Release Log
Networkx-1.7
Release date: 4 July 2012
Highlights
New functions for k-clique community finding, flow hierarchy, union, disjoint union, compose, and intersection operators that work on lists of graphs, and creating the biadjacency matrix of a bipartite graph.
New approximation algorithms for dominating set, edge dominating set, independent set, max clique, and min-weighted vertex cover.
Many bug fixes and other improvements.
For full details of the tickets closed for this release (added features and bug fixes) see: https://networkx.lanl.gov/trac/query?status=closed&group=milestone&milestone=networkx-1.7
API Changes
See Version 1.7 notes and API changes
Based on PR 46506 by Wen Heping.
* let to register egg-info.
* marked as incompatible with python 2.5, as new features in 1.3.
but not marked as compatible with 3.x, one file will not be compiled well
both 3.1 and 3.2.
Lease Log:
Networkx-1.6
Release date: 20 November 2011
Highlights
New functions for finding articulation points, generating random bipartite
graphs, constructing adjacency matrix representations, forming graph products,
computing assortativity coefficients, measuring subgraph centrality and
communicability, finding k-clique communities, and writing JSON format output.
New examples for drawing with D3 Javascript library, and ordering matrices with
the Cuthill-McKee algorithm.
More memory efficient implementation of current-flow betweenness and new
approximation algorithms for current-flow betweenness and shortest-path
betweenness.
Simplified handling of "weight" attributes for algorithms that use
weights/costs/values. See Version 1.6 notes and API changes.
Updated all code to work with the PyPy Python implementation http://pypy.org
which produces faster performance on many algorithms.
For full details of the tickets closed for this release (added features and bug
fixes) see: https://networkx.lanl.gov/trac/query?status=closed&group=milestone&milestone=networkx-1.6
API Changes
See Version 1.6 notes and API changes:
http://networkx.lanl.gov/reference/api_1.6.html
Networkx-1.5
Release date: 4 June 2011
For full details of the tickets closed for this release see: https://networkx.lanl.gov/trac/query?status=closed&group=milestone&milestone=networkx-1.5
Highlights
New features
* Algorithms for generating and analyzing bipartite graphs
* Maximal independent set algorithm
* Erd?s-Gallai graphical degree sequence test
* Negative edge cycle test
* More memory efficient Dijkstra path length with cutoff parameter
* Weighted clustering coefficient
* Read and write version 1.2 of GEXF reader format
* Neighbor degree correlation that handle subsets of nodes
* In-place node relabeling
* Many `weighted' graph algorithms now take optional parameter to use
specified edge attribute (default=`weight') (ticket 509)
* Test for distance regular graphs
* Fast directed Erd?s-Renyi graph generator
* Fast expected degree graph generator
* Navigable small world generator
* Waxman model generator
* Geographical threshold graph generator
* Karate Club, Florentine Families, and Davis' Women's Club graphs
API Changes
See Version 1.5 notes and API changes
http://networkx.lanl.gov/reference/api_1.5.html
Bug fixes
* Fix edge handling for multigraphs in networkx/graphviz interface
(ticket 507)
* Update networkx/pydot interface for new versions of pydot
(ticket 506), (ticket 535)
* Fix negative cycle handling in Bellman-Ford (ticket 502)
* Write more attributes with GraphML and GML formats (ticket 480)
* Handle white space better in read_edgelist (ticket 513)
* Better parsing of Pajek format files (ticket 524) (ticket 542)
* Isolates functions work with directed graphs (ticket 526)
* Faster conversion to numpy matrices (ticket 529)
* Add graph[`name'] and use properties to access Graph.name (ticket 544)
* Topological sort confused None and 0 (ticket 546)
* GEXF writer mishandled weight=0 (ticket 550)
* Speedup in SciPy version of PageRank (ticket 554)
* Numpy PageRank node order incorrect + speedups (ticket 555)
Networkx-1.4
Release date: 23 January 2011
New features
* k-shell,k-crust,k-corona
* read GraphML files from yEd
* read/write GEXF format files
* find cycles in a directed graph
* DFS and BFS algorithms
* chordal graph functions
* Prim's algorithm for minimum spanning tree
* r-ary tree generator
* rich club coefficient
* NumPy matrix version of Floyd's algorithm for all-pairs shortest path
* read GIS shapefiles
* functions to get and set node and edge attributes
* and more, see https://networkx.lanl.gov/trac/query?status=closed&group=milestone&milestone=networkx-1.4
API Changes
* gnp_random_graph() now takes a directed=True|False keyword instead of
create_using
* gnm_random_graph() now takes a directed=True|False keyword instead of
create_using
Bug fixes
* see https://networkx.lanl.gov/trac/query?status=closed&group=milestone&milestone=networkx-1.4
Networkx-1.3
Release date: 28 August 2010
See: https://networkx.lanl.gov/trac/timeline
New features
* Works with Python versions 2.6, 2.7, 3.1, and 3.2 (but not 2.4 and 2.5).
* Minimum cost flow algorithms
* Bellman-Ford shortest paths
* GraphML reader and writer
* More exception/error types
* Updated many tests to unittest style. Run with:
"import networkx; networkx.test()" (requires nose testing package)
* and more, see https://networkx.lanl.gov/trac/query?status=closed&group=milestone&milestone=networkx-1.3
API Changes
* minimum_spanning_tree() now returns a NetworkX Graph (a tree or forest)
Bug fixes
* see https://networkx.lanl.gov/trac/query?status=closed&group=milestone&milestone=networkx-1.3
From PR pkg/43790 by Kamel Derouiche
pkgsrc changes:
- re-set LICENSE (modified-bsd).
upstream changes:
Networkx-1.2
Release date: 28 July 2010
See: https://networkx.lanl.gov/trac/timeline
New features
* Ford-Fulkerson max flow and min cut
* Closness vitality
* Eulerian circuits
* Functions for isolates
* Simpler s_max generator
* Compatible with IronPython-2.6
* Improved testing functionality: import networkx; networkx.test() tests
entire package and skips tests with missing optional packages
* All tests work with Python-2.4
* and more, see
https://networkx.lanl.gov/trac/query?status=closed&group=milestone&milestone=networkx-1.2
Networkx-1.1
Release date: 21 April 2010
See: https://networkx.lanl.gov/trac/timeline
New features
* Algorithm for finding a basis for graph cycles
* Blockmodeling
* Assortativity and mixing matrices
* in-degree and out-degree centrality
* Attracting components and condensation.
* Weakly connected components
* Simpler interface to shortest path algorithms
* Edgelist format to read and write data with attributes
* Attribute matrices
* GML reader for nested attributes
* Current-flow (random walk) betweenness and closeness.
* Directed configuration model, and directed random graph model.
* Improved documentation of drawing, shortest paths, and other
algorithms
* Many more tests, can be run with ?import networkx; networkx.test()?
* and much more, see
https://networkx.lanl.gov/trac/query?status=closed&group=milestone&milestone=networkx-1.1
API Changes
Returning dictionaries
Several of the algorithms and the degree() method now return dictionaries keyed
by node instead of lists. In some cases there was a with_labels keyword which is
no longer necessary. For example,
>>> G=nx.Graph()
>>> G.add_edge('a','b')
>>> G.degree() # returns dictionary of degree keyed by node
{'a': 1, 'b': 1}
Asking for the degree of a single node still returns a single number
>>> G.degree('a')
1
The following now return dictionaries by default (instead of lists) and the
with_labels keyword has been removed:
* Graph.degree(), MultiGraph.degree(), DiGraph.degree(),
DiGraph.in_degree(), DiGraph.out_degree(), MultiDiGraph.degree(),
MultiDiGraph.in_degree(), MultiDiGraph.out_degree().
* clustering(), triangles()
* node_clique_number(), number_of_cliques(), cliques_containing_node()
* eccentricity()
The following now return dictionaries by default (instead of lists)
* pagerank()
* hits()
Adding nodes
add_nodes_from now accepts (node,attrdict) two-tuples
>>> G=nx.Graph()
>>> G.add_nodes_from([(1,{'color':'red'})])
Examples
* Mayvi2 drawing
* Blockmodel
* Sampson?s monastery
* Ego graph
Bug fixes
* Support graph attributes with union, intersection, and other graph
operations
* Improve subgraph speed (and related algorithms such as
connected_components_subgraphs())
* Handle multigraphs in more operators (e.g. union)
* Handle double-quoted labels with pydot
* Normalize betweeness_centrality for undirected graphs correctly
* Normalize eigenvector_centrality by l2 norm
* read_gml() now returns multigraphs
Based on PR#42834 by Wen Heping.
Update MASTER_SITES, set LICENSE=modified-bsd, 3-caulse BSD.
======================================================================
Networkx-1.0.1
Release date: 11 Jan 2010
See: https://networkx.lanl.gov/trac/timeline
Bug fix release for missing setup.py in manifest.
======================================================================
Networkx-1.0
Release date: 8 Jan 2010
See: https://networkx.lanl.gov/trac/timeline
New features
This release has sigificant changes to parts of the graph API to allow graph, node, and edge attributes. See http://networkx.lanl.gov//reference/api_changes.html
* Update Graph, DiGraph, and MultiGraph classes to allow attributes.
* Default edge data is now an empty dictionary (was the integer 1)
* Difference and intersection operators
* Average shortest path
* A* (A-Star) algorithm
* PageRank, HITS, and eigenvector centrality
* Read Pajek files
* Line graphs
* Minimum spanning tree (Kruskal¡Çs algorithm)
* Dense and sparse Fruchterman-Reingold layout
* Random clustered graph generator
* Directed scale-free graph generator
* Faster random regular graph generator
* Improved edge color and label drawing with Matplotlib
* and much more, see https://networkx.lanl.gov/trac/query?status=closed&group=milestone&milestone=networkx-1.0
Examples
* Update to work with networkx-1.0 API
* Graph subclass example
======================================================================
Networkx-0.99
Release date: 18 November 2008
See: https://networkx.lanl.gov/trac/timeline
New features¢ù
This release has sigificant changes to parts of the graph API. See http://networkx.lanl.gov//reference/api_changes.html
* Update Graph and DiGraph classes to use weighted graphs as default Change in API for performance and code simplicity.
* New MultiGraph and MultiDiGraph classes (replace XGraph and XDiGraph)
* Update to use Sphinx documentation system http://networkx.lanl.gov/
* Developer site at https://networkx.lanl.gov/trac/
* Experimental LabeledGraph and LabeledDiGraph
* Moved package and file layout to subdirectories.
Bug fixes
* handle root= option to draw_graphviz correctly
Examples
* Update to work with networkx-0.99 API
* Drawing examples now use matplotlib.pyplot interface
* Improved drawings in many examples
* New examples - see http://networkx.lanl.gov/examples/
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