The use of clustering and visualization for the management of blog content - an empirical investigation

点击翻译按钮获取中文摘要

Today's Internet users are exposed to an abundance of information from many sources such as e-mail and web pages. The sheer quantity of information can easily overload users, and adversely affect their ability to filter, analyze, consume, and understand all of this information in its various forms. The new wave in web use, commonly referred to as web 2.0, brings in a variety of opportunities for information dissemination and use. Yet, the information overload problem that existed for the earlier Internet applications still presents itself, arguably in an aggravated form. As of this writing, Technorati (technorati.com), the largest blog search engine, tracks almost 110 million blog sites (as a comparison, this figure was only 24.5 million in January, 2006) and over 250 million pieces of tagged social media. Given that search engines index only a portion of the existing information space and that there are over 175,000 new blogs every day regularly updated by 1.6 million posts per day, it is clear that information overload on web 2.0 will be even more pressing than it has been so far.