Using IQA to Extract Mental Models Concerning Quality Evaluation Factors for Social Networking Services on Smartphones

Although today’s users of mobile phones are afforded increasing control as the popularity and richness of information provided by smartphones increases, how these users make choices and evaluations cannot be explicitly expressed. This study uses an acute observation of designers of technology and aesthetics to conduct a mental-model analysis of smartphones with the purpose of explicitly identifying the differences in the schemas of users. This study also modifies the mental model to evaluate the practicability of the mental model. Hence, this study investigates groups of subjects, comparing freshmen and graduating students froma college of design, and adopts a schematized data collection and analysis approach, Interactive Qualitative Analysis (IQA), to ascertain the relationships between factors and establish a complete user mental model. The study results present 11 primary affinity factors: “Pricing,” “Advertisement,” “User Interface,” “Innovation Functions,” “System Maintenance,” “Privacy,” “Utility Functions,” “Personalization,” “Network Performance,” “Customer Service,” and “Multimedia Contents.” The primary driver in evaluating smartphones is found to be “Pricing” for graduating students and “Privacy” for freshmen. The two groups share the same final effect factor, “Multimedia Contents.” This study has successfully identified differences between the different mental models of the two groups, supporting the method that using IQA to perform a quality evaluation of social networking for smartphones is effective. Consequently, platform developers can understand user demand through a mental model and can design good platform functions to effectively improve users’ experience of smartphones.

SNS model for providing social network channels through queries

Users can obtain the information through a basic web searching and find the answer to the questions directly,but maybe the expected answer does not exist.Besides,we do not know the update of new information in time.The online social networking services spread quickly and store many user data,but these data are worth less and may be unreliable answer to users’ questions.Users can obtain the simple answer but can not expect more additional information in knowledge question-answering(QA)system.In this paper,we design the system with the advantages of knowledge QA system,web searching and characteristics of social networking service for providing social network channel based on the query and answer without users’ contact network.The user can obtain real-time answers by the user network interested in users’ querires through the network channel of this system,get the additional information effectively and share it with others in the social network channel in this system.

Design and implementation of user information sharing system using location-based services for social network services

Internet takes a role as a place for communication between people beyond a space simply for the acquisition of information.Recently,social network service(SNS)reflecting human’s basic desire for talking and communicating with others is focused on around the world.And location-based service(LBS)is a service that provides various life conveniences like improving productivity through location information,such as GPS and WiFi.This paper suggests an application combining LBS and SNS based on Android OS.By using smart phone which is personal mobile information equipment,it combines location information with user information and SNS so that the service can be developed.It also maximizes sharing and use of information via twit based on locations of friends.This proposed system is aims for users to show online identity more actively and more conveniently.

浅析使用Opensocial开发SNS应用

由Facebook引发的SNS（Social Network Service,社会化网络服务）风靡全球,让我们看到了在新一轮互联网革命中人的力量。＂草根文化＂、＂病毒式传播＂让我们越来越多地感受到,人、社会、网络的结合所产生的巨大价值和无限可能。如何将人的力量最大化,让更多的人参与价值的积聚过程,开放平台无疑是最好的方式。该文阐述了什么是SNS开放平台、SNS产业链中的各个角色以及OpenSocial产生的背景与现状。

Enhanced Cloud Service Provisioning for Social Networks

In the era of cloud computing and social networks prosperity, new requirements rise up for cloud services that meet social network’s needs. Several cloud service providers deliver social network services for cloud services users. The aim of this paper is to develop a framework to pick the best cloud service providers from group of available providers based on many Quality-of-Service (“QoS”) criteria attributes in order to enhance efficiency, accuracy and service provisioning. This paper also aims to provide a classification for QoS criteria attributes, which is divided into five main attributes and sub-attributes, helping in enhancing ranking process in the provided framework.

The Rise and Fall of Social Networking Sites： A Comparative Study of Cyworld and Facebook

This study examines why some social networking sites （SNSs） stagnate while other SNSs grow by comparing Cyworld with Facebook. Cyworld was one of the most successful SNSs in the world, but its international expansion efforts failed. Facebook＇s open technology has had considerable influence on various sectors of the economy and society and allowed it to become a dominant SNS at the global level, whereas Cyworld has remained a local SNS. Facebook＇s open platform and application programming interface （API） pose a serious challenge to Cyworld＇s walled-garden approach. Cyworld is based on strong ties fostering close relationships, whereas Facebook expands social networks through its open and weak ties and has more network power than Cyworld. Therefore, openness is the main reason behind the rise of Facebook and the fall of Cyworld.

Factors influencing knowledge contribution:An empirical investigation of social networking website users

Purpose: In the Web 2.0 era,leveraging the collective power of user knowledge contributions has become an important part of the study of collective intelligence. This research aims to investigate the factors which influence knowledge contribution behavior of social networking sites(SNS) users.Design/methodology/approach: The data were obtained from an online survey of 251 social networking sites users. Structural equation modeling analysis was used to validate the proposed model.Findings: Our survey shows that the individuals' motivation for knowledge contribution,their capability of contributing knowledge,interpersonal trust and their own habits positively influence their knowledge contribution behavior,but reward does not significantly influence knowledge contribution in the online virtual community.Research limitations: Respondents of our online survey are mainly undergraduate and graduate students. A limited sample group cannot represent all of the population. A larger survey involving more SNS users may be useful.Practical implications: The results have provided some theoretical basis for promoting knowledge contribution and user viscosity.Originality/value: Few studies have investigated the impact of social influence and user habits on knowledge contribution behavior of SNS users. This study can make a theoretical contribution by examining how the social influence processes and habits affect one's knowledge contribution behavior using online communities.

Privacy disclosure in Chinese social networking sites:An investigation of Renren users

Purpose:This study was conducted to investigate the current situation of privacy disclosure(in the Chinese social networking sites.Design/methodology/approach:Data analysis was based on profiles of 240 college students on Renren.com,a popular college-oriented social networking site in China.Users’ privacy disclosure behaviors were studied and gender difference was analyzed particularly.Correlation analysis was conducted to examine the relationships among evaluation indicators involving user name,image,page visibility,message board visibility,completeness of education information and provision of personal information.Findings:A large amount of personal information was disclosed via social networking sites in China.Greater percentage of male users than female users disclosed their personal information.Furthermore,significantly positive relationships were found among page visibility,message board visibility,completeness of education information and provision of personal information.Research limitations:Subjects were collected from only one social networking website.Meanwhile,our survey involves subjective judgments of user name reliability,category of profile images and completeness of information.Practical implications:This study will be of benefit for college administrators,teachers and librarians to design courses for college students on how to use social networking sites safely.Originality /value:This empirical study is one of the first studies to reveal the current situation of privacy disclosure in the Chinese social networking sites and will help the research community gain a deeper understanding of privacy disclosure in the Chinese social networking sites.

社交网站(SNS)中在线社会支持的研究现状与趋势分析

[目的/意义]随着互联网的高速发展,社交网络从无到有,在全球迅速发展起来,人们开始更多的依赖从SNS中获得在线社会支持。与传统社会支持相比,在线渠道尤其是SNS对于人们给予和接受社会支持变得越来越重要。因此,对这一领域的中外文献进行整体分析,帮助研究人员了解这方面研究的发展现状和趋势是有必要的。[方法/过程]通过对2018年前社交网络环境下在线社会支持的中英文研究的期刊文献进行收集并对文献进行内容分析。通过对205篇中外研究文献进行多维编码分析,总结了目前的研究现状并探讨了未来研究的可能方向。[结果/结论]文章总结了SNS环境下在线社会支持的研究重点以及研究方法等研究现状,探讨了该领域在研究对象、研究方法、社会网络的结构与作用等方面的未来潜在研究方向和途径,并分析了中外研究者在研究方法等方面的差异。

SNS采纳后阶段用户持续使用行为研究——基于情感依恋与ECM-IS的整合模型

SNS采纳后阶段的持续使用行为是SNS成功的关键,本研究提出情感依恋在用户持续使用意向形成过程中起关键性作用,用户的持续使用意向将受到情感与认知的双重作用。在整合ECM-ISC模型以及情感依恋相关理论、依恋强度ARC模型、情感扩建相关理论的基础上,构建了概念模型,以微信朋友圈经验用户为调研对象,进行了实证研究。研究结果表明:改进后的模型具有更高的解释力,感知有用性、满意和情感依恋对持续使用意向有显著影响,并间接影响用户的持续使用行为。用户关联、能力以及自主需求的满足会促使用户产生情感依恋并在情感扩大机制的作用下促使用户产生持续使用意向,同时满意度对于情感依恋也具有显著的正向作用。

SNS中结合声誉与主观逻辑的信任网络分析

提出一种结合声誉与主观逻辑的信任网络分析方法,结合声誉与朋友间的信任关系来获得信任值。由于推荐来自信任的朋友也基于普遍的社会声誉,信任计算的结果更能反映真实情况。仿真实验及分析表明,该方法具有较高的效率和准确度。

SNS社交网络结构实证研究——以豆瓣网为例

为了揭示豆瓣网的社交网络结构特性,使用网络爬虫,获取了豆瓣网的社交网络数据。利用复杂网络分析库NetworkX研究了豆瓣网的社交网络结构特性。与现实社会网络相比,它不仅表现出无标度和小世界特性等共性,而且还表现出度异配性的特性。

社会化交往站点(SNS)中的图书馆服务

在Web2.0时代,图书馆应把握住社会交往站点中的微内容、自组织及去中心化、应用程序以及双向交流的特征,主动将图书馆的资源和服务延伸到用户所在的网络社区。论文介绍并分析了图书馆在社会交往站点上开展服务的实践,总结了服务的主要内容及形式,指出了实践中的图书馆应采取的措施。

基于SNS的社区网络服务架构与设计

SNS(Social Networking Services),即社会性网络服务,专指在帮助人们建立社会性网络的互联网应用服务。也指社会现有已成熟普及的信息载体。本论文的主要目的是全面、完整地描述社区项目的总体架构设计,为项目设计、编码、测试等开发过程提供参考。论文主要从以下一些方面对系统进行架构和设计上的描述:系统架构,模块设计,数据库设计。

SNS社区空间交流特征与教育社会资源理论的地理解释--以百度贴吧的“高考吧”为例

我国教育基础设施的地域差异显著并形成地域鸿沟,但是网络环境及其应用却在均衡发展,那么Web.2.0时代教育主题SNS社区人际节点空间交流特征是怎样的,以及个人信息交流有什么效果,进而对消除教育发展地区差异能否发挥特殊作用,需要进行相关理论研究和针对整体区域的地理解释。选择百度贴吧中"高考吧"代表性教育主题帖为案例,以行动者地点和回复量体现人际节点空间交流,利用社会网络分析方法分析SNS社区人际节点空间交流的特征,进而运用教育社会资源理论解释该特征的形成,旨在说明SNS社区人际节点空间交流对行动者学习效果的影响及其地理学规律。研究发现:目前我国SNS社区人际节点空间交流整体表现为稀疏的类星型和线型结构,由低聚类系数表征出高扩散连接特性,点出度和点入度空间不对称形成围绕中心节点的局部集聚交流态势;人际节点空间交流具有非距离衰减性,较少依赖地方行政-经济中心,较大程度上突破了行政区划界限,行政区域内部的连接弱于跨行政区的连接;行动者个体特征在SNS社区交流中的作用较强。以上空间交流特征可以通过教育社会资源理论的个体、个体间和区域(位置)等观点进行地理解释。基此对改善我国地区间教育资源空间不平衡提供一种路径。

基于SNS社交网络的增长模型

随着网络信息技术的发展,社交网络(SNS)成为目前最热门的休闲交友平台。文章研究表明,这类网络具有3个典型的拓扑特征:幂律度分布、小平均距离和大聚集系数。为了进一步研究此类网络的拓扑结构及其动力学行为,文中基于社交网络的增长机制提出了一种二步式增长模型。运用平均场理论及数值仿真验证发现,该模型同时满足上述3个拓扑特征,符合社交网络的基本结构特性。

基于社会认知理论和大五人格模型的SNS用户内容生成行为实证研究

论文基于社会认知理论和大五人格模型,探讨了社交网站(SNS)用户的人格特质和认知因素以及SNS的信任氛围对用户在网站中的内容生成行为的影响作用。研究表明,大五人格中只有外向性和尽责性显著影响SNS用户的内容生成行为;此外,结果期望和信任氛围对SNS用户的内容生成行为也有显著影响。

数字图书馆的SNS扩展

介绍了SNS的定义、在国内外的发展概况,分析了SNS与数字图书馆的联系。在对国外SNS在图书馆的应用实践调查的基础上,设计出了将SNS应用于数字图书馆的功能模块。

从人口统计特征和生活方式探讨SNS社交网站用户的使用行为及其活跃度

作为Web2.0时代的新兴产物,SNS社交网站已经成为互联网领域最热门的话题。而如何提高网站的活跃度是众多SNS企业关注的话题之一。从实证角度研究了社交网站用户的生活方式和人口统计特征如何影响其使用行为,进而影响其活跃度。发现分享新鲜事和玩游戏这两项使用行为对社交网站用户的活跃度有显著影响,而用户的某些生活方式(如创新因子)和人口统计特征(如性别、年龄、职业)又会对用户的使用行为产生显著影响。为SNS企业识别和留住活跃用户提供了理论依据。