Bursty communication patterns facilitate spreading in a threshold-based epidemic dynamics.
Records of social interactions provide us with new sources of data for understanding how interaction patterns affect collective dynamics. Such human activity patterns are often bursty, i.e., they consist of short periods of intense activity followed by long periods of silence. This burstiness has be...
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Public Library of Science (PLoS)
2013
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oai:doaj.org-article:74a06a70d10f46598f4a2100a2d03f2b2021-11-18T09:03:50ZBursty communication patterns facilitate spreading in a threshold-based epidemic dynamics.1932-620310.1371/journal.pone.0068629https://doaj.org/article/74a06a70d10f46598f4a2100a2d03f2b2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23894326/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Records of social interactions provide us with new sources of data for understanding how interaction patterns affect collective dynamics. Such human activity patterns are often bursty, i.e., they consist of short periods of intense activity followed by long periods of silence. This burstiness has been shown to affect spreading phenomena; it accelerates epidemic spreading in some cases and slows it down in other cases. We investigate a model of history-dependent contagion. In our model, repeated interactions between susceptible and infected individuals in a short period of time is needed for a susceptible individual to contract infection. We carry out numerical simulations on real temporal network data to find that bursty activity patterns facilitate epidemic spreading in our model.Taro TakaguchiNaoki MasudaPetter HolmePublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 7, p e68629 (2013) |
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Medicine R Science Q Taro Takaguchi Naoki Masuda Petter Holme Bursty communication patterns facilitate spreading in a threshold-based epidemic dynamics. |
description |
Records of social interactions provide us with new sources of data for understanding how interaction patterns affect collective dynamics. Such human activity patterns are often bursty, i.e., they consist of short periods of intense activity followed by long periods of silence. This burstiness has been shown to affect spreading phenomena; it accelerates epidemic spreading in some cases and slows it down in other cases. We investigate a model of history-dependent contagion. In our model, repeated interactions between susceptible and infected individuals in a short period of time is needed for a susceptible individual to contract infection. We carry out numerical simulations on real temporal network data to find that bursty activity patterns facilitate epidemic spreading in our model. |
format |
article |
author |
Taro Takaguchi Naoki Masuda Petter Holme |
author_facet |
Taro Takaguchi Naoki Masuda Petter Holme |
author_sort |
Taro Takaguchi |
title |
Bursty communication patterns facilitate spreading in a threshold-based epidemic dynamics. |
title_short |
Bursty communication patterns facilitate spreading in a threshold-based epidemic dynamics. |
title_full |
Bursty communication patterns facilitate spreading in a threshold-based epidemic dynamics. |
title_fullStr |
Bursty communication patterns facilitate spreading in a threshold-based epidemic dynamics. |
title_full_unstemmed |
Bursty communication patterns facilitate spreading in a threshold-based epidemic dynamics. |
title_sort |
bursty communication patterns facilitate spreading in a threshold-based epidemic dynamics. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2013 |
url |
https://doaj.org/article/74a06a70d10f46598f4a2100a2d03f2b |
work_keys_str_mv |
AT tarotakaguchi burstycommunicationpatternsfacilitatespreadinginathresholdbasedepidemicdynamics AT naokimasuda burstycommunicationpatternsfacilitatespreadinginathresholdbasedepidemicdynamics AT petterholme burstycommunicationpatternsfacilitatespreadinginathresholdbasedepidemicdynamics |
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1718420970836852736 |