Journal of Digital Contents Society (디지털콘텐츠학회 논문지)

Digital Contents Society (한국디지털콘텐츠학회)
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A Role-Performer Bipartite Matrix Generation Algorithm for Human Resource Affiliations

인적 자원 소속성 분석을 위한 역할-수행자 이분 행렬 생성 알고리즘

  • Kim, Hak-Sung (Department of Convergent Health Science and 3D Printing, Dongnam Health University)
  • 김학성 (동남보건대학교 보건3D프린팅융합과)
  • Received : 2017.10.25
  • Accepted : 2018.01.29
  • Published : 2018.01.31
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Abstract

In this paper we propose an algorithm for generating role-performer bipartite matrix for analyzing BPM-based human resource affiliations. Firstly, the proposed algorithm conducts the extraction of role-performer affiliation relationships from ICN(Infromation Contorl Net) based business process models. Then, the role-performer bipartite matrix is constructed in the final step of the algorithm. Conclusively, the bipartite matrix generated through the proposed algorithm ought to be used as the fundamental data structure for discovering the role-performer affiliation networking knowledge, and by using a variety of social network analysis techniques it enables us to acquire valuable analysis results about BPM-based human resource affiliations.

본 논문에서는 BPM기반 인적 자원 소속성 분석을 위한 역할-수행자 이분 행렬 생성 알고리즘을 제안한다. 제안된 알고리즘은 정보제어넷 기반의 비즈니스 프로세스 모델로부터 역할-수행자 소속 관계를 추출하는 단계와 이로부터 역할-수행자 이분 행렬을 생성하는 단계로 구성된다. 결론적으로 생성된 행렬은 역할-수행자 소속성 네트워킹 지식을 발견하기 위한 데이터 구조로서 활용될 뿐 아니라 소셜 네트워크 분석 기법을 적용하여 BPM 기반 인적 자원 소속성 분석 결과를 도출할 수 있다.

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References

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