Emergence of influential spreaders in modified rumor models
arXiv:1209.1351 · doi:10.1007/s10955-012-0595-6
Abstract
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.
14 Pages, 6 figures, accepted for publication in Journal of Statistical Physics
References in corpus (14)
- Statistical physics of social dynamics
- Identification of influential spreaders in complex networks
- The origin of bursts and heavy tails in human dynamics
- Theory of Rumour Spreading in Complex Social Networks
- Activity driven modeling of time varying networks
- The Dynamics of Protest Recruitment through an Online Network
- Impact of non-Poisson activity patterns on spreading processes
- Absence of influential spreaders in rumor dynamics
- Modeling Rumors: The No Plane Pentagon French Hoax Case
- Efficiency and reliability of epidemic data dissemination in complex networks
- A measure of individual role in collective dynamics
- Human dynamics revealed through Web analytics
- Competing activation mechanisms in epidemics on networks
- Locating privileged spreaders on an Online Social Network
Cited by in corpus (16)
- Epidemic processes in complex networks
- Competing for Attention in Social Media under Information Overload Conditions
- Characterizing interactions in online social networks during exceptional events
- Studying Fake News Spreading, Polarisation Dynamics, and Manipulation by Bots: a Tale of Networks and Language
- Fast influencers in complex networks
- Committed activists and the reshaping of status-quo social consensus
- Anti-rumor dynamics and emergence of the timing threshold on complex network
- Rumor propagation with heterogeneous transmission in social networks
- Containing misinformation spreading in temporal social networks
- Rise of an alternative majority against opinion leaders
- Fake news and rumors: a trigger for proliferation or fading away
- Rumor propagation meets skepticism: a parallel with zombies
- The universality of physical images at relative timescales on multiplex networks
- Digital Epidemiology: A review
- Quantify Influence of Delay in Opinion Transmission of Opinion Leaders on COVID-19 Information Propagation in the Chinese Sina-microblog
- Leaders and obstacles raise cultural boundaries