We are an information science research group developing software and methodologies to exploit Internet-based data sources for social sciences research, in addition to scientometrics, link analysis, cybermetrics and webometrics.
What makes something “Information Visualization?” Is it just visual titillation? Or is it a tool that interprets, analyzes, and facilitates deeper understanding of data?
Exemplary sites covered here include: WikiViz, FreeMind, Visualizious, Tree Radial Balloon Layout, Comment Flow, OneWord, Del.icio.us Network Explorer, Bubbl.us, ClusterBall, and data visualization of a social network.
IB, a quarterly journal, is dedicated to the latest advancement of Internet and Business, and the intersection of Economics with business applications. The goal of this journal is to publish cutting edge research and promote the research work in these fast moving areas. All manuscripts submitted to IB must be previously unpublished and may not be considered for publication elsewhere at any time during IB's review period.
Infoenthusiasts may exult in the sheer volume of raw data, & just as industrial revolution society learned how to process a glut of "atoms," we must now learn how to process this glut of "information."
This course is about scalable approaches to processing large amounts of information (terabytes and even petabytes). We focus mostly on MapReduce, which is presently the most accessible and practical means of computing at this scale, but will discuss other approaches as well.
This diagram depicts a spectrum of information sharing capabilities. Moving from lower right to upper left of the diagram, we see that more expressive forms of metadata and semantic modeling encompass the simpler forms, and extend their capabilities. From