Python-EasyGraph 0.2a7

Easy Graph

Copyright (C) <2020> by Mobile Systems and Networking Group, Fudan University

• Documentation: https://easy-graph.github.io/

• Source: https://github.com/easy-graph/Easy-Graph

• Bug Reports: https://github.com/easy-graph/Easy-Graph/issues

Introduction

EasyGraph is an open source graph processing library. It is written in Python and supports analysis for undirected graphs and directed graphs. It covers advanced graph processing methods in structural hole spanners detection, graph embedding and several classic methods (subgraph generation, connected component discovery and isomorphic graph generation).

EasyGraph integrates state-of-the-art graph processing approaches and implements them using Python. EasyGraph covers a series of advanced graph processing algorithms include structural hole spanners detection (HIS, MaxD, Common_Greedy, AP_Greedy and HAM), and graph representation learning (DeepWalk, Node2Vec, LINE and SDNE). Besides, for a number of general graph processing approaches, EasyGraph optimizes the algorithms and introduces parallel computing methods to achieve high efficiency.

Install

Installation with pip

$ pip install Python-EasyGraph

or conda

$ conda install Python-EasyGraph

Simple Example

This is a simple example for the detection of sturctural hole spanners using the HIS algorithm.

>>> import easygraph as eg
>>> G = eg.Graph()
>>> G.add_edges([(1,2), (2,3), (1,3), (3,4), (4,5), (3,5), (5,6)])
>>> _, _, H = eg.get_structural_holes_HIS(G, C=[frozenset([1,2,3]), frozenset([4,5,6])])
>>> H # The structural hole score of each node. Note that node `4` is regarded as the most possible structural hole spanner.
{1: {0: 0.703948974609375},
 2: {0: 0.703948974609375},
 3: {0: 1.2799804687499998},
 4: {0: 1.519976806640625},
 5: {0: 1.519976806640625},
 6: {0: 0.83595703125}
}