Please see the following paper for more details of HAM algorithm:
- He, L., Lu, C. T., Ma, J., Cao, J., Shen, L., & Philip, S. Y. Joint Community and Structural Hole Spanner Detection via Harmonic Modularity. Proceedings of the 22th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2016.
To try the code, we provide a graph benchmark dataset “Karate” as an example, which includes adjacency matrix and ground-truth community (label) interface for graph files and code.
The first line is a summary of the graph (# Nodes || # Edges) (space-delimited)
Each row is a COMMUNITY containing the indices of nodes (tab-delimited)
—------—------—------—------NOTE—-----—-------—------—------
Please change the following code according to your environment and applications.
datapath= os.getcwd() + '/data/'
adj_name = 'karatern' # Note: the data index starts from 0, not from 1
community_name = 'karatecrn'
topk=3 # the number of selected SH spanner
See comments inline of the code for more details.
You can use the following routine to perform the code.
$ python HAM.py
For SHII metric, please see README
file in the SHII_metric
folder.
Lifang He (Email: lifanghescut@gmail.com)