Mechanisms underlying aggravation and relaxation of virtual aggression: a Second Life survey study

Most studies on user aggression in virtual worlds have mainly focused on the causes of aggressive behaviour, but only a few have focused on the factors that relieve it. This study was conducted to determine the causes of aggression relaxation and aggravation in virtual worlds, using an approach that significantly differs from that used in previous research. We examined the mechanisms that affect aggravation and relaxation of virtual aggression, and suggested ways to resolve problems with aggression. A survey was conducted with 112 Second Life users to examine how commitment, belief, avatar attachment, desensitisation, and addiction were related to self-control and control disorder, and how the two latter factors affected virtual aggression. The survey also examined how virtual aggression influenced the intention for attacking behaviour in the real world. The results showed that (1) belief is a positive predictor of self-control, which has a negative impact on virtual aggression, (2) addiction is a positive predictor of control disorder, and (3) anger in virtual worlds is significantly connected to aggression in the real world.     

学术交流虚拟学习社区诚信问题研究

构建虚拟学习社区出发点就是为了探索一种在非正式群体虚拟群体环境下促进高水平研究型人才学术交往的理想模式。尤其以学术交流为主的虚拟学习社区,其学术性、创新性、平等性的特点,为学习者开展协作学习、知识建构和学术交流发展提供了一个有效的学习环境。但正是由于它的虚拟性,带来了很多很难避免的诚信问题。该文就是在虚拟学习社区涵义的研究上,从虚拟学习社区存在的信任问题出发,通过认真研究和系统分析,从不同的层面对学术交流虚拟学习社区的诚信问题进行了论述。     

Knowledge processes in virtual teams: consolidating the evidence

This article takes stock of the current state of research on knowledge processes in virtual teams (VTs) and consolidates the extent research findings. Virtual teams, on the one hand, constitute important organisational entities that facilitate the integration of diverse and distributed knowledge resources. On the other hand, collaborating in a virtual environment creates particular challenges for the knowledge processes. The article seeks to consolidate the diverse evidence on knowledge processes in VTs with a specific focus on identifying the factors that influence the effectiveness of these knowledge processes. The article draws on the four basic knowledge processes outlined by Alavi and Leidner (2001 Alavi, M.Leidner, D.E., 2001. Review: knowledge management and knowledge management systems: conceptual foundations and research issues. MIS Quarterly, 25 (1), 107–136. doi: 10.2307/3250961[Crossref], [Web of Science ®] , [Google Scholar]) (i.e. creation, transferring, storage/retrieval and application) to frame the investigation and discuss the extent research. The consolidation of the existing research findings allows us to recognise the gaps in the understanding of knowledge processes in VTs and identify the important avenues for future research.     

用VRML和Java实现虚拟小区的交互漫游

为了实现虚拟小区的交互漫游,在系统实现过程中采用了几种方式的交互技术,文中对这些交互技术进行了讨论和实现。阐述了在虚拟小区中交互漫游的两种方式,即由用户交互控制视点和由计算机自动控制视点的方式,并对这两种交互漫游方式给出了VRML编码的具体实现;最后采用外部编程接口（EAI）实现了用户界面中的二维平面图和三维场景图的交互。     

How virtual community participation influences consumer loyalty intentions in online shopping contexts: an investigation of mediating factors

Extant studies generally recognise that virtual community building is an effective marketing programme for forging deep and enduring affective bonds with consumers. This study extends previous research by proposing and testing a model that investigates key mediating processes (via trust, satisfaction and identification) that underlie the relationship between virtual community participation and consumer loyalty intentions. The authors test the hypotheses using data obtained from three large online retailing stores. Virtual community participation significantly enhances loyalty intentions, through both social mechanisms (via community identification) and psychological mechanisms (via trust and satisfaction). Moreover, the findings provide insights into the complex relationship between the two mechanisms in online shopping settings. Community identification is a pivotal factor for enhancing customer loyalty intentions. The results advance understanding of the process by which virtual community building facilitates the development of business-to-consumer relationships in the computer-mediated environment. The authors discuss the managerial implications of the findings, as well as avenues for further research.     

Effects of review spam in a firm-initiated virtual brand community: Evidence from smartphone customers

Previous studies of spam focus on how to develop effective and efficient algorithms and technologies to monitor, identify, and filter spam to minimize its negative consequences. Few studies have examined the social and psychological impacts of spam on social media users and participants of virtual brand communities (VBCs). This paper develops and tests a research model to explain the mechanism of how review spam influences customer participation in VBCs. We collected both objective data and subjective data from smartphone users in China. We also developed a measure of review spam using objective data. We found that hyper review had positive effects on membership and influence (two dimensions of sense of virtual communities (SOVC)), while the effects of defaming review on membership and influence were negative. Neither hyper view nor defaming review impacted immersion (the third dimension of SOVC). Further, non-review had negative effects on all three dimensions of SOVC that positively influenced future customer participation.     

基于虚拟学习社区的智能学习算法研究

随着信息技术和互联网技术的发展,虚拟学习社区为学习者提供一个开放的学习环境,是满足时代教育要求的强有力的平台,成为学习者网络交流、网络学习的重要手段。如何利用虚拟学习社区来提高学习者的学习效率成为当前研究的热点和重点。本文基于虚拟学习社区,提出一种智能的个性化推荐学习算法,使学习者能够方便、有效、智能、反思性学习,为构建虚拟学习社区提供理论技术支撑,以便更好地指导虚拟学习社区的学习实践。     

基于WEBVR和RIA技术的三维虚拟社区研究与应用

该文从VR和WEB技术的发展入手,对基于WEBVR技术的三维虚拟社区的特点以及发展前景进行了分析,同时介绍了RIA技术体系特点。并据此提出了基于WEBVR和RIA技术的三维虚拟社区的技术架构,详细介绍了基于WEBVR技术和RIA技术的三维虚拟社区的信息组织、存储以及交互等关键技术问题。最后介绍了WEBVR和RIA技术在未来网络交互中具有的广泛应用前景。     

基于X3D的动态交互式虚拟社区技术研究

三维虚拟社区具有强大的功能和广泛的商业价值,是虚拟现实技术的应用之一。X3D是新一代互联网3D图形规范,为构建基于Web的3D应用提供了解决方案。本文从虚拟场景建模、动态交互的实现技术和虚拟场景优化三个方面讨论基于X3D构建动态交互式虚拟社区的技术。     

SNS科技论文管理平台研究与实现

为了提高科技论文管理平台中学术信息资源的利用效率和个性化推荐的质量,深入介绍了社区挖掘算法在SNS科技论文管理平台中的应用,根据用户提供的个人信息以及发表的论文信息,构建树形关系结构,计算用户之间的相似程度;利用粒子群优化算法的思想寻找精英粒子,进行虚拟社区划分。通过确立社区主题和分析邻居用户的动态更新,对社区内的用户进行个性化推荐。实验结果表明,改进后的系统大大提高了个性化推荐的精度,增加了用户满意度。     

微博网络上的重叠社群发现与全局表示

微博网络是新兴的覆盖海量用户、涉及广泛话题并具有复杂重叠社群结构的多模网络。在深入研究微博网络各类实体和属性内在联系的基础上,提出了以用户-话题关系为主要划分原则的重叠社群表达模型及相应的社群结构发现算法。该方法不仅考虑网络中的用户-话题关系,还融合了这一网络特有的用户关注关系、博文评论与转发关系等所形成的复合网络关系。同时,改进了传统的社群隶属矩阵表述模型,通过引入虚拟社群,使隶属矩阵不仅合理反映个体对社群的隶属度,同时标识了个体在社群中的核心度。通过基于新浪微博数据集的实验验证,结果表明：该模型与方法能够高效合理地刻画该数据集包含的重叠社群结构,实验结果具有良好的可解释性,所提出的模型和算法可以有效地应用于类似多模网络社群划分和演化分析研究中。     

Antecedents of an experienced sense of virtual community

Sense of virtual community (SOVC) reflects the feeling that individual members have of belonging to an online social group. Yet there is a lack of investigation focusing on its individual-level antecedents. We argue that in order to enhance understanding of how SOVC develops we first need to distinguish between the individual expectations, actions, and the resulting community-related feelings. Drawing upon the uses and gratifications approach, we explore the community members’ expected benefits, their linkages with different types of community participation and consequently with the experienced SOVC. We tested the hypotheses on a sample of 395 members of a virtual community hosted by a Finnish business newspaper. The findings suggest that both forms of participation – reading and posting messages – have a positive impact on SOVC, but the expected benefits differ. Participation by reading messages is mainly driven by the expectation of cognitive benefits, while posting messages seems to be largely driven by the anticipation of both social and personal integrative benefits. Our study contributes by providing a refined SOVC conceptualization and operationalization for virtual-community research, and by opening up the individual-level actions that build up a sense of virtual community.     

基于数据挖掘技术的虚拟社区成员行为研究

虚拟社区的研究对于社区的建设、管理和发展都具有重要意义。然而目前对虚拟社区和社区中的成员行为的定量研究还不多见,本文抽样采集了某一典型虚拟社区中的成员文章数据,在进行预处理中,利用关联规则的数据挖掘技术对其进行了挖掘,从而获取了虚拟社区中一些潜在的行为规律,并给出这些行为规律的相应描述,其研究结果具有一定的意义,对虚拟社区的建设、发展和管理起到预见和指导作用。     

Discursive Equality and Everyday Talk Online: The Impact of “Superparticipants”

Empirical studies of online debate almost universally observe a “dominant” minority of posters. Informed by theories of deliberative democracy, these are typically framed negatively—yet research into their impact on debate is scant. To address this, a typology of what we call super‐participation (super‐posters, agenda‐setters and facilitators) is developed and applied to the http://www.moneysavingexpert.com/ forum. Focusing on the first of these, we found 2,052 superposters (0.4%) contributing 47% of 25m+ posts. While superposters were quantitatively dominant, qualitative content analysis of the discursive practices of 25 superposters (n=40,044) found that most did not attempt to stop other users from posting (curbing) or attack them (flaming). In fact, in contradiction to the received wisdom, super‐posters discursively performed a range of positive roles.     

Ontology-based empirical knowledge verification for professional virtual community

A professional virtual community provides an interactive platform for enterprise experts to create and share their empirical knowledge cooperatively, and the platform contains a tremendous amount of hidden empirical knowledge that knowledge experts have preserved in the discussion process. Therefore, enterprise knowledge management highly prioritises how to verify the empirical knowledge effectively before archiving it into enterprise knowledge repository for reuse. This work develops a novel scheme of ontology-based empirical knowledge verification for professional virtual community to assist domain experts in a professional virtual community to verify the logics of empirical knowledge, thus ensuring the quality of empirical knowledge and providing accurate knowledge decision support for knowledge workers. In particular, this work has the following objectives: propose an empirical knowledge verification model for a professional virtual community, design an ontology-based empirical knowledge verification process, develop techniques related to the ontology-based empirical knowledge verification and implement an ontology-based empirical knowledge verification mechanism with an illustrative example of securities trading. Results of this study facilitate efforts within the professional virtual community to verify empirical knowledge in order to provide knowledge workers with logic-correct empirical knowledge for decision support.