Visualization of News Distribution in Blog Space

Authors:
Yasufumi Takama;Akio Matsumura;Tomoki Kajinami
Affiliations:
Tokyo Metropolitan University, Japan;Tokyo Metropolitan University, Japan;Tokyo Metropolitan University, Japan
Venue:
WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology
Year:
2006

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Abstract

This paper proposes a visualization method of News distribution in Blog space. Recently, Blog is becoming one of the important information resources on the Web, from which subjective data and trend information could be obtained. On the other hand, online news site is another information resource, which reports latest events in the world. This paper focuses on the combination of both resources, and proposes a method for visualizing how news is mentioned and distributed in Blog space. The target objects to be visualized are news articles, Blog entries, and Blog sites. The paper defines news to news relationship, news to entry relationship, entry to entry relationship, and entry to site relationship, based on which Blog space is visualized on 2D space by interactive information visualization system. This paper shows with a small data set that news distribution in Blog space can be visualized from multiple viewpoints.