. In a Linux system, open the terminal and go into the specified directory where the program and data are present. . Type python main1.py data_file. For example, python main1.py email.txt. . THis will start the simulation and output the mentioned results. . ALl the datasets used with this project are presented in this folder too. . THe program also generated .png files to view the structure of communities detected.
-
Notifications
You must be signed in to change notification settings - Fork 0
sarojinigarapati/community-detection
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
implemented label propagation algorithm to detect communities in large scala networks
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published