Journal of Statistical Physics

, Volume 151, Issue 1–2, pp 383–393 | Cite as

Emergence of Influential Spreaders in Modified Rumor Models

  • Javier Borge-Holthoefer
  • Sandro Meloni
  • Bruno Gonçalves
  • Yamir Moreno


The burst in the use of online social networks over the last decade has provided evidence that current rumor spreading models miss some fundamental ingredients in order to reproduce how information is disseminated. In particular, recent literature has revealed that these models fail to reproduce the fact that some nodes in a network have an influential role when it comes to spread a piece of information. In this work, we introduce two mechanisms with the aim of filling the gap between theoretical and experimental results. The first model introduces the assumption that spreaders are not always active whereas the second model considers the possibility that an ignorant is not interested in spreading the rumor. In both cases, results from numerical simulations show a higher adhesion to real data than classical rumor spreading models. Our results shed some light on the mechanisms underlying the spreading of information and ideas in large social systems and pave the way for more realistic diffusion models.


Rumor spreading Online social networks Human activity patterns 


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Copyright information

© Springer Science+Business Media New York 2012

Authors and Affiliations

  • Javier Borge-Holthoefer
    • 1
  • Sandro Meloni
    • 1
  • Bruno Gonçalves
    • 2
    • 3
  • Yamir Moreno
    • 1
    • 4
    • 5
  1. 1.Instituto de Biocomputación y Física de Sistemas Complejos (BIFI)Universidad de ZaragozaZaragozaSpain
  2. 2.Department of Physics, College of Computer and Information Sciences and Department of Health SciencesNortheastern UniversityBostonUSA
  3. 3.Aix Marseille UniversitéMarseillesFrance
  4. 4.Departamento de Física TeóricaUniversidad de ZaragozaZaragozaSpain
  5. 5.Complex Networks and Systems Lagrange LabInstitute for Scientific InterchangeTurinItaly

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