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.

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.

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.

Recommending Friends Instantly in Location-based Mobile Social Networks

Differently from the general online social network(OSN),locationbased mobile social network(LMSN),which seamlessly integrates mobile computing and social computing technologies,has unique characteristics of temporal,spatial and social correlation.Recommending friends instantly based on current location of users in the real world has become increasingly popular in LMSN.However,the existing friend recommendation methods based on topological structures of a social network or non-topological information such as similar user profiles cannot well address the instant making friends in the real world.In this article,we analyze users' check-in behavior in a real LMSN site named Gowalla.According to this analysis,we present an approach of recommending friends instantly for LMSN users by considering the real-time physical location proximity,offline behavior similarity and friendship network information in the virtual community simultaneously.This approach effectively bridges the gap between the offline behavior of users in the real world and online friendship network information in the virtual community.Finally,we use the real user check-in dataset of Gowalla to verify the effectiveness of our approach.

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。

Heterogeneous Vehicular Networks for Social Networks： Requirements and Challenges

Heterogeneous vehicular networks （HetVNETs） are regarded as a promising technique for meeting various requirements of intelli- gent transportation system （ITS） services. With the rapid development of mobile Internet in the past decade, social networks （SNs） have become an indispensable part of human life. Based on this indivisible relationship between vehicles and users, social charac- teristics and human behaviors can significantly affect vehicular network performance. Hence, we firstly present two architectures for SNs by introducing social characteristics into the HetVNETs. Then, several user cases are also given in this paper, in which service requirements are analyzed simultaneously. At last, we briefly discuss potential challenges raised by the HetVNETs for SNs.

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.

Social Networks and Their Role in Current Medicine: An Indispensable Tool for Doctors

Social networks have had a substantial impact on the current methods of professional development and practice within the health services industry. They have proven to have a wide range of suitable applications that facilitate communication, training, and medical practice. Currently, there are many web systems that allow people to have a public or semi-public profile, allowing the creation of shared connections with a list of users within the same system, which may vary in nature and terminology depending on the site in which it is used, shaping the concept of the social network. The purpose of this review is to highlight the usefulness of social media networks in academic medicine and its impact on health services.

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.

Social Networks Design of Hospital Facilitators （HFs）＂ An Empirical Study of the Case of Italy

In this paper, the author provides a representation of Italian public hospital facilitators （HFs） （clinics, regional or local community hospitals, and medical centers） by means of different types of networks. Moving from the balance scorecards of HFs, the author has analyzed the representation of those data through the use of the minimum spanning tree （MST） and the planar maximally-filtered graph （PMFG）. This paper firstly examined the amount of information provided by the two networks and then run a sensitivity analysis of the networks by varying the elements of the balance scorecards to be considered. In this way, the author obtained a quite unusual representation of the overall economic situation of Italian HFs. Moreover, the author observed the emergence of patterns which in the author＇s opinion might help policy makers to realize a more efficient allocation of financial resources among the existing HFs.

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.

服务创新网络中企业社会资本如何影响创新绩效——知识流耦合与知识共创的链式中介作用

基于社会网络理论与知识基础观,构建“企业社会资本—知识流耦合—知识共创—服务创新绩效”的链式中介模型,运用层次回归分析法对405份企业样本进行分析。研究发现:结构性、认知性、关系性社会资本均对服务创新绩效有显著正向影响,且影响程度依次减弱;知识流耦合、知识共创在企业社会资本与服务创新绩效之间起链式中介作用。研究可进一步夯实创新网络、社会资本理论基础,揭示企业社会资本通过知识作用路径影响服务创新绩效的内在机制,为服务企业提高创新绩效提供参考。

以新浪微博为例的社交网络服务质量改进

随着社交网络的不断发展与流行,社交网络的服务质量以及经营成效成为了运营商赢得市场竞争优势的关键,研究社交网络服务质量改进有利于提升运营商的市场竞争力。在理论与现有文献研究基础上开发了社交网络服务质量量表,以中国的社交网络新浪微博为例,基于开发的量表结合KANO模型及IPA分析方法探讨新浪微博网络服务质量的特性以及服务质量提升建议,并根据企业当前的绩效和融入战略之后的改进策略进行对比分析。实证分析表明,新浪微博网络服务质量具有二维质量的属性,而且考虑企业战略有助于管理者做出更完善的质量改善决策。

理工类双一流院校新文科的社会服务特征研究

“六卓越一拔尖”计划2.0的正式实施带来了理工类双一流院校新文科的蓬勃发展。文章运用复杂网络分析方法刻画出理工类双一流院校新文科社会服务体系的特征,并通过典型案例提出了未来发展趋势,为推动理工类双一流院校新文科的全面发展提供重要依据。研究发现,当前我国理工类双一流院校的新文科社会服务体系规模大、涉及单位广,但网络密度低、网络关系较松散;区域上集中于经济政治、社会科教发达地区,跨区域交流不足;理工类高校新文科的交叉背景在服务行业广度方面展示出独特的优势。建议高校应积极提升服务水平,企业要发挥自身主体作用,政府应全力提供政策支持,三者合力共同推动高校社会服务质量的提高。

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。

城市绿地游憩服务网络特征及不同出行模式的响应差异

【目的】随着经济社会的快速发展,城市居民亲近自然的游憩需求显著增长。在城市尺度提升绿地的蓝色和绿色游憩服务效率成为当前亟须解决的问题。【方法】以武汉市为研究区域,通过提取居民游憩出行的最短路径,利用社会网络分析软件Ucinet 6.0分别构建步行、骑行和驾车3种出行模式下的5 min、10 min和15 min城市绿地的游憩服务网络,并分析网络的整体特征、节点功能和节点类型,进而探究这些特征在不同出行模式下的响应差异。【结果】当出行时长为5 min时,骑行和驾车模式能够组织超过85%的城市绿地节点协同联系形成游憩服务网络,而步行模式下游憩服务则呈零星局部组团分布。随着出行时长的增加,3种出行模式下游憩服务网络的核心集聚功能节点占比呈上升趋势,且节点类型主要以绿色游憩服务为主。骑行和驾车模式下的边缘汇聚功能节点占比则随出行时长增加而逐渐下降,但其蓝色游憩服务型核心集聚节点的占比则逐渐上升。【结论】城市绿地游憩服务网络效率的整体提升须系统考虑不同出行模式下居民的游憩需求,并协同整合蓝色和绿色游憩空间。这些发现可以为城市绿地游憩体系的构建和完善,以及游憩资源的系统整合提供直接支持。

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。