SOCIAL SENSOR: AN ANALYSIS TOOL FOR SOCIAL MEDIA

Q3 Computer Science

International Journal of Electronic Commerce Studies Pub Date : 2016-05-10 DOI:10.7903/IJECS.1411

Chun-Hsiao Wu, Tsai-Yen Li

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引用次数: 7

Abstract

In this research, we propose a new concept for social media analysis called Social Sensor, which is an innovative design attempting to transform the concept of a physical sensor in the real world into the world of social media with three design features: manageability, modularity, and reusability. The system is a case-centered design that allows analysts to select the type of social media (such as Twitter), the target data sets, and appropriate social sensors for analysis. By adopting parameter templates, one can quickly apply the experience of other experts at the beginning of a new case or even create oneâ€™s own templates. We have also modularized the analysis tools into two social sensors: Language Sensor and Text Sensor. A user evaluation was conducted and the results showed that usefulness, modularity, reusability, and manageability of the system were all very positive. The results also show that this tool can greatly reduce the time needed to perform data analysis, solve the problems encountered in traditional analysis process, and obtained useful results. The experimental results reveal that the concept of social sensor and the proposed system design are useful for big data analysis of social media. To cite this document: Chun-Hsiao Wu and Tsai-Yen Li, "Social sensor: an analysis tool for social media", International Journal of Electronic Commerce Studies, Vol.7, No.1, pp.77-94, 2016. Permanent link to this document: http://dx.doi.org/10.7903/ijecs.1411

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社交传感器:社交媒体分析工具

在这项研究中，我们提出了一种新的社交媒体分析概念，称为社交传感器，这是一种创新的设计，试图将现实世界中的物理传感器概念转化为社交媒体世界，具有三个设计特征:可管理性，模块化和可重用性。该系统是一个以案例为中心的设计，允许分析人员选择社会媒体的类型(如Twitter)、目标数据集和适当的社会传感器进行分析。通过采用参数模板，您可以在新案例开始时快速应用其他专家的经验，甚至创建自己的模板。我们还将分析工具模块化为两个社会传感器:语言传感器和文本传感器。进行了用户评价，结果表明系统的有用性、模块化、可重用性和可管理性都是非常积极的。结果还表明，该工具可以大大减少执行数据分析所需的时间，解决传统分析过程中遇到的问题，并获得有用的结果。实验结果表明，社会传感器的概念和所提出的系统设计对于社交媒体的大数据分析是有用的。引用本文:吴春晓，李泽彦，“社交传感器:社交媒体的分析工具”，《国际电子商务研究》，Vol.7, No.1, pp.77-94, 2016。此文档的永久链接:http://dx.doi.org/10.7903/ijecs.1411

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来源期刊

International Journal of Electronic Commerce Studies Computer Science-Computer Science Applications

CiteScore

1.40

自引率

0.00%

发文量

期刊介绍： The IJECS is a double-blind referred academic journal for all fields of Electronic Commerce. To serve as an international platform, the IJECS encourages manuscript submissions from authors all around the world. As a multi-discipline journal, The IJECS welcome both technology oriented and business oriented electronic commerce research articles. The purpose of the International Journal of Electronic Commerce Studies is to promote electronic commerce research and provide worldwide scholars a place to publish their innovative work in electronic commerce. To be published in the journal, the manuscript must make strong empirical, theoretical, or practical contributions and highlight the significance of the contributions to the electronic commerce field. Thus, preference is given to submissions that test, extend, or build strong theoretical frameworks for electronic commerce theory, electronic commerce system development, and electronic commerce practice. The journal is not tied to any particular national context; the geographic distribution of authors publishing in the journal came from countries around the world. Articles introducing cases of innovative applications in electronic commerce around the world are also published in the journal. The journal provides scholars opportunities to realize the electronic commerce research and development around the world. Articles in the International Journal of Electronic Commerce Studies will include, but are not limited to the following areas.