Fetching latest commit…
Cannot retrieve the latest commit at this time.
|Failed to load latest commit information.|
======================================================================== Community-Affiliation Graph Model ======================================================================== The example implements the community-Affiliation Graph Model (AGM). AGM generates a realistic looking graph given a bipartite graph which describes affiliations of nodes to communities. The community-Affiliation Graph Model is described in the following two papers: J. Yang and J. Leskovec, Structure and Overlaps of Communities in Networks, SNAKDD '12. J. Yang and J. Leskovec, Community-Affiliation Graph Model for Overlapping Community Detection, ICDM '12. The code works under Windows with Visual Studio or Cygwin with GCC, Mac OS X, Linux and other Unix variants with GCC. Make sure that a C++ compiler is installed on the system. Visual Studio project files and makefiles are provided. For makefiles, compile the code with "make all". //////////////////////////////////////////////////////////////////////// Parameters: -i: Community affiliation data (one group per line). Use 'DEMO' to consider a simple case where Nodes 0-24 belong to first community, and nodes 15-39 belong to the second community. Also check 'community_affilications.txt' for an example. -o: Output filename prefix (The edges of the generated graph). -a: Power-law coefficient of the distribution of edge probability inside each community. -c: Scaling constant for the edge probability. //////////////////////////////////////////////////////////////////////// Usage: Generate an AGM graph using 'DEMO' community affiliations: agmgen -i:DEMO -a:0.6 -c:1.3 -o:agm_demo Generate an AGM graph using 'community_affiliations.txt': agmgen -i:community_affiliations.txt -a:0.6 -c:1.3 -o:agm_test