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Temporal Analysis of Supply and Demand of Topics on The Web

Published: 26 June 2019 Publication History

Abstract

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.

References

[1]
Anastassia Fedyk. 2015. Supply and Demand: Propagation and Absorption of News. In NewsWWW (WWW 2015 Companion). 883--883.
[2]
Masahiro Inoue and Keishi Tajima. 2012. Noise robust detection of the emergence and spread of topics on the Web. In TempWeb (WWW 2012 Companion). 9--16.
[3]
Elizabeth C. McNie. 2007. Reconciling the supply of scientific information with user demands: an analysis of the problem and review of the literature. Environmental Science & Policy, Vol. 10, 1 (2007), 17 -- 38.
[4]
Matt McVicar, Cédric Mesnage, Jefrey Lijffijt, Eirini Spyropoulou, and Tijl De Bie. 2015. Supply and Demand of Independent UK Music Artists on the Web. In WebSci. 48:1--48:2.

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Published In

cover image ACM Conferences
WebSci '19: Proceedings of the 10th ACM Conference on Web Science
June 2019
395 pages
ISBN:9781450362023
DOI:10.1145/3292522
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 June 2019

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Author Tags

  1. information ecology
  2. information traffic
  3. web analysis
  4. web ecology
  5. web mining
  6. web science

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WebSci '19
Sponsor:
WebSci '19: 11th ACM Conference on Web Science
June 30 - July 3, 2019
Massachusetts, Boston, USA

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WebSci '19 Paper Acceptance Rate 41 of 130 submissions, 32%;
Overall Acceptance Rate 245 of 933 submissions, 26%

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