Title
Characterizing And Modeling The Dynamics Of Online Popularity
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.
Year
DOI
Venue
2010
10.1103/PhysRevLett.105.158701
PHYSICAL REVIEW LETTERS
Keywords
Field
DocType
profitability,fat tail,internet
Data science,Popularity,Content popularity,Condensed matter physics,Physics,The Internet
Journal
Volume
Issue
ISSN
105
15
0031-9007
Citations 
PageRank 
References 
72
5.95
0
Authors
5
Name
Order
Citations
PageRank
Jacob Ratkiewicz183651.96
Santo Fortunato24209212.38
Alessandro Flammini3170594.69
Filippo Menczer43874268.67
Alessandro Vespignani51647109.55