Inferring infection rate based on observations in complex networks

Su, Z.; Liu, F.; Gao, C.; Gao, S.; Li, X.

doi:10.1016/j.chaos.2017.12.029

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Inferring infection rate based on observations in complex networks

Su, Z., Liu, F., Gao, C., Gao, S., Li, X. (2018): Inferring infection rate based on observations in complex networks. - Chaos, Solitons & Fractals, 107, 170-176.
https://doi.org/10.1016/j.chaos.2017.12.029

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_22425 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_22425_2

Genre: Journal Article

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Creators:
Su, Z.¹, Author
Liu, F.¹, Author
Gao, C.¹, Author
Gao, S.¹, Author
Li, X.¹, Author

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1Potsdam Institute for Climate Impact Research and Cooperation Partners, ou_persistent13

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Dates: Finally published : 2018

Publication Status: Finally published

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Identifiers: DOI: 10.1016/j.chaos.2017.12.029
PIKDOMAIN: Transdisciplinary Concepts & Methods - Research Domain IV
eDoc: 8077
Working Group: Network- and machine-learning-based prediction of extreme events

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Title: Chaos, Solitons & Fractals

Source Genre: Journal

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Pages: - Volume / Issue: 107 Sequence Number: - Start / End Page: 170 - 176 Identifier: -