Spreading of infection on temporal networks: an edge-centered perspective
dc.contributor.author | Koher, Andreas | |
dc.contributor.author | Gleeson, James P. | |
dc.contributor.author | Hövel, Philipp | |
dc.contributor.funder | Deutsche Forschungsgemeinschaft | en |
dc.contributor.funder | Deutscher Akademischer Austauschdienst | en |
dc.contributor.funder | Science Foundation Ireland | en |
dc.date.accessioned | 2020-04-29T14:18:12Z | |
dc.date.available | 2020-04-29T14:18:12Z | |
dc.date.issued | 2019-10-30 | |
dc.date.updated | 2020-04-28T08:01:24Z | |
dc.description.abstract | We discuss a continuous-time extension of the contact-based (CB) model, as proposed in [Koher et al. Phys. Rev. X 9, 031017 (2019)], for infections with permanent immunity on temporal networks. At the core of our methodology is a fundamental change to an edge-centered perspective, which allows for an accurate model on temporal networks, where the underlying time-aggregated graph has a tree structure. From the continuous-time CB model, we derive the infection propagator for the low prevalence limit and propose a novel spectral criterion to estimate the epidemic threshold. In addition, we explore the relation between the continuous-time CB model and the previously proposed edge-based compartmental model, as well as the message-passing framework. | en |
dc.description.sponsorship | Deutsche Forschungsgmeinschaft ((DFG) in the framework of Collaborative Research Center 910); Deutscher Akademischer Austauschdienst (German Academic Exchange Service (DAAD) short-term scholarship); Science Foundation Ireland (grant numbers 16/IA/4470 and 16/RC/3918). | en |
dc.description.status | Peer reviewed | en |
dc.description.version | Accepted Version | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Koher, A., Gleeson, J. P. and Hövel, P. (2019) 'Spreading of infection on temporal networks: an edge-centered perspective', in Holme, P. and Saramäki, J. (eds), Temporal Network Theory, Cham: Springer, pp. 235-252. doi: 10.1007/978-3-030-23495-9_13 | en |
dc.identifier.doi | 10.1007/978-3-030-23495-9_13 | en |
dc.identifier.endpage | 252 | en |
dc.identifier.isbn | 978-3-030-23494-2 | |
dc.identifier.startpage | 235 | en |
dc.identifier.uri | https://hdl.handle.net/10468/9888 | |
dc.language.iso | en | en |
dc.publisher | Springer | en |
dc.relation.ispartof | Temporal Network Theory | |
dc.relation.uri | https://link.springer.com/chapter/10.1007/978-3-030-23495-9_13 | |
dc.rights | © Springer Nature Switzerland AG 2019. This is a post-peer-review, pre-copyedit version of a book chapter published in Temporal Network Theory. Computational Social Sciences. The final authenticated version is available online at: http://dx.doi.org/10.1007/978-3-030-23495-9_13 | en |
dc.subject | Epidemic spreading | en |
dc.subject | Temporal networks | en |
dc.subject | Epidemic threshold | en |
dc.subject | Infection propagator | en |
dc.subject | Spectral radius | en |
dc.subject | Non-backtracking matrix | en |
dc.title | Spreading of infection on temporal networks: an edge-centered perspective | en |
dc.type | Article (peer-reviewed) | en |