美国深空网的同波束干涉测量技术

讨论了美国NASA深空网(DSN)对深空飞船所采用的同波束干涉(SBI)技术概念和测量原理，并介绍了这一技术的应用和发展情况。     

网络环境下博物馆信息资源的采集策略

博物馆信息资源建设是博物馆信息化建设的重要组成部分。网络环境下的博物馆信息资源建设除了传统的藏品资源建设以外,还包括文献信息资源建设和网络信息资源建设等。针对不同的信息资源类型,采取不同的采集策略。时博物馆藏品档案信息,输入要完整、处理要规范、输出要主动,充分揭示藏品的文化内涵及实现其科技信息价值;对博物馆文献信息资源要拓宽进书渠道,实行采购方式多样化,重视数据库及灰色文献;充分挖掘网络信息资源,开展共建共享,全面提升文献信息保障能力。     

Strategizing through analyzing and influencing the network horizon

How does a firm keep on being valuable in a network? One requirement is that the firm has a sufficient overview of the network and its dynamics. In other words, a firm's strategy depends on the firm's overview of the network—its network horizon. How comprehensive or limited should its network horizon be? Is it necessary to know the network beyond the direct counterparts? Such issues have not received much attention. In this article, we discuss network horizons and argue that limited network horizons are both inevitable and useful. However, such myopia requires that a firm's counterparts effectively and efficiently mediate between the firm and the rest of the network. Based on a case study, we introduce and discuss three mediating functions of counterparts: a joining, a relating, and an insulating function, and we claim that in order to support a firm's strategizing, managers need to analyze and influence counterparts' mediating functions and thereby the firm's network horizon.     

IP电话系统中SNMP代理的实现

结合对简单网络管理协议（SNMP）的研究，分析了Agent 网管代理开发包，并介绍了利用Agnet 实现IP电话系统中SNMP代理的过程。     

网络环境下图书馆信息咨询服务的新模式

图书馆的信息咨询服务在网络信息的湍流中感到了前所未有的压力，这对图书馆工作既是挑战，又是机遇。本文讨论了网络环境下图书馆的发展变化，指出图书馆无论在传统条件下还是在网络环境下，信息咨询服务都是图书馆工作的主题，图书馆只有在信息咨询服务方面不     

论中英文中的网络词语

计算机技术的开发与互联网技术的广泛应用,对人类社会和语言都产生了深刻的影响。20世纪90年代以来,虚拟环境中的言语行为研究,已经成为心理学和语言学研究中的一个新的学术亮点,受到学术界普遍的关注。本文主要针对目前在互联网上出现的中英文网络词语进行了研究和探讨。     

网络时代高校德育教育的对策

在网络时代，人们的活动范围开始从实际领域向虚拟空间扩展，原本在地域文化基础上形成簟思想观念、价值取向等更多的受到了外来文花的冲击，人类整个思想文化领域正经历着深刻的变化。高校德育工作者务必抓住时机，积极寻找对策，充分发挥网络的优势，扬长避短，开辟德育教育的新天地。     

Network based evidence of the financial impact of Covid-19 pandemic

How much the largest worldwide companies, belonging to different sectors of the economy, are suffering from the pandemic? Are economic relations among them changing? In this paper, we address such issues by analyzing the top 50 S&P companies by means of market and textual data. Our work proposes a network analysis model that combines such two types of information to highlight the connections among companies with the purpose of investigating the relationships before and during the pandemic crisis. In doing so, we leverage a large amount of textual data through the employment of a sentiment score which is coupled with standard market data. Our results show that the COVID-19 pandemic has largely affected the US productive system, however differently sector by sector and with more impact during the second wave compared to the first.     

A network experiment in continuous time: The influence of link costs

In recent work on non-cooperative network formation star-shaped networks play an important role. In a particular theoretical model of Bala and Goyal (2000) center-sponsored stars are the only strict Nash networks. In testing this theoretical model, Falk and Kosfeld (2003) do not find experimental evidence that players select the center-sponsored star. Based on a slight modification of Bala and Goyal’s model, we design a network formation experiment in which, depending on link costs, periphery-sponsored stars and the empty network are the only strict Nash networks. We observe that almost all groups not only reach a strict Nash network once but also switch the center player in periphery-sponsored stars several times. The main innovation in our experiment is to use a continuous time framework which we believe to be a more realistic setting to study behavior in network formation situations and which makes coordination on stars much easier than simultaneous strategy adaptation in discrete time. Electronic Supplementary Material Supplementary material is available in the online version of this article at http://dx.doi.org/10.1007/s10683-006-9125-1. JEL Classification C72 · C92 · D81     

社会资本外部性的经济分析——以信任关系为例

以往理论研究与经验研究均指出社会资本具有正面的效应,但对这种效应是怎样取得的并无共识.我们尝试建立一个不完全信息动态博弈模型,说明社会资本-信任如何产生正的外部性,亦即产生超出个体理性计算之外的利益.我们的分析得出这样的结论,在一个多人互动的环境中,能否达到彼此合作或彼此信任,虽然会受到欺骗者所遭到的惩罚与欺骗利益多少的影响,但主要受到所处环境中具有社会资本者人数比例的影响.因此,可以说社会资本具有正的网络外部性,信任者人数越多,信任者所享受到的利益越大.