Exploring Network Structure, Dynamics, and Function using NetworkX
Los Alamos National Laboratory · Colgate University
Abstract
NetworkX is a Python language package for exploration and analysis of networks and network algorithms. The core package provides data structures for representing many types of networks, or graphs, including simple graphs, directed graphs, and graphs with parallel edges and self-loops. The nodes in NetworkX graphs can be any (hashable) Python object and edges can contain arbitrary data; this flexibility makes NetworkX ideal for representing networks found in many different scientific fields. In addition to the basic data structures many graph algorithms are implemented for calculating network properties and structure measures: shortest paths, betweenness centrality, clustering, and degree distribution and many…
Citation impact
- FWCI
- 21.95
- Percentile
- 100%
- References
- 10
Authors
3Topics & keywords
- Computer science
- Dynamics (music)
- Function (biology)
- Physics