Dr. Hsuanwei Michelle Chen is an Assistant Professor in the School of Information at San José State University. Her primary areas of research and teaching interests include data mining, information visualization, social network analysis, and online user behavior. In particular, she is interested in studying the value of virtual platforms, social media, and networked environments, and the role they play in shaping user behavior. She has published on the topics of information visualization, social media, and online user behavior in journals such as Journal of Information Technology Management, Library Management, Information Systems Research, and Decision Support Systems. She holds a BS and MS in computer science and information engineering from National Taiwan University and a PhD in information systems from the University of Texas at Austin, McCombs School of Business.
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Library Technology Reports, April 2017 (53:3)
This issue of Library Technology Reports (vol. 53, no. 3), “Information Visualization,” shares a comprehensive overview of information visualization, including its definitions, major principles, and common techniques. Author Dr. Hsuanwei Michelle Chen provides an in-depth discussion and demonstration of how information visualization can be applied to a library setting. The objective of this issue of Library Technology Reports is to provide librarians and library staff with a better grasp of what information visualization can do for their institution and how it can help enhance your library’s data analytics, communication, service quality, and work effectiveness. The report appeals to both readers who are new to the field and would like to learn a new method of data analytics, as well as to the individual who is experienced in information visualization and is seeking further opportunities in the library field.