[Networkit] NetworKit 4.2 Release

Kolja Esders kolja.esders at student.kit.edu
Tue Dec 13 23:29:06 CET 2016


Hi all,

we just released NetworKit 4.2.

These are the release notes:

NetworKit 4.2 Release

Today we announce the next version of NetworKit, the open-source toolkit
for large-scale network analysis. NetworKit is a Python package, with
performance-critical algorithms implemented in C++/OpenMP.

*Release notes*

Major:

   - New graph drawing algorithm for the Maxent-stress model; the algorithm
   can layout even large graphs quickly. It follows the paper by Gansner et
   al. with some modifications; the biggest deviation is the use of the LAMG
   solver for the Laplacian linear systems


   - Parallel implementation for the approximation of the neighborhood
   function; class has been refactored from ApproxNeighborhoodFunction to
   NeighborhoodFunctionApproximation.


   - New heuristic algorithm for the neighborhood function. It is based on
   sampling and the breadth-first search and offers more flexibility with
   regards to the tradeoff between running time and accuracy as the number of
   samples can be specified by the user. It is also much faster than the
   approximation algorithm for networks with a high diameter (e.g. road
   networks).


Minor:

   - Iterative implementation of components.StronglyConnectedComponents,
   which is now the new default. For graphs where edges have been deleted, it
   is recommended to use the recursive implementation, which is still
   available.


   - Removed heuristic for vertex diameter estimation from
   centrality.ApproxBetweenness (now the vertex diameter is estimated as
   suggested in Riondato, Kornaropoulos: *Fast approximation of betweenness
   centrality through sampling*)


   - Refactoring of the approximation algorithms in the distance group.
   ApproxNAME -> NAMEApproximation.
   - Simplified installation procedure: Install required dependencies
   automatically



Please let us know in case there are any issues.

Best
Yani and Kolja
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