Probing empirical contact networks by simulation of spreading dynamics

@article{Holme2018ProbingEC,
  title={Probing empirical contact networks by simulation of spreading dynamics},
  author={Petter Holme},
  journal={arXiv: Populations and Evolution},
  year={2018},
  pages={109-124}
}
  • Petter Holme
  • Published 2018
  • Biology, Physics
  • arXiv: Populations and Evolution
  • Disease, opinions, ideas, gossip, etc. all spread on social networks. How these networks are connected (the network structure) influences the dynamics of the spreading processes. By investigating these relationships one gains understanding both of the spreading itself and the structure and function of the contact network. In this chapter, we will summarize the recent literature using simulation of spreading processes on top of empirical contact data. We will mostly focus on disease simulations… CONTINUE READING
    26
    Twitter Mentions

    Figures and Tables from this paper.

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 95 REFERENCES

    Temporal network structures controlling disease spreading.

    • Petter Holme
    • Biology, Physics, Medicine
    • Physical review. E
    • 2016

    Threshold model of cascades in temporal networks

    Virality Prediction and Community Structure in Social Networks

    Effects of temporal correlations on cascades: Threshold models on temporal networks

    Simulated Epidemics in an Empirical Spatiotemporal Network of 50,185 Sexual Contacts

    Epidemiologically Optimal Static Networks from Temporal Network Data

    • Petter Holme
    • Computer Science, Medicine, Physics, Biology
    • PLoS Computational Biology
    • 2013

    Benchmarking Measures of Network Influence