Temporal Analysis of Supply and Demand of Topics on The Web

by Masahiro Inoue, Keishi Tajima


Timing of supply and demand for information on a topic does not always coincide. Sometimes one of them rises first, then the other follows. We show a classification of hot topics on the Web in the past based on the temporal relationship between their supply and demand, and also show that our classification is useful for predicting the timing of supply peaks in some cases.

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BibTex entry


web mining; web ecology; web traffic analysis; web log analysis; information ecology; information traffic analysis;
Published in Proc. of ACM Conference on Web Science, pp.143-144, Boston, MA, 2019

tajima@i.kyoto-u.ac.jp / Fax: +81(Japan) 75-753-5978 / Office: Research Bldg. #7, room 404