Perceptions of Neighbourhood Disorder and Reputation: Qualitative Findings from Two Contrasting Areas of an Australian City

Within Australian cities, social and economic inequalities manifest themselves spatially. Perceived neighbourhood disorder and neighbourhood reputation are relevant to considering the ways in which social and economic inequalities translate into place-based inequalities. This article explores the ways in which residents of two socio-economically contrasting urban areas describe and explain neighbourhood disorder and neighbourhood reputation. It draws upon qualitative data from 40 in-depth interviews, in addition to quantitative data from a postal survey. The qualitative findings highlighted how issues of neighbourhood disorder and reputation were intertwined. In both areas, participants sought to portray themselves and their neighbourhoods in positive ways, by attributing responsibility for neighbourhood disorder to people who were unlike themselves, and by highlighting places that were perceived to have worse reputations and higher levels of disorder. The findings are considered in light of Bourdieu's theory of capitals. This article indicates that both neighbourhood disorder and reputation are pathways through which social, economic and health inequities are maintained in urban areas.     

A Privacy-Preserving Attribute-Based Reputation System in Online Social Networks

Online social networks (OSNs) have revolutionarily changed the way people connect with each other. One of the main factors that help achieve this success is reputation systems that enable OSN users to ...     

A simulation testbed for analyzing trust and reputation mechanisms in unreliable online markets

Modern online markets are becoming extremely dynamic, indirectly dictating the need for (semi-) autonomous approaches for constant monitoring and immediate action in order to satisfy one’s needs/preferences. In such open and versatile environments, software agents may be considered as a suitable metaphor for dealing with the increasing complexity of the problem. Additionally, trust and reputation have been recognized as key issues in online markets and many researchers have, in different perspectives, surveyed the related notions, mechanisms and models. Within the context of this work we present an adaptable, multivariate agent testbed for the simulation of open online markets and the study of various factors affecting the quality of the service consumed. This testbed, which we call Euphemus, is highly parameterized and can be easily customized to suit a particular application domain. It allows for building various market scenarios and analyzing interesting properties of e-commerce environments from a trust perspective. The architecture of Euphemus is presented and a number of well-known trust and reputation models are built with Euphemus, in order to show how the testbed can be used to apply and adapt models. Extensive experimentation has been performed in order to show how models behave in unreliable online markets, results are discussed and interesting conclusions are drawn.     

面向企业信息系统集成的Web服务推荐模型

为解决企业信息系统集成过程中Web服务选择方面的问题,提出了一种基于服务质量与用户推荐的服务推荐模型。根据服务质量量化模型计算服务质量综合值,利用皮尔逊相关系数找出一组评价相似用户,根据该组用户的评价相似度与评价值计算用户推荐度,利用服务质量综合值和用户推荐度计算Web服务信誉度,依据Web服务信誉度选出最优的Web服务。针对恶意推荐问题,提出一种用户评价可信度的计算方法。最后,根据该模型实现了一个推荐平台。实验结果表明该模型能够准确地为企业级用户推荐满足需求的Web服务。     

随机服务质量感知的Web服务信誉度量模型

为了根据公告服务质量随机性和实际服务质量随机性之间的一致性来计算服务质量的信誉,首先利用分布函数表示服务质量随机性,并给出一种服务质量经验分布函数的增量式更新方法。通过将服务质量公告值和实际观察值视为随机变量,并以随机优势理论为基础,设计结合随机服务质量公告及实际观察值的信誉度量模型。模型考虑了公告服务质量随机性和实际服务质量随机性之间不同的优势关系,以及服务质量观察值波动对信誉的影响。理论分析与实验验证了模型的合理性及其在服务选择中应用的有效性。     

基于索洛模型的品牌声誉形成机制研究

论述了品牌声誉是品牌形象的一致性,通过顾客在品牌实力与品牌形象的对比中获得,论述品牌传播形成了顾客关于品牌的知识,而品牌体验则生成了体验声誉并以品牌力的形式储存起来,表现为品牌实力对品牌力的投入.将索洛模型用于构建品牌声誉增长的模型,解释了品牌体验水平的改变使品牌处于不同的稳态中.     

Examining corporate reputation judgments with generalizability theory.

The researchers used generalizability theory to examine whether reputation judgments about corporations function in a manner consistent with contemporary theory in the corporate-reputation literature. University professors (n = 86) of finance, marketing, and human resources management made repeated judgments about the general reputations of highly visible American companies. Minimal variability in the judgments is explained by items, time, persons, and field of specialization. Moreover, experts from the different specializations reveal considerable agreement in how they weigh different aspects of corporate performance in arriving at their global reputation judgments. The results generally support the theory of the reputation construct and suggest that stable estimates of global reputation can be achieved with a small number of items and experts. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

一种基于信任衰减向量的P2P网络信誉模型

为了解决P2P网络的信誉问题,以电子商务为研究背景,设计了一种基于信任衰减向量的P2P网络信誉模型（P2P-Rep）。本模型采用混合结构式P2P网络的架构,对电子商务中各交易指标的评价向量进行衰减计算,基于交易评价因子推理计算直接信任度、间接信誉度和综合信誉度。仿真实验验证了该模型较低的资源开销和较高的交易成功率。     

基于可信度的认知无线电协同频谱检测

认知无线电中随着参与协同检测的认知用户数目的增大,频谱检测性能逐渐增强。但是过多的认知用户参与协同检测,会使整个认知无线电网络的灵敏度降低,同时也会造成巨大的系统开销。针对上述问题,提出了一种新的基于可信度的协同频谱检测方法。在满足目标错误概率的条件下,该算法只选择可信度较高的一些认知用户参与协同频谱检测。仿真结果表明当认知用户中存在恶意节点或者故障节点时,该算法同传统算法相比较,频谱检测性能更好,具有更强的健壮性。     

认知无线电网络中基于信任度的频谱感知技术

提出了一种在认知无线网络控制信道带宽受限条件下基于信任度的双门限协同频谱感知算法。首先每个认知用户基于双检测门限独立进行频谱感知,但只有部分可靠的认知用户通过控制信道向认知无线网络基站发送本地感知结果。当所有的用户都不可靠时,选取信任度最高的认知用户发送本地感知结果进行判决。理论分析和仿真表明,同常规能量检测算法相比较,该算法能够在控制信道带宽受限条件下,以较少的网络开销获得更好的频谱感知性能。