Group‐in‐a‐Box Meta‐Layouts for Topological Clusters and Attribute‐Based Groups: Space‐Efficient Visualizations of Network Communities and Their Ties

An important part of network analysis is understanding community structures like topological clusters and attribute‐based groups. Standard approaches for showing communities using colour, shape, rectangular bounding boxes, convex hulls or force‐directed layout algorithms remain valuable, however our Group‐in‐a‐Box meta‐layouts add a fresh strategy for presenting community membership, internal structure and inter‐cluster relationships. This paper extends the basic Group‐in‐a‐Box meta‐layout, which uses a Treemap substrate of rectangular regions whose size is proportional to community size. When there are numerous inter‐community relationships, the proposed extensions help users view them more clearly: (1) the Croissant–Doughnut meta‐layout applies empirically determined rules for box arrangement to improve space utilization while still showing inter‐community relationships, and (2) the Force‐Directed layout arranges community boxes based on their aggregate ties at the cost of additional space. Our free and open source reference implementation in NodeXL includes heuristics to choose what we have found to be the preferable Group‐in‐a‐Box meta‐layout to show networks with varying numbers or sizes of communities. Case study examples, a pilot comparative user preference study (nine participants), and a readability measure‐based evaluation of 309 Twitter networks demonstrate the utility of the proposed meta‐layouts.     

Public Displays of Play: Studying Online Games in Physical Settings

As research on virtual worlds gains increasing attention in educational, commercial, and military domains, a consideration of how player populations are ‘reassembled’ through social scientific data is a timely matter for communication scholars. This paper describes a large‐scale study of virtual worlds in which participants were recruited at public gaming events, as opposed to through online means, and explores the dynamic relationships between players and contexts of play that this approach makes visible. Challenging conventional approaches to quantitatively driven virtual worlds research, which categorizes players based on their involvement in an online game at a particular point in time, this account demonstrates how players' networked gaming activities are contingent on who they are playing with, where, and when.     

基于国家电网的财务管理系统的开发与研究

随着社会生产力的不断发展,越来越多的企业认识到了财务工作的重要性。企业要利用现代高效的运作方式来开发和管理组织中最重要、最昂贵的资源,实现财务管理的精细化、自动化,提高财务资源的利用率,促进企业的发展。     

浅析电力用户终端的管理现状及对策

当前,电力用户终端管理中出现的问题越来越多,已经影响到供电企业的发展和社会的和谐。如何解决这些问题并建立有效的电力终端管理机制,是目前电力企业面临的首要问题。     

在线用户兴趣多样性的实证研究

在线用户的群体兴趣对于分析在线社会网络以及个性化推荐至关重要。研究的目的是引入信息熵这一指标来准确度量用户兴趣的多样性。分别在电影网站MovieLens和音乐网站Last．FM数据上进行实证分析,即统计度相同的用户所选产品的信息熵值。MovieLens的结果表明,随着用户度的增加,熵值出现先上升后下降的趋势,即度小的用户和度大的用户的兴趣比较专一,而一般用户的兴趣较为多样;而Last．FM的结果表明,度小用户的兴趣非常多样,但随着用户听过的音乐数量越多,兴趣越明确。通过建立随机模型与实证结果进行比较,可以发现绝大多数用户在真实数据集上的兴趣的多样性比随机情况要大,可见用户的兴趣对用户行为模式的影响显著。     

基于中位数的用户信誉度排名算法

针对推荐系统易受Spammer攻击的影响,从而导致对象的实际得分不准确的问题,提出基于中位数的用户信誉度排名算法。通过衡量用户信誉度调整用户打分权重,根据中位数具有不易受极端打分影响的特性,选取用户打分与对象得分差距的中位数作为降低用户信誉度的标准,不断迭代调整用户信誉度以及最终得分直至收敛。在多个真实数据集上的运行结果证明,相比现有排名算法,该算法具有更合理的信誉度分布和更高的排名结果准确度,通过该算法预处理后的数据集在SVD++上运行可以得到更低的均方根误差。     

远程用户体验评估综述:工具、方法和挑战

远程用户体验评估允许评估人员和用户在时间和(或)空间上分离,它具有经济、便捷、对用户打扰少,能在真实环境中对大量多样的用户进行研究等特点,被认为是解决传统用户体验评估问题的一个理想方案,并逐渐成为人机交互领域中一个热门的研究课题。首先介绍了远程用户体验评估的概念和分类;然后描述了远程评估的研究概况;接着提出了远程评估工具的系统架构,并依据系统架构,详细描述了数据采集、分析和呈现的各种方法;最后,总结了远程评估所面对的挑战以及未来的研究方向。     

游戏产品有效粘合用户时间的策略研究

通过对游戏的分类、发展历程梳理以及用户的需求分析,结合游戏产生过程给出了游戏产品有效粘合用户时间的策略,最后预测了游戏的发展趋势。     

浅析垂直社交产品的特点与设计要点

文章通过对社交网络的当前状况与新时代互联网的发展趋势分析,论证了垂直社交出现的必然性。阐释了其基本的产品特征。通过对社交心理学研究。对需求进行分析与重构。阅释了垂直社交产品设计的要点。通过现象观察与案例分析,阐释了垂直社交产品的发展趋势。     

由隐性记忆引导的交互设计研究

认知心理学介入到交互设计领域受到越来越多学者的关注,但是关于无意识的隐性记忆的介入却甚少被提及。,文章从隐性记忆的特征、隐性记忆介入交互设计的价值以及隐性记忆引导交互设计的应用三方面进行研究和探索,通过对目标群体用户隐性记忆的普遍性研究,找到更高效的设计来提高用户体验。