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Community Detection을 위한 Clustering algorithms (연구실 서버 배포용)

Orthogonal Graph

1. Girvan-Newman Algorithm

예시: http://SERVER_BASE_URL:#PORT/girvan-newman/?data=1062&iter=8

예시: http://SERVER_BASE_URL:#PORT/girvan-newman/?data=300&iter=8

2. Louvain Algorithm

예시: http://SERVER_BASE_URL:#PORT/louvain/?data=1062&resolution=0.1&threshold=0.0000001&seed=0

예시: http://SERVER_BASE_URL:#PORT/louvain/?data=300&resolution=0.1&threshold=0.0000001&seed=0

3. Leiden Algorithm

예시: http://SERVER_BASE_URL:#PORT/leiden/?data=1062

예시: http://SERVER_BASE_URL:#PORT/leiden/?data=300

Patient Flow

1. Girvan-Newman Algorithm

예시: http://SERVER_BASE_URL:#PORT/girvan-newman/pf/?p=1&iter=8

예시: http://SERVER_BASE_URL:#PORT/girvan-newman/pf/?p=2&iter=9

예시: http://SERVER_BASE_URL:#PORT/girvan-newman/pf/?p=3&iter=8

2. Louvain Algorithm

예시: http://SERVER_BASE_URL:#PORT/louvain/pf/?p=1&resolution=0.1&threshold=0.0000001&seed=0

예시: http://SERVER_BASE_URL:#PORT/louvain/pf/?p=2&resolution=0.1&threshold=0.0000001&seed=0

예시: http://SERVER_BASE_URL:#PORT/louvain/pf/?p=3&resolution=0.1&threshold=0.0000001&seed=0

3. Leiden Algorithm

예시: http://SERVER_BASE_URL:#PORT/leiden/pf/?p=1

예시: http://SERVER_BASE_URL:#PORT/leiden/pf/?p=2

예시: http://SERVER_BASE_URL:#PORT/leiden/pf/?p=3

- Local 환경 flask 구동 명령어

flask --app clustering run or python ./clustering.py
(python3인 경우 python3 ./clustering.py)

- Data 추가

/data/bus-1062.csv, /data/branch-1062.csv,
/data/bus-300.csv, /data/branch-300.csv,
/data/bus-118.csv, /data/branch-118.csv,
/data/bus-57.csv, /data/branch-57.csv,
/data/bus-30.csv, /data/branch-30.csv,
/data/bus-14.csv, /data/branch-14.csv 추가 (Orthogonal layout)

p1_region.csv, p2_region.csv, p3_region.csv,
p1_type1.csv, p1_type4.csv,
p2_type1.csv, p2_type4.csv,
p3_type1.csv, p3_type4.csv 추가 (Patient Flow)