Inner composition alignment for inferring directed networks from short time 
series

Hempel, S.; Koseska, A.; Kurths, Jürgen; Nikoloski, Z.

doi:10.1103/PhysRevLett.107.054101

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Inner composition alignment for inferring directed networks from short time series

Hempel, S., Koseska, A., Kurths, J., Nikoloski, Z. (2011): Inner composition alignment for inferring directed networks from short time series. - Physical Review Letters, 107, 54101.
https://doi.org/10.1103/PhysRevLett.107.054101

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_16962 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_16962_2

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Hempel, S.¹, Author
Koseska, A.¹, Author
Kurths, Jürgen², Author
Nikoloski, Z.¹, Author

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1Potsdam Institute for Climate Impact Research and Cooperation Partners, ou_persistent13
2Potsdam Institute for Climate Impact Research, ou_persistent13

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Dates: Finally published : 2011

Publication Status: Finally published

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Identifiers: DOI: 10.1103/PhysRevLett.107.054101
PIKDOMAIN: Transdisciplinary Concepts & Methods - Research Domain IV
eDoc: 4938

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Title: Physical Review Letters

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Pages: - Volume / Issue: 107 (54101) Sequence Number: - Start / End Page: - Identifier: -