental imperative have often overridden standard practice of risk management resulting in large non-performing loan (NPL) ratios. The training and practice of risk managers remain second class compared with foreign banks operating in China. This paper surveys Chinese bank risk managers and constructs metrics of risk management practice and risk management organisation. The metrics are used as intermediate inputs in a Network DEA framework to produce a measure of income efficiency. A statistical test is carried out to assess the importance of the risk metrics in evaluating bank income efficiency.     

Hierarchical production planning for multi-product lines in the beverage industry¶

Multi-commodity production and distribution scheduling is one of the most complex and crucial problems facing many manufacturing companies. For a major European manufacturer specialising in bottling juices and drinks, we have designed and developed a hierarchical decomposition approach to the solution of the multi-commodity production planning problem. In this paper we focus our attention on the coarsest decomposition level, called multi-commodity aggregate production planning (MCAP). It concerns the choice of the best feasible production plan for a set of products (commodities) over an extended time horizon so as to meet forecast aggregate demands throughout the horizon. At this level, the problem constraints include hard constraints (such as production lines having a maximum capacity and products having short life-times), and soft constraints (budgetary concerns.) The objective is to determine the production plan that covers each period's demands as best as possible, while minimizing all relevant costs. Our method for solving MCAP produces optimal plans in negligible times in commodity PC workstations.     

Network public goods with asymmetric information about cooperation preferences and network degree

We propose a game theoretical model of one-shot network public goods formalizing the ‘closure argument’ that cooperation is more frequent in denser groups or networks. Equilibrium analyses show that (i) an ‘inefficiency problem’ exists: players all preferring mutual cooperation need not all cooperate; (ii) in dyads, groups and networks with degree independence, first order stochastic dominance shifts of the distribution of cooperation preferences or the degree distribution (weakly) increases cooperation, and (iii) the latter result does not hold for networks with degree dependence. Hence the closure argument always holds in networks satisfying degree independence but not in other networks.     

Structural effects of network sampling coverage I: Nodes missing at random

Network measures assume a census of a well-bounded population. This level of coverage is rarely achieved in practice, however, and we have only limited information on the robustness of network measures to incomplete coverage. This paper examines the effect of node-level missingness on 4 classes of network measures: centrality, centralization, topology and homophily across a diverse sample of 12 empirical networks. We use a Monte Carlo simulation process to generate data with known levels of missingness and compare the resulting network scores to their known starting values. As with past studies (0035 and 0135), we find that measurement bias generally increases with more missing data. The exact rate and nature of this increase, however, varies systematically across network measures. For example, betweenness and Bonacich centralization are quite sensitive to missing data while closeness and in-degree are robust. Similarly, while the tau statistic and distance are difficult to capture with missing data, transitivity shows little bias even with very high levels of missingness. The results are also clearly dependent on the features of the network. Larger, more centralized networks are generally more robust to missing data, but this is especially true for centrality and centralization measures. More cohesive networks are robust to missing data when measuring topological features but not when measuring centralization. Overall, the results suggest that missing data may have quite large or quite small effects on network measurement, depending on the type of network and the question being posed.     

网络交际中的字母词及其发展走势说略

网络交际中,字母词凭借键盘直接输入的便利及书写形式的简洁,应用更加灵活、多样。研究发现,网络交际中的字母词,其数量趋于稳定,由西文字母构成的字母词整体使用上呈衰减的趋势;网络交际中的字母词因便利传播的需要而不可能消失,但将会趋向与方块汉字和汉语拼音字母并存、共生的局面。