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disparityfilter

Disparity Filter Algorithm for Weighted Networks

v2.2.3 · Apr 19, 2016 · GPL (>= 2)

Description

The disparity filter algorithm is a network reduction technique to identify the 'backbone' structure of a weighted network without destroying its multi-scale nature. The algorithm is documented in M. Angeles Serrano, Marian Boguna and Alessandro Vespignani in "Extracting the multiscale backbone of complex weighted networks", Proceedings of the National Academy of Sciences 106 (16), 2009. This implementation of the algorithm supports both directed and undirected networks.

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r-devel-windows-x86_64 OK
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OK r-devel-linux-x86_64-debian-clang

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OK r-devel-linux-x86_64-debian-gcc

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OK r-devel-linux-x86_64-fedora-clang

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OK r-devel-linux-x86_64-fedora-gcc

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OK r-devel-macos-arm64

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OK r-devel-windows-x86_64

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NOTE r-oldrel-macos-arm64

LazyData

  'LazyData' is specified without a 'data' directory
NOTE r-oldrel-macos-x86_64

LazyData

  'LazyData' is specified without a 'data' directory
NOTE r-oldrel-windows-x86_64

LazyData

  'LazyData' is specified without a 'data' directory
OK r-patched-linux-x86_64

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OK r-release-linux-x86_64

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OK r-release-macos-arm64

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OK r-release-macos-x86_64

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OK r-release-windows-x86_64

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Check History

NOTE 11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-oldrel-macos-arm64

LazyData

  'LazyData' is specified without a 'data' directory
NOTE r-oldrel-macos-x86_64

LazyData

  'LazyData' is specified without a 'data' directory
NOTE r-oldrel-windows-x86_64

LazyData

  'LazyData' is specified without a 'data' directory

Dependency Network

Dependencies Reverse dependencies igraph disparityfilter

Version History

new 2.2.3 Mar 10, 2026