| KINM (Development of the Korean Internet Network Miner) |
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Development of the Korean Internet Network Miner Anatoliy Gruzd, Chung Joo Chung, Jeeun(Angela) Yoo, Han Woo Park
Abstract As an initial framework for the KINM, we used some of the social network discovery and visualization tools and techniques previously developed by Gruzd(2009). These tools and techniques were developed as part of a General purpose web system for content and network analysis of computer- mediated communication in English called ICTA (available at http://textanalytics.net). The reason we were especially interested in analyzing comments data was because comments turned out to be a good source for mining social connections among blog readers because comments contain most of The social interactions on a blog. we relied on an interactive tag cloud feature available in KINM To explore and evaluate all names and nicknames that were found automatically
The evaluation procedure involved clicking on each word found by the
name network algorithm and exploring the context where each instance
of the word was used. The purpose of this semi-automated
analysis was to discover what name/nickname candidates were identified
incorrectly and why.
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