Abstract
In the real world, discovering new topics covering profitable items and ideas (e.g., mobile phone, global warming, human genome project, etc) is important and interesting. However, since we cannot completely encode the world surrounding us, it’s difficult to detect such topics and their mechanisms in advance. In order to support the detection, we show a method for revealing the structure of WWW by using the KeyGraph algorithm. Empirical results are reported.
Cite
CITATION STYLE
Matsumura, N., Ohsawa, Y., & Ishizuka, M. (2001). Discovery of emerging topics between communities on WWW. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2198, pp. 473–482). Springer Verlag. https://doi.org/10.1007/3-540-45490-x_61
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