The Knowledge-Based Economy: Modeled, Measured, Simulated
The Knowledge-Based Economy: Modeled, Measured, Simulated
Why we twitter: understanding microblogging usage and communities
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
How and why people Twitter: the role that micro-blogging plays in informal communication at work
Proceedings of the ACM 2009 international conference on Supporting group work
Introduction to Webometrics: Quantitative Web Research for the Social Sciences
Introduction to Webometrics: Quantitative Web Research for the Social Sciences
Twitter power: Tweets as electronic word of mouth
Journal of the American Society for Information Science and Technology
Analyzing Social Media Networks with NodeXL: Insights from a Connected World
Analyzing Social Media Networks with NodeXL: Insights from a Connected World
EventGraphs: Charting Collections of Conference Connections
HICSS '11 Proceedings of the 2011 44th Hawaii International Conference on System Sciences
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In order to explore new scientific and innovative communities, analyses based on a technological infrastructure and its related tools, for example, `Web of science' database for Scientometric analysis, are necessary. However, there is little systematic documentation of social media data and webometric analysis in relation to Korean and broader Asian innovation communities. In this short communication, we present (1) webometric techniques to identify communication processes on the Internet, such as social media data collection and analysis using an API-based application; and (2) experimentation with new types of data visualization using NodeXL, such as social and semantic network analysis. Our research data is drawn from the social networking site, Twitter. We also examine the overlap between innovation communities in terms of their shared members, and then, (3) calculate entropy values for trilateral relationships.