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Optimal Network Modularity for Information Diffusion

Phys. Rev. Lett. 113, 088701 – Published 18 August 2014; Erratum Phys. Rev. Lett. 113, 259901 (2014)
Azadeh Nematzadeh, Emilio Ferrara, Alessandro Flammini, and Yong-Yeol Ahn

Abstract

We investigate the impact of community structure on information diffusion with the linear threshold model. Our results demonstrate that modular structure may have counterintuitive effects on information diffusion when social reinforcement is present. We show that strong communities can facilitate global diffusion by enhancing local, intracommunity spreading. Using both analytic approaches and numerical simulations, we demonstrate the existence of an optimal network modularity, where global diffusion requires the minimal number of early adopters.

DOI: http://dx.doi.org/10.1103/PhysRevLett.113.088701

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  • Published 18 August 2014
  • Received 8 January 2014

© 2014 American Physical Society

Erratum

Erratum: Optimal Network Modularity for Information Diffusion [Phys. Rev. Lett. 113, 088701 (2014)]

Azadeh Nematzadeh, Emilio Ferrara, Alessandro Flammini, and Yong-Yeol Ahn
Phys. Rev. Lett. 113, 259901 (2014)

Authors & Affiliations

Azadeh Nematzadeh, Emilio Ferrara, Alessandro Flammini, and Yong-Yeol Ahn*

  • School of Informatics and Computing, Indiana University, Bloomington, Indiana 47408, USA

  • *Corresponding author. yyahn@indiana.edu

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