DM_Implement

data preprocessing and similarity methods

data preprocessing

this class is designed to transform the original network

• Reorder the nodeID
• Rewrite the label with number
• Save the x.edges xx.nodes in another dirctory

similarity methods

In this part, this project want to implement some basic similarity mesurement methods in network analysis.
the input is a dataframe of pandas with two columns:

index   source  target
0       2       3
1       2       4
.....

The implemented methods are listed as follows:

• common neighbours (CN)
• adamic-adar index (AA)
• resource allocation (RA)
• Resource Allocation Based on Common Neighbor Interactions (RA-CNI)
• Preferential Attachment Index (PA)
• accard Coefficient (JC)
• Salton Index (SA)
• The Sørensen Index (SO)
• Hub Promoted Index (HPI)
• Hub Depressed Index (HDI)
• Local Leicht-Holme-Newman Index (LLHN)