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Application of Association Rule Mining and Social Network Analysis for Understanding Causality of Construction Defects

Author

Listed:
  • Sangdeok Lee

    (Department of Architectural Engineering, University of Seoul, Seoul 02504, Korea)

  • Yongwoon Cha

    (Department of Architectural Engineering, University of Seoul, Seoul 02504, Korea)

  • Sangwon Han

    (Department of Architectural Engineering, University of Seoul, Seoul 02504, Korea)

  • Changtaek Hyun

    (Department of Architectural Engineering, University of Seoul, Seoul 02504, Korea)

Abstract

A construction defect can cause schedule delay, cost overrun and quality deterioration. In order to minimize these negative impacts of construction defects, this paper aims to analyze the causality of construction defects. Specifically, association rule mining (ARM) is used to quantify the interrelationships between defect causes, and social network analysis (SNA) is utilized to find out the most influential causes triggering generation of construction defects. The suggested approach was applied to 2949 defect instances in finishing work. Through this application, it was confirmed that the proposed approach can systematically identify and quantify causality among defect causes.

Suggested Citation

  • Sangdeok Lee & Yongwoon Cha & Sangwon Han & Changtaek Hyun, 2019. "Application of Association Rule Mining and Social Network Analysis for Understanding Causality of Construction Defects," Sustainability, MDPI, vol. 11(3), pages 1-14, January.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:3:p:618-:d:200585
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    References listed on IDEAS

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    1. Gert Sabidussi, 1966. "The centrality index of a graph," Psychometrika, Springer;The Psychometric Society, vol. 31(4), pages 581-603, December.
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    Cited by:

    1. Feifeng Jiang & Kwok Kit Richard Yuen & Eric Wai Ming Lee & Jun Ma, 2020. "Analysis of Run-Off-Road Accidents by Association Rule Mining and Geographic Information System Techniques on Imbalanced Datasets," Sustainability, MDPI, vol. 12(12), pages 1-32, June.
    2. Jungeun Park & Yongwoon Cha & Hamad Al Jassmi & Sangwon Han & Chang-taek Hyun, 2020. "Identification of Defect Generation Rules among Defects in Construction Projects Using Association Rule Mining," Sustainability, MDPI, vol. 12(9), pages 1-13, May.
    3. Yude Fu & Jing Zhu & Xiang Li & Xu Han & Wenhui Tan & Qizi Huangpeng & Xiaojun Duan, 2024. "Research on Group Behavior Modeling and Individual Interaction Modes with Informed Leaders," Mathematics, MDPI, vol. 12(8), pages 1-23, April.
    4. Ji Yeon Lee & Richa Kumari & Jae Yun Jeong & Tae-Hyun Kim & Byeong-Hee Lee, 2020. "Knowledge Discovering on Graphene Green Technology by Text Mining in National R&D Projects in South Korea," Sustainability, MDPI, vol. 12(23), pages 1-16, November.
    5. Jason Jihoon Ree & Cheolhyun Jeong & Hyunseok Park & Kwangsoo Kim, 2019. "Context–Problem Network and Quantitative Method of Patent Analysis: A Case Study of Wireless Energy Transmission Technology," Sustainability, MDPI, vol. 11(5), pages 1-18, March.

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