Interactive Visual Analysis of Browsing and Authoring Behaviors in Web Media

Yen Ting Kuan, Ming Hung Tai, Hsuan Hao Kuan, Tan Chi Ho, Yu-Shuen Wang, Wen-Chieh Lin, Jung-Hong Chuang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Web media is becoming popular nowadays for people to read news or articles. It is interesting and important for the web media providers to learn the browsing behaviors of their readers and authors. In this paper, we present a visual analytics system for discovering the browsing and authoring behaviors in web media based on users' web page clickstream data. Our system provides multiple views of visualization with user interaction, including a scatter plot providing an overview to help analysts locate data of interest, and a force-directed graph for investigating relations between data entities. Interesting behaviors have been explored and found by using the proposed multiple views system.

Original languageEnglish
Title of host publication2015 Big Data Visual Analytics, BDVA 2015
EditorsUlrich Engelke, Tomasz Bednarz, Julian Heinrich, Karsten Klein, Quang Vinh Nguyen
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467373432
StatePublished - 30 Oct 2015
EventBig Data Visual Analytics, BDVA 2015 - Hobart, Australia
Duration: 22 Sep 201525 Sep 2015

Publication series

Name2015 Big Data Visual Analytics, BDVA 2015


ConferenceBig Data Visual Analytics, BDVA 2015


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