A Python package to view the skeleton of a social graph quickly.
Project description
Introduction
QuickGraph library can help you get a quick overview of a social graph in an extremely convenient way. QuickGraph will show the basic information of a graph, plot the CDF of selected metrics, characterize the largest connected component (LCC).
Overview
QuickGraph library can help you get a quick overview of a social graph in an extremely convenient way.
Show the basic information of a graph, plot the CDF of selected metrics, characterize the largest connected component (LCC), compute representative structural hole related indexes.
Copyright (C) <2021-2026> by Qingyuan Gong, Fudan University (gongqingyuan@fudan.edu.cn)
Before Installation
Please upgrade to Python 3.5
System Requirements
We have tested QuickGraph on both MacOSX (version 11.5.1) and Ubuntu (Version: 20.04 LTS). This library have not been tested on other platforms.
Usage
Please run the following commond and install the dependent libiraires:
Run
conda config --add channels conda-forge
conda update –all
to make the libraries fit to the operation system
Run
pip install python-igraph
to install the iGraph library
Run pip install leidenalg
to help the modularity related analysis
Functions
quickgraph.info(G) returns the the basic information of a graph and plots the CDF of selected metrics.
quickgraph.LCC_analysis(G) characterizes the largest connected component (LCC) of the input graph G on selected metrics.
Example
>>> import quickgraph as qg
>>> import networkx as nx
>>> G = nx.les_miserables_graph()
>>> qg.info(G)
Number of Nodes: 77, Number of Edges: 254
Avg. degree: 6.5974, Avg. clustering coefficient: 0.5731, Modularity (Louvain) = 0.5663
Number of connected components: 1, Number of nodes in LCC: 77 ( 100.0 %)
>>> qg.LCC_analysis(G)
LCC: Avg. degree = 6.5974, Avg. clustering coefficient = 0.5731, Modularity (Louvain) = 0.5663
(rough) shortest path length = 0 : 3 ( 0.3 %), 1 : 34 ( 3.4 %), 2 : 182 ( 18.2 %), 3 : 205 ( 20.5 %), 4 : 72 ( 7.2 %), 5 : 4 ( 0.4 %), Avg. shortest path length = 2.642
License
See the LICENSE file for license rights and limitations (MIT).
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