# Old Release Log#

## NetworkX 2.5#

Release date: 22 August 2020

Supports Python 3.6, 3.7, and 3.8.

### Release notes#

See NetworkX 2.5.

## NetworkX 2.4#

Release date: 16 October 2019

Supports Python 3.5, 3.6, 3.7, and 3.8. This is the last release to support Python 3.5.

### Release notes#

See NetworkX 2.4.

## NetworkX 2.3#

Release date: 11 April 2019

Supports Python 3.5, 3.6 and 3.7. This is our first Python 3 only release.

### Release notes#

See NetworkX 2.3.

## NetworkX 2.2#

Release date: 19 September 2018

Supports Python 2.7, 3.5, 3.6 and 3.7. This is the last release to support Python 2.

### Release notes#

See NetworkX 2.2.

## NetworkX 2.1#

Release date: 22 January 2018

Supports Python 2.7, 3.4, 3.5, and 3.6.

### Release notes#

See NetworkX 2.1.

## NetworkX 2.0#

Release date: 20 September 2017

Support for Python 3.6 added, drop support for Python 3.3.

See Migration guide from 1.X to 2.0.

### Release notes#

See NetworkX 2.0.

## NetworkX 1.11#

Release date: 30 January 2016

Support for Python 3.5 added, drop support for Python 3.2.

### Highlights#

Pydot features now use pydotplus. Fixes installation on some machines and test with appveyor. Restores default center and scale of layout routines. Fixes various docs including no symbolic links in examples. Docs can now build using autosummary on readthedocs.org.

## NetworkX 1.10#

Release date: 2 August 2015

Support for Python 2.6 is dropped in this release.

### Highlights#

Connected components now return generators

new functions including

enumerate_all_cliques, greedy_coloring, edge_dfs, find_cycle immediate_dominators, harmonic_centrality

Hopcraft–Karp algorithm for maximum matchings

optimum branchings and arborescences.

all_simple_paths

pyparsing dependence removed from GML reader/parser

improve flow algorithms

new generators related to expander graphs.

new generators for multipartite graphs, nonisomorphic trees, circulant graphs

allow graph subclasses to use dict-like objects in place of dicts

added ordered graph subclasses

pandas dataframe read/write added.

data keyword in G.edges() allows requesting edge attribute directly

expanded layout flexibility for node subsets

Kanesky’s algorithm for cut sets and k_components

power function for graphs

approximation of node connectivity

transitive closure, triadic census and antichains

quotient graphs and minors

longest_path for DAGS

modularity matrix routines

### API changes#

See NetworkX 1.10.

## NetworkX 1.9.1#

Release date: 13 September 2014

Bugfix release for minor installation and documentation issues.

## NetworkX 1.9#

Release date: 21 June 2014

Support for Python 3.1 is dropped in this release.

### Highlights#

Completely rewritten maximum flow and flow-based connectivity algorithms with backwards incompatible interfaces

Community graph generators

Stoer–Wagner minimum cut algorithm

Linear-time Eulerian circuit algorithm

Linear algebra package changed to use SciPy sparse matrices

Algebraic connectivity, Fiedler vector, spectral ordering algorithms

Link prediction algorithms

Goldberg–Radzik shortest path algorithm

Semiconnected graph and tree recognition algorithms

### API changes#

See NetworkX 1.9.

## NetworkX 1.8.1#

Release date: 4 August 2013

Bugfix release for missing files in source packaging.

## NetworkX 1.8#

Release date: 28 July 2013

### Highlights#

Faster (linear-time) graphicality tests and Havel-Hakimi graph generators

Directed Laplacian matrix generator

Katz centrality algorithm

Functions to generate all simple paths

Improved shapefile reader

More flexible weighted projection of bipartite graphs

Faster topological sort, descendants and ancestors of DAGs

Scaling parameter for force-directed layout

### Bug fixes#

Error with average weighted connectivity for digraphs, correct normalized laplacian with self-loops, load betweenness for single node graphs, isolated nodes missing from dfs/bfs trees, normalize HITS using l1, handle density of graphs with self loops

Cleaner handling of current figure status with Matplotlib, Pajek files now don’t write troublesome header line, default alpha value for GEXF files, read curved edges from yEd GraphML

For full details of the issues closed for this release (added features and bug fixes) see: networkx/networkx#issues

### API changes#

See NetworkX 1.8

## 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 NetworkX 1.7

## 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 NetworkX 1.6.

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 NetworkX 1.6

## 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`

algorithmMore memory efficient

`Dijkstra path length`

with cutoff parameterRead and write version 1.2 of

`GEXF reader`

format

`Neighbor degree correlation`

that handle subsets of nodesMany ‘weighted’ graph algorithms now take optional parameter to use specified edge attribute (default=’weight’) (ticket https://networkx.lanl.gov/trac/ticket/509)

Test for

`distance regular`

graphsFast

`directed Erdős-Renyi graph`

generatorFast

`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 NetworkX 1.5

### Bug fixes#

Fix edge handling for multigraphs in networkx/graphviz interface (ticket https://networkx.lanl.gov/trac/ticket/507)

Update networkx/pydot interface for new versions of pydot (ticket https://networkx.lanl.gov/trac/ticket/506) (ticket https://networkx.lanl.gov/trac/ticket/535)

Fix negative cycle handling in Bellman-Ford (ticket https://networkx.lanl.gov/trac/ticket/502)

Write more attributes with GraphML and GML formats (ticket https://networkx.lanl.gov/trac/ticket/480)

Handle white space better in read_edgelist (ticket https://networkx.lanl.gov/trac/ticket/513)

Better parsing of Pajek format files (ticket https://networkx.lanl.gov/trac/ticket/524) (ticket https://networkx.lanl.gov/trac/ticket/542)

Isolates functions work with directed graphs (ticket https://networkx.lanl.gov/trac/ticket/526)

Faster conversion to numpy matrices (ticket https://networkx.lanl.gov/trac/ticket/529)

Add graph[‘name’] and use properties to access Graph.name (ticket https://networkx.lanl.gov/trac/ticket/544)

Topological sort confused None and 0 (ticket https://networkx.lanl.gov/trac/ticket/546)

GEXF writer mishandled weight=0 (ticket https://networkx.lanl.gov/trac/ticket/550)

Speedup in SciPy version of PageRank (ticket https://networkx.lanl.gov/trac/ticket/554)

Numpy PageRank node order incorrect + speedups (ticket https://networkx.lanl.gov/trac/ticket/555)

## NetworkX 1.4#

Release date: 23 January 2011

### New features#

`chordal graph functions`

`Prim's algorithm for minimum spanning tree`

NumPy matrix version of

`Floyd's algorithm for all-pairs shortest path`

`read GIS shapefiles`

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#

## 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).

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#

## NetworkX 1.2#

Release date: 28 July 2010

See: https://networkx.lanl.gov/trac/timeline

### New features#

`Functions for isolates`

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#

`Blockmodeling`

`Assortativity and mixing matrices`

`in-degree and out-degree centrality`

`Attracting components`

and`condensation`

.

`Weakly connected components`

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()
{'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#

### 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 betweenness_centrality for undirected graphs correctly

Normalize eigenvector_centrality by l2 norm

`read_gml()`

now returns multigraphs

## 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 significant 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’s 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#

This release has significant 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/

## NetworkX 0.37#

Release date: 17 August 2008

See: https://networkx.lanl.gov/trac/timeline

NetworkX now requires Python 2.4 or later for full functionality.

### New features#

Edge coloring and node line widths with Matplotlib drawings

Update pydot functions to work with pydot-1.0.2

Maximum-weight matching algorithm

Ubigraph interface for 3D OpenGL layout and drawing

Pajek graph file format reader and writer

p2g graph file format reader and writer

Secondary sort in topological sort

### Bug fixes#

Better edge data handling with GML writer

Edge betweenness fix for XGraph with default data of None

Handle Matplotlib version strings (allow “pre”)

Interface to PyGraphviz (to_agraph()) now handles parallel edges

Fix bug in copy from XGraph to XGraph with multiedges

Use SciPy sparse lil matrix format instead of coo format

Clear up ambiguous cases for Barabasi-Albert model

Better care of color maps with Matplotlib when drawing colored nodes and edges

Fix error handling in layout.py

### Examples#

Ubigraph examples showing 3D drawing

## NetworkX 0.36#

Release date: 13 January 2008

See: https://networkx.lanl.gov/trac/timeline

### New features#

GML format graph reader, tests, and example (football.py)

edge_betweenness() and load_betweenness()

### Bug fixes#

remove obsolete parts of pygraphviz interface

improve handling of Matplotlib version strings

write_dot() now writes parallel edges and self loops

is_bipartite() and bipartite_color() fixes

configuration model speedup using random.shuffle()

convert with specified nodelist now works correctly

vf2 isomorphism checker updates

## NetworkX 0.35.1#

Release date: 27 July 2007

See: https://networkx.lanl.gov/trac/timeline

Small update to fix import readwrite problem and maintain Python2.3 compatibility.

## NetworkX 0.35#

Release date: 22 July 2007

See: https://networkx.lanl.gov/trac/timeline

### New features#

algorithms for strongly connected components.

Brandes betweenness centrality algorithm (weighted and unweighted versions)

closeness centrality for weighted graphs

dfs_preorder, dfs_postorder, dfs_tree, dfs_successor, dfs_predecessor

readers for GraphML, LEDA, sparse6, and graph6 formats.

allow arguments in graphviz_layout to be passed directly to graphviz

### Bug fixes#

more detailed installation instructions

replaced dfs_preorder,dfs_postorder (see search.py)

allow initial node positions in spectral_layout

report no error on attempting to draw empty graph

report errors correctly when using tuples as nodes #114

handle conversions from incomplete dict-of-dict data

## NetworkX 0.34#

Release date: 12 April 2007

See: https://networkx.lanl.gov/trac/timeline

### New features#

benchmarks for graph classes

Brandes betweenness centrality algorithm

Dijkstra predecessor and distance algorithm

xslt to convert DIA graphs to NetworkX

number_of_edges(u,v) counts edges between nodes u and v

run tests with python setup_egg.py test (needs setuptools) else use python -c “import networkx; networkx.test()”

is_isomorphic() that uses vf2 algorithm

### Bug fixes#

speedups of neighbors()

simplified Dijkstra’s algorithm code

better exception handling for shortest paths

get_edge(u,v) returns None (instead of exception) if no edge u-v

floyd_warshall_array fixes for negative weights

bad G467, docs, and unittest fixes for graph atlas

don’t put nans in numpy or scipy sparse adjacency matrix

handle get_edge() exception (return None if no edge)

remove extra kwds arguments in many places

no multi counting edges in conversion to dict of lists for multigraphs

allow passing tuple to get_edge()

bad parameter order in node/edge betweenness

edge betweenness doesn’t fail with XGraph

don’t throw exceptions for nodes not in graph (silently ignore instead) in edges_* and degree_*

## NetworkX 0.33#

Release date: 27 November 2006

See: https://networkx.lanl.gov/trac/timeline

### New features#

draw edges with specified colormap

more efficient version of Floyd’s algorithm for all pairs shortest path

use numpy only, Numeric is deprecated

include tests in source package (networkx/tests)

include documentation in source package (doc)

- tests can now be run with
>>> import networkx >>> networkx.test()

### Bug fixes#

read_gpickle now works correctly with Windows

refactored large modules into smaller code files

degree(nbunch) now returns degrees in same order as nbunch

degree() now works for multiedges=True

update node_boundary and edge_boundary for efficiency

edited documentation for graph classes, now mostly in info.py

### Examples#

Draw edges with colormap

## NetworkX 0.32#

Release date: 29 September 2006

See: https://networkx.lanl.gov/trac/timeline

### New features#

Update to work with numpy-1.0x

Make egg usage optional: use python setup_egg.py bdist_egg to build egg

Generators and functions for bipartite graphs

Experimental classes for trees and forests

Support for new pygraphviz update (in nx_agraph.py) , see http://networkx.lanl.gov/pygraphviz/ for pygraphviz details

### Bug fixes#

Handle special cases correctly in triangles function

Typos in documentation

Handle special cases in shortest_path and shortest_path_length, allow cutoff parameter for maximum depth to search

Update examples: erdos_renyi.py, miles.py, roget,py, eigenvalues.py

### Examples#

Expected degree sequence

New pygraphviz interface

## NetworkX 0.31#

Release date: 20 July 2006

See: https://networkx.lanl.gov/trac/timeline

### New features#

arbitrary node relabeling (use relabel_nodes)

conversion of NetworkX graphs to/from Python dict/list types, numpy matrix or array types, and scipy_sparse_matrix types

generator for random graphs with given expected degree sequence

### Bug fixes#

Allow drawing graphs with no edges using pylab

Use faster heapq in dijkstra

Don’t complain if X windows is not available

### Examples#

update drawing examples

## NetworkX 0.30#

Release date: 23 June 2006

See: https://networkx.lanl.gov/trac/timeline

### New features#

update to work with Python 2.5

bidirectional version of shortest_path and Dijkstra

single_source_shortest_path and all_pairs_shortest_path

s-metric and experimental code to generate maximal s-metric graph

double_edge_swap and connected_double_edge_swap

Floyd’s algorithm for all pairs shortest path

read and write unicode graph data to text files

read and write YAML format text files, http://yaml.org

### Bug fixes#

speed improvements (faster version of subgraph, is_connected)

added cumulative distribution and modified discrete distribution utilities

report error if DiGraphs are sent to connected_components routines

removed with_labels keywords for many functions where it was causing confusion

function name changes in shortest_path routines

saner internal handling of nbunch (node bunches), raise an exception if an nbunch isn’t a node or iterable

better keyword handling in io.py allows reading multiple graphs

don’t mix Numeric and numpy arrays in graph layouts and drawing

avoid automatically rescaling matplotlib axes when redrawing graph layout

### Examples#

unicode node labels

## NetworkX 0.29#

Release date: 28 April 2006

See: https://networkx.lanl.gov/trac/timeline

### New features#

Algorithms for betweenness, eigenvalues, eigenvectors, and spectral projection for threshold graphs

Use numpy when available

dense_gnm_random_graph generator

Generators for some directed graphs: GN, GNR, and GNC by Krapivsky and Redner

Grid graph generators now label by index tuples. Helper functions for manipulating labels.

relabel_nodes_with_function

### Bug fixes#

Betweenness centrality now correctly uses Brandes definition and has normalization option outside main loop

Empty graph now labeled as empty_graph(n)

shortest_path_length used python2.4 generator feature

degree_sequence_tree off by one error caused nonconsecutive labeling

periodic_grid_2d_graph removed in favor of grid_2d_graph with periodic=True

## NetworkX 0.28#

Release date: 13 March 2006

See: https://networkx.lanl.gov/trac/timeline

### New features#

Option to construct Laplacian with rows and columns in specified order

Option in convert_node_labels_to_integers to use sorted order

predecessor(G,n) function that returns dictionary of nodes with predecessors from breadth-first search of G starting at node n. https://networkx.lanl.gov/trac/ticket/26

### Examples#

Formation of giant component in binomial_graph:

Chess masters matches:

Gallery https://networkx.org/documentation/latest/auto_examples/index.html

### Bug fixes#

- Adjusted names for random graphs.

erdos_renyi_graph=binomial_graph=gnp_graph: n nodes with edge probability p

gnm_graph: n nodes and m edges

fast_gnp_random_graph: gnp for sparse graphs (small p)

Documentation contains correct spelling of Barabási, Bollobás, Erdős, and Rényi in UTF-8 encoding

Increased speed of connected_components and related functions by using faster BFS algorithm in networkx.paths https://networkx.lanl.gov/trac/ticket/27

XGraph and XDiGraph with multiedges=True produced error on delete_edge

Cleaned up docstring errors

Normalize names of some graphs to produce strings that represent calling sequence

## NetworkX 0.27#

Release date: 5 February 2006

See: https://networkx.lanl.gov/trac/timeline

### New features#

sparse_binomial_graph: faster graph generator for sparse random graphs

read/write routines in io.py now handle XGraph() type and gzip and bzip2 files

optional mapping of type for read/write routine to allow on-the-fly conversion of node and edge datatype on read

Substantial changes related to digraphs and definitions of neighbors() and edges(). For digraphs edges=out_edges. Neighbors now returns a list of neighboring nodes with possible duplicates for graphs with parallel edges See https://networkx.lanl.gov/trac/ticket/24

Addition of out_edges, in_edges and corresponding out_neighbors and in_neighbors for digraphs. For digraphs edges=out_edges.

### Examples#

Minard’s data for Napoleon’s Russian campaign

### Bug fixes#

XGraph(multiedges=True) returns a copy of the list of edges for get_edge()

## NetworkX 0.26#

Release date: 6 January 2006

### New features#

Simpler interface to drawing with pylab

G.info(node=None) function returns short information about graph or node

adj_matrix now takes optional nodelist to force ordering of rows/columns in matrix

optional pygraphviz and pydot interface to graphviz is now callable as “graphviz” with pygraphviz preferred. Use draw_graphviz(G).

### Examples#

Several new examples showing how draw to graphs with various properties of nodes, edges, and labels

### Bug fixes#

Default data type for all graphs is now None (was the integer 1)

add_nodes_from now won’t delete edges if nodes added already exist

Added missing names to generated graphs

Indexes for nodes in graphs start at zero by default (was 1)

## NetworkX 0.25#

Release date: 5 December 2005

### New features#

Uses setuptools for installation http://peak.telecommunity.com/DevCenter/setuptools

Improved testing infrastructure, can now run python setup.py test

Added interface to draw graphs with pygraphviz https://networkx.lanl.gov/pygraphviz/

is_directed() function call

### Examples#

Email example shows how to use XDiGraph with Python objects as edge data

### Documentation#

Reformat menu, minor changes to Readme, better stylesheet

### Bug fixes#

use create_using= instead of result= keywords for graph types in all cases

missing weights for degree 0 and 1 nodes in clustering

configuration model now uses XGraph, returns graph with identical degree sequence as input sequence

fixed Dijkstra priority queue

fixed non-recursive toposort and is_directed_acyclic graph

## NetworkX 0.24#

Release date: 20 August 2005

### Bug fixes#

Update of Dijkstra algorithm code

dfs_successor now calls proper search method

Changed to list comprehension in DiGraph.reverse() for python2.3 compatibility

Barabasi-Albert graph generator fixed

Attempt to add self loop should add node even if parallel edges not allowed

## NetworkX 0.23#

Release date: 14 July 2005

The NetworkX web locations have changed:

http://networkx.lanl.gov/ - main documentation site http://networkx.lanl.gov/svn/ - subversion source code repository https://networkx.lanl.gov/trac/ - bug tracking and info

### Important Change#

The naming conventions in NetworkX have changed. The package name “NX” is now “networkx”.

The suggested ways to import the NetworkX package are

import networkx

import networkx as NX

from networkx import *

### New features#

DiGraph reverse

- Graph generators

watts_strogatz_graph now does rewiring method

old watts_strogatz_graph->newman_watts_strogatz_graph

### Examples#

### Documentation#

Changed to reflect NX-networkx change

main site is now https://networkx.lanl.gov/

### Bug fixes#

Fixed logic in io.py for reading DiGraphs.

Path based centrality measures (betweenness, closeness) modified so they work on graphs that are not connected and produce the same result as if each connected component were considered separately.

## NetworkX 0.22#

Release date: 17 June 2005

### New features#

Topological sort, testing for directed acyclic graphs (DAGs)

Dijkstra’s algorithm for shortest paths in weighted graphs

Multidimensional layout with dim=n for drawing

3d rendering demonstration with vtk

- Graph generators

random_powerlaw_tree

dorogovtsev_goltsev_mendes_graph

### Examples#

Kevin Bacon movie actor graph: Examples/kevin_bacon.py

Compute eigenvalues of graph Laplacian: Examples/eigenvalues.py

Atlas of small graphs: Examples/atlas.py

### Documentation#

Rewrite of setup scripts to install documentation and tests in documentation directory specified

### Bug fixes#

Handle calls to edges() with non-node, non-iterable items.

truncated_tetrahedral_graph was just plain wrong

Speedup of betweenness_centrality code

bfs_path_length now returns correct lengths

Catch error if target of search not in connected component of source

Code cleanup to label internal functions with _name

Changed import statement lines to always use “import NX” to protect name-spaces

Other minor bug-fixes and testing added