What can I do with NetworkX?
NetworkX provides classes for graphs which allow multiple edges between any pair of nodes, MultiGraph and MultiDiGraph. This can be powerful for some applications, but many algorithms are not well defined on such graphs: shortest path is one example.
How is a NetworkX graph defined?
By definition, a Graph is a collection of nodes (vertices) along with identified pairs of nodes (called edges, links, etc). In NetworkX, nodes can be any hashable object e.g., a text string, an image, an XML object, another Graph, a customized node object, etc.
How does NetworkX calculate average degree?
The average degree of an undirected graph is the sum of the degrees of all its nodes divided by the number of nodes in the graph. It is a measure of the connectedness of a graph.
How does NetworkX store data?
NetworkX stores graph data in Python objects instantiated from one of several NetworkX classes. You choose the NetworkX class to use based on the type of graph you want to create. NetworkX graph classes include Graph, DiGraph, MultiGraph, and MultiDiGraph.
Is Igraph faster than NetworkX?
On the pokec dataset it takes just 0.2s to run the page rank algorithm (graph-tool: 1.7s, igraph: 59.6s, snap: 19.5s). For the k-core decomposition it is also 10 times faster than all other competitors or 2000 times networkx.
Is NetworkX in Anaconda?
NetworkX is currently installed with Anaconda. Miniconda doesn’t come with NetworkX by default. Download the source from https://pypi.python.org/pypi/networkx/ or get the latest version.
What is a NetworkX object?
NetworkX provides data structures and methods for storing graphs. All NetworkX graph classes allow (hashable) Python objects as nodes and any Python object can be assigned as an edge attribute. The choice of graph class depends on the structure of the graph you want to represent.
Under what license is NetworkX distributed?
NetworkX is distributed with the 3-clause BSD license.
What is degree Networkx?
The degree is the sum of the edge weights adjacent to the node. Returns If a single node is requested degint. Degree of the node.
What is average degree connectivity?
The average degree connectivity is the average nearest neighbor degree of nodes with degree k. For weighted graphs, an analogous measure can be computed using the weighted average neighbors degree defined in [1], for a node i , as. k n n , i w = 1 s i ∑ j ∈ N ( i ) w i j k j.
Is NetworkX a good library?
Python: NetworkX is a robust library which has built-in visualization but also has an interface to Graphviz using pyGraphviz. (pyGraphviz and NetworkX are written by the same author). NetworkX is open source and a very easy to use.
Is NetworkX slow?
Networkx is much slower than any of the other libraries. Across all computation tasks and for all datasets it is around 10 times slower than the slowest library. For example, it took 67s to run the single source shortest path problem on the Pokec dataset compared to 6.8s for networkit (the next slowest).
What does the NetworkX package do?
The package provides classes for graph objects, generators to create standard graphs, IO routines for reading in existing datasets, algorithms to analyze the resulting networks and some basic drawing tools. Most of the NetworkX API is provided by functions which take a graph object as an argument.
What is the structure of NetworkX?
The structure of NetworkX can be seen by the organization of its source code. The package provides classes for graph objects, generators to create standard graphs, IO routines for reading in existing datasets, algorithms to analyze the resulting networks and some basic drawing tools.
How does the NetworkX API work?
Most of the NetworkX API is provided by functions which take a graph object as an argument. Methods of the graph object are limited to basic manipulation and reporting. This provides modularity of code and documentation.
What is a NetworkX graph?
A graph (network) is a collection of nodes together with a collection of edges that are pairs of nodes. Attributes are often associated with nodes and/or edges. NetworkX graph objects come in different flavors depending on two main properties of the network: