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Predicting the Popularity of Online Content

descriptionPublicationkeyboard_double_arrow_right Article , Preprint , Other literature type 01 Jan 2008Embargo end date: 01 Jan 2008 English Publisher:Elsevier BVJournal:SSRN Electronic Journal (eissn: 1556-5068, Copyright policy )
Authors: Gábor Szabó 0002; Bernardo A. Huberman;

doi: 10.2139/ssrn.1295610 , 10.1145/1787234.1787254 , 10.48550/arxiv.0811.0405

arXiv: 0811.0405

Predicting the Popularity of Online Content

Abstract

Early patterns of Digg diggs and YouTube views reflect long-term user interest.

Related Organizations
Keywords

FOS: Computer and information sciences, Computer Science - Computers and Society, Physics - Physics and Society, Computers and Society (cs.CY), FOS: Physical sciences, Physics and Society (physics.soc-ph), Information Retrieval (cs.IR), Computer Science - Information Retrieval

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 736
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 0.1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 0.1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
736
Top 0.1%
Top 0.1%
Top 1%
Green
bronze