Impacts of Opinion Leaders on Social Contagions

@article{Liu2018ImpactsOO,
  title={Impacts of Opinion Leaders on Social Contagions},
  author={Quan-Hui Liu and Fengyong L{\"u} and Q. Zhang and Ming Tang and Tao Zhou},
  journal={Chaos},
  year={2018},
  volume={28 5},
  pages={
          053103
        }
}
Opinion leaders are ubiquitous in both online and offline social networks, but the impacts of opinion leaders on social behavior contagions are still not fully understood, especially by using a mathematical model. Here, we generalize the classical Watts threshold model and address the influences of the opinion leaders, where an individual adopts a new behavior if one of his/her opinion leaders adopts the behavior. First, we choose the opinion leaders randomly from all individuals in the network… Expand
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References

SHOWING 1-10 OF 98 REFERENCES
Identification of effective opinion leaders in the diffusion of technological innovation: A social network approach
Opinion leaders are the people in a social network who have the greatest influence on other people's acknowledgment or adoption of products/services in the diffusion process of technologicalExpand
Opinion Leadership and Social Contagion in New Product Diffusion
TLDR
There is evidence of contagion operating over network ties, even after controlling for marketing effort and arbitrary systemwide changes, and sociometric and self-reported measures of leadership are weakly correlated and associated with different kinds of adoption-related behaviors. Expand
Opinion Leaders' Role in Innovation Diffusion: A Simulation Study
This study investigates the critical role that opinion leaders (or influentials) play in the adoption process of new products. Recent existing reseach evidence indicates a limited effect of opinionExpand
Spreading in online social networks: the role of social reinforcement.
TLDR
A unknown-known-approved-exhausted four-status model is proposed, which emphasizes the effect of social reinforcement and assumes that the redundant signals can improve the probability of approval (i.e., the spreading rate), and can well explain the results of Centola's experiments on behavior spreading and some former studies on information spreading in different parameter space. Expand
Opinion dynamics on interacting networks: media competition and social influence
TLDR
This work introduces a sophisticated computational model of opinion dynamics which accounts for the coexistence of media and gossip as separated mechanisms and for their feedback loops and shows that plurality and competition within information sources lead to stable configurations where several and distant cultures coexist. Expand
Leaders in Social Networks, the Delicious Case
TLDR
It is shown that LeaderRank outperforms PageRank in terms of ranking effectiveness, as well as robustness against manipulations and noisy data, which suggest that leaders who are aware of their clout may reinforce the development of social networks, and thus the power of collective search. Expand
Convergence to consensus in heterogeneous groups and the emergence of informal leadership
TLDR
It is shown that within-group heterogeneity can significantly delay democratic consensus building as well as give rise to the emergence of informal leaders, i.e. individuals with a disproportionately large impact on group decisions. Expand
Impacts of complex behavioral responses on asymmetric interacting spreading dynamics in multiplex networks
TLDR
It is found that this complex adoption behavior in the communication layer can significantly enhance the epidemic threshold and reduce the final infection rate. Expand
Trend-driven information cascades on random networks
  • Teruyoshi Kobayashi
  • Computer Science, Physics
  • Physical review. E, Statistical, nonlinear, and soft matter physics
  • 2015
TLDR
The model shows that global nodes play a role as accelerating cascades once a trend emerges while reducing the probability of a trend emerging, suggesting that a moderate share of trend followers may maximize the average size of cascades. Expand
Dynamics of social contagions with memory of non-redundant information
TLDR
A general social contagion model with reinforcement derived from nonredundant information memory is proposed and a unified edge-based compartmental theory is developed to analyze this model, and a remarkable agreement with numerics is obtained on some specific models. Expand
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