@inproceedings{23311358d3a24a979261799708ac511b,
title = "Interactive Visual Analysis of Browsing and Authoring Behaviors in Web Media",
abstract = "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.",
author = "Kuan, {Yen Ting} and Tai, {Ming Hung} and Kuan, {Hsuan Hao} and Ho, {Tan Chi} and Yu-Shuen Wang and Wen-Chieh Lin and Jung-Hong Chuang",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; Big Data Visual Analytics, BDVA 2015 ; Conference date: 22-09-2015 Through 25-09-2015",
year = "2015",
month = oct,
day = "30",
doi = "10.1109/BDVA.2015.7314298",
language = "English",
series = "2015 Big Data Visual Analytics, BDVA 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Ulrich Engelke and Tomasz Bednarz and Julian Heinrich and Karsten Klein and Nguyen, {Quang Vinh}",
booktitle = "2015 Big Data Visual Analytics, BDVA 2015",
address = "美國",
}