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Table of Contents
Class: SocialNetwork
Description
Class SocialNetwork calculates basic features of social network. For example, each college is a component. We calculate the component basic features such as density, diameter, average path length, number of nodes, average degree, average degree centrality, average people PageRank, average closeness and average betweenness.
Parameter
- Graph G
Return
- Matrix SN with row denotes different college, columns denote basic feature value.
Detail Information
- related python modules: networkx, MySQLdb
Functions
- ShowInformation():
- - Return: basic features of graph.
- GetDensity():
- - Return: density of graph.
- GetAPL()
- - Return: average shortest path length of graph.
- GetPeopleRank():
- - Calculate average page rank of people as graph's rank.
- - Return: page rank value of graph.
- GetBetweenness()
- - Return: average betweenness of each nodes in graph.
- GetCloseness()
- - Return: average closeness of each nodes in graph.
- GetDegree()
- - Return: degree distribution of graph.
- GetDegreeCentrality()
- - Return: degree centrality of graph.
