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## page was renamed from 강의/SNA 분석을 위한 R 프로그래밍
## page was renamed from SNA2014
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1주차 (금): 오픈소스 SNA 분석 도구 R 맛보기 [[attachment:01_sna_visualization_practice.html|강의자료]], [[attachment:sample_edge_list.csv]], [[attachment:sample_nodeset.csv]]
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1주차 (금): 오픈소스 SNA 분석 도구 R 맛보기 [[attachment:01_sna_visualization_practice.html|강의자료]]
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2주차 (금): SNA의 이해 [[attachment:03_centrality.html|강의자료]]

 * Centrality (Degree, Betweenness, Closeness, Eigenvector)

3주차 (금): SNA 분석의 이해 및 실습 (Ⅳ) [[attachment:05_community.html|강의자료]], [[attachment:3rd_grade.graphml]], [[attachment:4th_grade.graphml]]

 * Community Detection (K-cores, Modularity)

4주차 (금): SNA의 응용 (II) [[attachment:07_scaping.html|강의자료]]

 * Web scraping and HTML Parsing

1주차 (금): 오픈소스 SNA 분석 도구 R 맛보기 강의자료, sample_edge_list.csv, sample_nodeset.csv

  • R 전체 훑어보기
  • R SNA / iGraph 패키지 소개
  • R SNA Visualization 실습

2주차 (금): SNA의 이해 강의자료

  • Centrality (Degree, Betweenness, Closeness, Eigenvector)

3주차 (금): SNA 분석의 이해 및 실습 (Ⅳ) 강의자료, 3rd_grade.graphml, 4th_grade.graphml

  • Community Detection (K-cores, Modularity)

4주차 (금): SNA의 응용 (II) 강의자료

  • Web scraping and HTML Parsing

강의들/SNA 분석을 위한 R 프로그래밍 (last edited 2015-06-09 10:00:48 by 정수)