Chapter
Aug 29, 2019
International Conference on Construction and Real Estate Management 2019

Measuring the Underlying Structure of Classic Topics in Construction Engineering and Management: An SNA-Based Analysis

Publication: ICCREM 2019: Innovative Construction Project Management and Construction Industrialization

ABSTRACT

As an academic field, construction engineering and management (CEM) emerged and developed into a mutual academic field in the past several decades. CEM is characterized by the high level of mixed knowledge from other disciplines (i.e. physics and computer science) to facilitate the application of engineering skills and models to execute the effective organizations in a complex environment. Therefore, understanding the latent topics in CEM is an important task. This study explores the classic topics of CEM and maps their structure by using SNA techniques from a large amount of data, providing relatively unbiased and convinced results.

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ACKNOWLEDGMENT

This research was supported by the National Natural Science Foundation of China (NSFC) (No. 71390522, NO. 71671053, NO. 71271065, NO. 71771067). The work described in this paper was also funded by the National Key R&D Program of China (No. 2016YFC0701800 and No. 2016YFC0701808).

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Information & Authors

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Published In

Go to ICCREM 2019
ICCREM 2019: Innovative Construction Project Management and Construction Industrialization
Pages: 192 - 198
Editors: Yaowu Wang, Ph.D., Harbin Institute of Technology, Mohamed Al-Hussein, Ph.D., University of Alberta, and Geoffrey Q. P. Shen, Ph.D., Hong Kong Polytechnic University
ISBN (Online): 978-0-7844-8230-8

History

Published online: Aug 29, 2019

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Authors

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Associated Professor, School of Management, Harbin Institute of Technology, Harbin, China 150001. E-mail: [email protected]
Ph.D. Candidate, School of Management, Harbin Institute of Technology, Harbin, China 150001. E-mail: [email protected]
Xiaolong Xue [email protected]
Professor, School of Management, Guangzhou Univ., Guangzhou, China (corresponding author). E-mail: [email protected]
Geoffrey Qiping Shen [email protected]
Professor, Dept. of Building and Real Estate, Hong Kong Polytechnic Univ., Hong Kong, China. E-mail: [email protected]
Bachelor, Longgang Branch of Daqing Oilfield Information Technology Company, DaQing, China 163453. E-mail: [email protected]

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