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.

1. Graph G

1. Matrix SN with row denotes different college, columns denote basic feature value.

1. related python modules: networkx, MySQLdb
2. networkx:https://pypi.python.org/pypi/networkx/
3. MySQLdb:https://pypi.python.org/pypi/MySQL-python

1. SocialNetwork(G):construction function.
2. ShowInformation(): Return basic features of graph.
3. GetDensity(): Return density of graph.
4. GetAPL(): Return average shortest path length of graph.
5. GetPeopleRank(): Calculate average page rank of people as graph's rank.Return page rank value of graph.
6. GetBetweenness(): Return average betweenness of each nodes in graph.
7. GetCloseness(): Return average closeness of each nodes in graph.
8. GetDegree(): Return degree distribution of graph.
9. GetDegreeCentrality(): Return degree centrality of graph.