An integrated scientometric and SNA approach to explore the classics in CEM research
This study explores the classics that significantly contribute to the research of construction engineering and management (CEM). Previous studies usually simply applied the number of citation to identify the classics, causing some flaws. To overcome the flaws, an advanced approach is developed by in...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Vilnius Gediminas Technical University
2020-05-01
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| Series: | Journal of Civil Engineering and Management |
| Subjects: | |
| Online Access: | https://btp.vgtu.lt/index.php/JCEM/article/view/12645 |
| _version_ | 1818888944323919872 |
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| author | Hengqin Wu Zebin Zhao Xiaolong Xue Geoffrey Qiping Shen Rebecca Jing Yang Luqi Wang |
| author_facet | Hengqin Wu Zebin Zhao Xiaolong Xue Geoffrey Qiping Shen Rebecca Jing Yang Luqi Wang |
| author_sort | Hengqin Wu |
| collection | DOAJ |
| description | This study explores the classics that significantly contribute to the research of construction engineering and management (CEM). Previous studies usually simply applied the number of citation to identify the classics, causing some flaws. To overcome the flaws, an advanced approach is developed by integrating scientometric methods (G-index and co-citation analysis) and a social network analysis (SNA) technique (modularity optimization algorithm), thus providing more precise and persuasive results that denote what academic works have made significant inspirations and illuminations on CEM research. This study retrieves 13,273 CEM literature and extracts 336,129 bibliographies from these literature. Based on the G-index, a total of 67 publications are identified as CEM classics. Moreover, this paper measures and maps the structure of the classics by using co-citation analysis and modularity optimization algorithm. The results provide a basic source of academic information representing the foundation of CEM and draw a big picture of CEM to show the underlying associations between the identified classics. This can help researchers recognize the key scientific contributions for improving the academy progress. |
| first_indexed | 2024-12-19T17:01:10Z |
| format | Article |
| id | doaj.art-fed4590526da4da8ae6a2787ecc18b5a |
| institution | Directory Open Access Journal |
| issn | 1392-3730 1822-3605 |
| language | English |
| last_indexed | 2024-12-19T17:01:10Z |
| publishDate | 2020-05-01 |
| publisher | Vilnius Gediminas Technical University |
| record_format | Article |
| series | Journal of Civil Engineering and Management |
| spelling | doaj.art-fed4590526da4da8ae6a2787ecc18b5a2022-12-21T20:13:18ZengVilnius Gediminas Technical UniversityJournal of Civil Engineering and Management1392-37301822-36052020-05-0126510.3846/jcem.2020.12645An integrated scientometric and SNA approach to explore the classics in CEM researchHengqin Wu0Zebin Zhao1Xiaolong Xue2Geoffrey Qiping Shen3Rebecca Jing Yang4Luqi Wang5School of Management, Harbin Institute of Technology, Harbin, ChinaSchool of Management, Harbin Institute of Technology, Harbin, ChinaSchool of Management, Harbin Institute of Technology, Harbin, ChinaDepartment of Build and Real Estate, The Hong Kong Polytechnic University, Hong Kong, ChinaSchool of Property, Construction and Project Management, RMIT University, Melbourne, AustraliaSchool of Management, Harbin Institute of Technology, Harbin, ChinaThis study explores the classics that significantly contribute to the research of construction engineering and management (CEM). Previous studies usually simply applied the number of citation to identify the classics, causing some flaws. To overcome the flaws, an advanced approach is developed by integrating scientometric methods (G-index and co-citation analysis) and a social network analysis (SNA) technique (modularity optimization algorithm), thus providing more precise and persuasive results that denote what academic works have made significant inspirations and illuminations on CEM research. This study retrieves 13,273 CEM literature and extracts 336,129 bibliographies from these literature. Based on the G-index, a total of 67 publications are identified as CEM classics. Moreover, this paper measures and maps the structure of the classics by using co-citation analysis and modularity optimization algorithm. The results provide a basic source of academic information representing the foundation of CEM and draw a big picture of CEM to show the underlying associations between the identified classics. This can help researchers recognize the key scientific contributions for improving the academy progress.https://btp.vgtu.lt/index.php/JCEM/article/view/12645classicsconstruction engineering and managementG-indexco-citation analysissocial network analysismodularity optimization |
| spellingShingle | Hengqin Wu Zebin Zhao Xiaolong Xue Geoffrey Qiping Shen Rebecca Jing Yang Luqi Wang An integrated scientometric and SNA approach to explore the classics in CEM research Journal of Civil Engineering and Management classics construction engineering and management G-index co-citation analysis social network analysis modularity optimization |
| title | An integrated scientometric and SNA approach to explore the classics in CEM research |
| title_full | An integrated scientometric and SNA approach to explore the classics in CEM research |
| title_fullStr | An integrated scientometric and SNA approach to explore the classics in CEM research |
| title_full_unstemmed | An integrated scientometric and SNA approach to explore the classics in CEM research |
| title_short | An integrated scientometric and SNA approach to explore the classics in CEM research |
| title_sort | integrated scientometric and sna approach to explore the classics in cem research |
| topic | classics construction engineering and management G-index co-citation analysis social network analysis modularity optimization |
| url | https://btp.vgtu.lt/index.php/JCEM/article/view/12645 |
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