Personal Data Analytics to Facilitate Cyber Individual Modeling
Personal Data Analytics to Facilitate Cyber Individual Modeling
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DOI：
10.1109/dasc-picom-datacom-cyberscitec.2016.22
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发表时间：
2016-10
期刊：
影响因子：
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通讯作者：
Xiaokang Zhou;Bo Wu;Qun Jin;Jianhua Ma;Weimin Li;N. Yen
中科院分区：
文献类型：
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作者：
Xiaokang Zhou;Bo Wu;Qun Jin;Jianhua Ma;Weimin Li;N. Yen
普适计算、移动的计算、社会计算等新兴计算范式的高度发展，给我们的工作、生活、学习、娱乐等各个方面带来了巨大的变化。特别地，随着社交网络服务的高度可访问性沿着便携式无线移动的计算设备的日益普及的使用，越来越多的人群已经参与到这种真实的物理世界和网络数字空间的集成中，其可以被称为超世界。为了帮助人们在高度发达的信息社会中更好地生活，人们提出了所谓的赛博个人（Cyber-I），它远远超出了用户模型或帮助用户的软件代理，它在个人的经验，行为和思维以及他或她的出生，成长和死亡方面为其相应的Real-I提供了最全面的数字实体。在这项研究中，我们专注于个人数据分析，以促进网络个人建模。有机流的引入，系统地组织和细化的个人流数据，这可以帮助提高数据处理和管理的CI-Spine层和CI-Pivot层的Cyber-I。采用DSUN（Dynamically Socialized User Networking）模型来更好地利用来自一组用户的集体智慧，这可以帮助改进CI-Mind层，使Cyber-I变得更加健壮。在此基础上，我们讨论了促进网络个人建模的功能模块。最后给出了一个场景，并给出了实验结果，证明了个性化分析的有价值的结果可以用来丰富Cyber-I，为用户提供更合适的服务。
The high development of emerging computing paradigms, such as Ubiquitous Computing, Mobile Computing, and Social Computing, has brought us a big change from all walks of our work, life, learning and entertainment. Especially, with the high accessibility of social networking services along with the increasingly pervasive use of portable wireless mobile computing devices, more and more populations have been engaged into this kind of integration of real physical world and cyber digital space, which can be called the hyper world. To help people live better in the highly developed information society, the so-called cyber-individual (Cyber-I), which is far beyond a user model or a software agent to assist a user, has been proposed to provide the most comprehensive digital entities for its corresponding Real-I in terms of the individual's experience, behavior, and thinking as well as his or her birth, growth, and death. In this study, we concentrate on the personal data analytics to facilitate the cyber individual modeling. Organic Stream is introduced to systematically organize and refine the personal stream data, which can help improve the data processing and management in the CI-Spine tier and CI-Pivot tier of Cyber-I. The DSUN (Dynamically Socialized User Networking) model is employed to better utilize the collective intelligence from a group of users, which can help improve the CI-Mind tier to make Cyber-I to become more robust. Based on these, we discuss the functional modules for the facilitation of cyber individual modeling. Finally, a scenario is given, and the experimental results are presented to demonstrate that the valuable outcomes from the personal analysis can be utilized to enrich the Cyber-I, and provide users with more suitable services.