社会化媒体的网络社会心态特征及调适机制

在社会化媒体盛行的网络社交时代,纷繁复杂的网络舆情往往更能深刻地透视出当前的社会心态。只有准确地把握社会心态并对其进行调适,才能更好地构建和谐社会,促进社会的良性发展。本文在梳理网络舆情在社会化媒体中投射出的社会心态主要特征的基础上,从理念、行为、方法、机制、修复等维度提出社会化媒体的网络社会心态调适思路。     

社交网络在图书馆中的应用及思考

论文探讨了社交网络在国内外图书馆的应用情况,并提出建立图书馆与读者的新型关系、发展交互式的学习分享模式、增强读者的网络信息安全意识和重视读者的心理调适等几点思考.     

大学生信息素养与心理调适的关系初探——一个来源于实践的“本土”特色问题

本文通过分析心理调适与信息素养关系以及当前大学生心理调适方式,讨论文献信息刺激在心理疗法中的作用,以“理性一情绪疗法”为参照,探索了信息素养作用于心理调适的机理和影响心理调适的途径与范围,认为在解决大学生心理问题方面,信息素养教育可以有所作为。     

网络时代图书馆员的心理调适初探

论述了网络时代对图书馆员进行心理调适的重要意义,剖析了图书馆员普遍存在消极心理的现象,并对形成消极心理的原因作了具体分析,提出从心理沟通、心理激励、心理归属、心理适应、参与认同等方面进行调适的具体对策。     

试论信息网络对青年编辑认知方式的影响

面对网络社会冲击和数字化出版,网络时代所构筑起来的新的认知方式、生存方式和生活方式,正逐渐影响着当今青年编辑的认知、情感、思想和心理。从认知心理学的角度,通过信息网络对青年编辑认知结构的深化、信息网络对青年编辑认知范围拓展和认知方式的多样化、信息网络对青年编辑思维的新变化等3个方面,论述信息网络的普及和迅猛发展对青年编辑认知方式的影响。     

网络环境下的文献信息资源建设

随着计算机技术、通讯技术和因特网的快速发展，使人类社会正迈入信息网络时代。图书馆网络是建立在广泛使用计算机，通信技术和信息处理技术之上的计算机通信网络。网络环境使图书馆从服务手段，服务内容，服务观念等方面得以变革，新型的文献信息服务模式，已打破传统的信息闭塞、独立、僵化格式，使图书馆工作朝着文献信息的广泛社会化网络化共享的方向发展。     

地市科技信息机构计算机网络建设发展之我见

地市科技信息机构计算机网络建设发展之我见蒋勇（湘潭市科技信息研究所）信息竞争的前沿地带之一的我国科技信息机构，其发展必须适应当前国内外发展的形势，采取有效措施，逐步建立起与社会主义科技经济市场相适应的社会化、产业化、网络化的综合科技信息网络和多层次的...     

论建立地质科技档案信息网络

一、建立地质科技档案信息网络的构想 1.地质科技档案信息资源网络的目标 目前,各行各业都建立了自己的网络,地质科技档案作为信息资源的重要组成部分也必须有自己的网络,快速而有效地提供各种层次和各种需求的信息服务,促进地质科技档案馆信息服务的社会化.地质科技档案馆信息网络应建立各种检索系统,如主题目录、案卷目录,分类目录等,实现各项业务工作自动化.从而在信息服务的深度和广度上,以及在时间和空间上都有所突破,方便、快捷、有效地为用户提供各种信息和检索查询以及网上服务,为社会提供全方位、高质量的信息服务.     

中国信息网络和信息服务的进展

本文综述了近年来中国信息网络建设和信息服务社会化的飞速进展。分析了信息网络对信息服务业的影响, 提出了繁荣中国信息市场和信息服务业的建议。     

论网络伦理的困惑与构建

网络伦理存在着诸多困惑，主要表现为网络空间与物理空间、信息共享与产权保障以及个人隐私与社会监督之间的矛盾。网络伦理构建首先要提高人们的网络道德认识水平，加强网络道德的心理调适，其次要树立尊重隐私的道德意识和尊重他人知识产权的规范，再次要健全网络伦理道德的维护和监管机制，最后还要做好网络立法和执法工作。     

Assessing the Effectiveness of Collaborative Interorganizational Networks Through Client Communication

A hallmark of today’s civil society sector is the prevalence of collaborative interorganizational networks. The purpose of this study is to investigate how collaborative interorganizational network structures affect interactions within client networks, and how this in turn impacts assessments of collaborative interorganizational network effectiveness. In particular, we focus on recommendations as key indicators of collaborative interorganizational network effectiveness in relation to client networks. We identify client networks of phantom populations as an important but unexamined aspect of collaborative interorganizational network effectiveness that warrants further research. We present an empirical investigation of a collaborative interorganizational network of social service agencies working to address the problem of homelessness in Boulder County, Colorado (USA). Findings indicate that organizations with a greater number of connections with other organizations generate more recommendations within client networks. Our study demonstrates a relationship between the degree of connections within a collaborative interorganizational network structure and the recommendations generated with a phantom population.     

How will net neutrality be played out in Korea?

The network neutrality debate is closely related to social, political, and economic debates over the public information network and the duties of its private carriers. The paper begins by defining network neutrality before discussing the technology underpinning network neutrality. It then contextualizes the issue in terms of policy, innovation, values, and society of Korean context. It compares the different approaches adopted by other countries to the regulation of network neutrality. Regulatory approaches to net neutrality can be either devising a comprehensive regulatory framework or abandoning the option of regulatory intervention altogether. We propose a careful combination of government intervention and market forces as a Korean model for allowing networks to remain a free and open marketplace of ideas and economic, political, and social interactions. The results offer useful references on net neutrality in other countries.     

基于无标度与分形理论的层次知识网络原理解析

[目的/意义]在保障知识网络的整体性征的条件下,从原始知识网络中提取具有显著意义的层次知识网络,奠定基于关联频度提取层次知识网络的理论基础。[方法/过程]以无标度网络与分形几何作为基础理论支撑,在对关键词知识网络和标签知识网络关联频度分布进行分析的基础上,采用关联频度作为阈值提取层次知识网络。并对层次知识网络的无标度性和小世界效应两项网络整体性征进行验证。[结果/结论]知识网络的关联频度分布服从幂律分布。以关联频度为阈值提取的层次知识网络在节点度值分布和关联频度分布方面都保持了原始整体网络的无标度性。层次知识网络能够很好地保持原始网络所具有的小世界特征。基于关联频度提取的层次知识网络与原始知识网络等效。     

复杂网络中重叠社团发现的算法探讨

复杂网络聚类算法的研究对分析网络拓扑结构、理解其功能、发现网络中的隐藏规律以及预测网络行为具有十分重要的理论意义。目前许多寻找重叠点的算法不多,并且很多都需要比较高的时间复杂度。文章通过观察网络社团之间的相邻点与每二社团的连接边数以及定义阈值的方法对其进行了改进,最后通过期刊之间的引用关系计算期刊引用网络的相似性,构造网络图。采用基于谱的聚类算法和改进后的方法对该图进行浆类,从而验证改进算法的先进性。     

Error and attack tolerance of small-worldness in complex networks

Complex networks may undergo random and/or systematic failures in some of their components, i.e. nodes and edges. These failures may influence various network properties. In this article, for a number of real-world as well as Watts–Strogatz model networks, we investigated the profile of the network small-worldness as random failures, i.e. errors, or systematic failures, i.e. attacks, occurred in the nodes. In errors nodes are randomly removed along with all their tipping edges, while in attacks the nodes with highest degrees are removed from the network. Interestingly, in many cases, the small-worldness of violated networks increased as more nodes underwent an attack. This indicates an important role of the hub nodes in controlling the small-worldness of Watts–Strogatz networks. The profile of changes in the small-worldness as a result of errors/attacks was independent of network size, while it was influenced by average degree and rewiring probability of Watts–Strogatz model. We also found that the pattern of the changes of the small-worldness in real-world networks is completely different than that of the Watts–Strogatz networks. Therefore, although Watts–Strogatz model is often used for constructing networks with small-world property, the resulting networks have different properties compared to real-world ones in terms of robustness in the small-worldness index against errors/attacks.     

知识网络中隐性知识的共享困境及其克服路径

知识网络的困境在于隐性知识的转移与共享难以实现,而隐性知识的共享困境,从个体层面上看主要表现为：心理困境、能力困境和动力困境,从组织层面上看主要体现为; 组织结构困境、组织文化困境、组织间的信任困境、组织间文化距离困境、组织能力差异困境和组织间合作动力困境。社会网络为解决上述困境提供了一个视角,科技专业网络、客户网络、娱乐网络以及企业家个人友谊网络等非正式网络可以弥补正式组织和正式网络的先天性不足,是克服知识网络中隐性知识转移与共享困境的有效途径。     

基于深度学习的领域知识对齐模型研究:知识网络视角

随着大数据的迅速发展,知识网络在不同语言、不同领域和不同模态等情境下呈现高度多样性和复杂性,如何对齐与整合多源情境下的异构知识网络,成为研究者所面临的严峻挑战。本文在知识网络深度表示学习的基础上,提出一种由知识网络构建、跨语言网络表示学习和统计机器学习三个模块构成的知识网络对齐(knowledge network alignment,KNA)模型。为验证模型的有效性,在中英文双语知识网络数据集上开展实证研究,借助于网络表示学习算法将异构知识网络表征到同一空间,利用已知的对齐链接来训练统计机器学习模型,并通过模型来预测未知的节点对齐链接。KNA模型在跨语言共词网络对齐任务中取得Precision@1值为0.7731,高于基线方法 (0.6806),验证了KNA模型在跨语言知识网络对齐上的有效性。研究结果对于改进知识网络的节点对齐效果,促进多源情境下的异构知识网络融合具有重要意义。     

The web of shyness: A network analysis of communicative correlates

This investigation was designed to explore the use of network analysis in an investigation of the communicative behaviors of shy individuals. Twenty‐three subjects were categorized as high, moderate, or low‐shy, and the friendship networks of these individuals were compared.

The results suggest that the communication networks of high‐shy subjects are structurally different than the networks of less‐shy individuals. Specifically, shy individuals had smaller, more interconnected networks. The evidence also suggests that shy subjects tend to have longer average length of relationships with their network links, less frequent interaction, and less role diversity in their friendships. Although structural and behavioral differences were found between high and low‐shy subjects, shy subjects did not report being any less satisfied with their friendship networks than less‐shy individuals.

Overall, communication network analysis was found to be a tool that can provide insight into the behavioral and perceptual correlates of shyness.     

Exposing multi-relational networks to single-relational network analysis algorithms

Many, if not most network analysis algorithms have been designed specifically for single-relational networks; that is, networks in which all edges are of the same type. For example, edges may either represent “friendship,” “kinship,” or “collaboration,” but not all of them together. In contrast, a multi-relational network is a network with a heterogeneous set of edge labels which can represent relationships of various types in a single data structure. While multi-relational networks are more expressive in terms of the variety of relationships they can capture, there is a need for a general framework for transferring the many single-relational network analysis algorithms to the multi-relational domain. It is not sufficient to execute a single-relational network analysis algorithm on a multi-relational network by simply ignoring edge labels. This article presents an algebra for mapping multi-relational networks to single-relational networks, thereby exposing them to single-relational network analysis algorithms.     

基于科学数据的合作网络研究——以ClinicalTrials.gov临床试验数据为例

[目的/意义]基于科学数据构建合作网络,并与传统出版物合作网络进行比较,从网络分析层面解读两个合作网络的差异,为科学数据管理工作提供借鉴。[方法/过程]以ClinicalTrials.gov网站的临床科学数据库为例,利用爬虫抓取该网站上传统论文题录信息以及临床试验信息的元数据并分别构建合作网络,通过复杂网络分析比较试验合作机构网络与论文合作机构网络之间的异同。[结果/结论]基于科学数据集和论文数据集的元数据构建的合作网络,与仅从论文数据集中提取元数据构建的网络相比,前者能够展现更丰富准确的合作信息,从而揭示科学数据管理和开放共享的重要性。