Characterizing and modeling the dynamics of online popularity

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Characterizing and modeling the dynamics of online popularity
Authors: Jacob Ratkiewicz, Santo Fortunato, Alessandro Flammini, Filippo Menczer, Alessandro Vespignani [edit item]
Citation: Physical Review Letters 105 (15): . 2010.
Publication type: Journal article
Peer-reviewed: Yes
Database(s):
DOI: 10.1103/PhysRevLett.105.158701.
Google Scholar cites: Citations
Link(s): Paper link
Added by Wikilit team: Added on initial load
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Characterizing and modeling the dynamics of online popularity is a publication by Jacob Ratkiewicz, Santo Fortunato, Alessandro Flammini, Filippo Menczer, Alessandro Vespignani.


[edit] Abstract

Online popularity has an enormous impact on opinions, culture, policy, and profits. We provide a quantitative, large scale, temporal analysis of the dynamics of online content popularity in two massive model systems: the Wikipedia and an entire country's Web space. We find that the dynamics of popularity are characterized by bursts, displaying characteristic features of critical systems such as fat-tailed distributions of magnitude and interevent time. We propose a minimal model combining the classic preferential popularity increase mechanism with the occurrence of random popularity shifts due to exogenous factors. The model recovers the critical features observed in the empirical analysis of the systems analyzed here, highlighting the key factors needed in the description of popularity dynamics.

[edit] Research questions

"Online popularity has enormous impact on opinions, culture, policy, and pro ts. We provide a quantitative, large scale, temporal analysis of the dynamics of online content popularity in two massive model systems, the Wikipedia and an entire country'sWeb space."

Research details

Topics: Ranking and popularity [edit item]
Domains: Computer science [edit item]
Theory type: Explanation [edit item]
Wikipedia coverage: Sample data [edit item]
Theories: "Undetermined" [edit item]
Research design: Statistical analysis [edit item]
Data source: Websites, Wikipedia pages [edit item]
Collected data time dimension: Longitudinal [edit item]
Unit of analysis: Article [edit item]
Wikipedia data extraction: Dump [edit item]
Wikipedia page type: Article [edit item]
Wikipedia language: Not specified [edit item]

[edit] Conclusion

"We find that the dynamics of popularity are characterized by bursts, displaying characteristic features of critical systems such as fat-tailed distributions of magnitude and inter-event time. We propose a minimal model combining the classic preferential popularity increase mechanism with the occurrence of random popularity shifts due to exogenous factors. The model recovers the critical features observed in the empirical analysis of the systems analyzed here, highlighting the key factors needed in the description of popularity dynamics."

[edit] Comments


Further notes[edit]

Facts about "Characterizing and modeling the dynamics of online popularity"RDF feed
AbstractOnline popularity has an enormous impact oOnline popularity has an enormous impact on opinions, culture, policy, and profits. We provide a quantitative, large scale, temporal analysis of the dynamics of online content popularity in two massive model systems: the Wikipedia and an entire country's Web space. We find that the dynamics of popularity are characterized by bursts, displaying characteristic features of critical systems such as fat-tailed distributions of magnitude and interevent time. We propose a minimal model combining the classic preferential popularity increase mechanism with the occurrence of random popularity shifts due to exogenous factors. The model recovers the critical features observed in the empirical analysis of the systems analyzed here, highlighting the key factors needed in the description of popularity dynamics.in the description of popularity dynamics.
Added by wikilit teamAdded on initial load +
Collected data time dimensionLongitudinal +
ConclusionWe find that the dynamics of popularity aWe find that the dynamics of popularity are characterized by bursts, displaying characteristic features of critical systems such as

fat-tailed distributions of magnitude and inter-event time. We propose a minimal model combining the classic preferential popularity increase mechanism with the occurrence of random popularity shifts due to exogenous factors. The model recovers the critical features observed in the empirical analysis of the systems analyzed here, highlighting the key factors needed in the description of popularity dynamics.in the description of

popularity dynamics.
Data sourceWebsites + and Wikipedia pages +
Doi10.1103/PhysRevLett.105.158701 +
Google scholar urlhttp://scholar.google.com/scholar?ie=UTF-8&q=%22Characterizing%2Band%2Bmodeling%2Bthe%2Bdynamics%2Bof%2Bonline%2Bpopularity%22 +
Has authorJacob Ratkiewicz +, Santo Fortunato +, Alessandro Flammini +, Filippo Menczer + and Alessandro Vespignani +
Has domainComputer science +
Has topicRanking and popularity +
Issue15 +
Peer reviewedYes +
Publication typeJournal article +
Published inPhysical Review Letters +
Research designStatistical analysis +
Research questionsOnline popularity has enormous impact on oOnline popularity has enormous impact on opinions, culture, policy, and pro ts. We provide

a quantitative, large scale, temporal analysis of the dynamics of online content popularity in two

massive model systems, the Wikipedia and an entire country'sWeb space.
ikipedia and an entire country'sWeb space.
Revid10,692 +
TheoriesUndetermined
Theory typeExplanation +
TitleCharacterizing and modeling the dynamics of online popularity
Unit of analysisArticle +
Urlhttp://dx.doi.org/10.1103/PhysRevLett.105.158701 +
Volume105 +
Wikipedia coverageSample data +
Wikipedia data extractionDump +
Wikipedia languageNot specified +
Wikipedia page typeArticle +
Year2010 +