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
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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]