Changes for version 0.21 - 2016-01-29
- betweenness algorithm now includes edge betweenness
 - normalisation is now optional in betweenness algorithm
 - communities method returns an empty list by default (fixed bug #100384)
 
Modules
A toolkit for Social Network Analysis    
  
Calculate betweenneess values for all nodes    
  
identify network components    
  
calculate core collapse sequences (CCS)    
  
implementation of Kleinberg's HITS algorithm    
  
identifies communities with the Louvain-method developed by Blondel and Guillaume and Lamboitte and Lefebvre    
  
implementation of the PageRank algorithm    
  
Community class for SNA::Network    
  
Community structure class for SNA::Network    
  
Edge class for SNA::Network    
  
load and save networks from/to Guess .gdf files    
  
load and save networks from/to Pajek .net files    
  
Generate random networks by density    
  
Generate random networks according to the configuration model    
  
Generate random networks by a series of edge swaps according to the Markov Chain Monte Carlo principle    
  
Node class for SNA::Network    
  
Test plugin for SNA::Network::Node    
  
Test plugin for SNA::Network