Abstract
With the rapid development of the economy, the scale of China’s construction projects has seen an unprecedented growth. Nowadays, the construction industry is already a pillar industry in China’s economic development. It keeps China’s economy growing rapidly in recent years. Therefore, China is gradually increasing its investment in construction projects. However, the construction project has the characteristics of large scale, long construction period, high cost, many stakeholders, and complex technology. Besides, it has obvious social characteristics. Therefore, construction projects lack of sociological perspective to analyze the problem of the project organization. Based on the characteristics of the construction project, this paper studies the organizational structure of the project, and analyzes the main application of the social network analysis method in the project. At the same time, this paper applies the social network analysis method to the actual construction project, constructs the social network model, makes a quantitative analysis of the model by using Ucinet software, and studies the application way of social network analysis method in the organization and management of construction projects.

Similar content being viewed by others
References
Ding, R., Liu, F., Sun, T., & Sun, H. (2010). Project management research based on social network analysis: A case study of large construction supervision project. China soft science magazine, 06, 132.
He, Q., & Zhang, S. (2012). Review on the development and application of social network analysis. Project management, 02, 46.
Pryke, S., & Pearson, S. (2006). Project governance: case studies on financial incentives. Building Research and Information, 34(6), 534–535.
Winter, M., et al. (2006). Directions for future research in project management: The main findings of a UK government-funded research network. International Journal of Project Management, 24, 638.
Pekericli, M. K. et al. (2004). Modeling information dependencies in construction in construction project network organizations. In 4th joint symposium on information technology in civil engineering.
Ferriani, S., Cattani, G., & Baden-Fuller, C. (2009). The relational antecedents of project-entrepreneurship: Network centrality, team composition and project performance. Research Policy, 38(10), 1545–1558.
Le, Y., Chong, D., & Cao, D. (2010). Based on the social network analysis method construction project organization research. Architecture Economy, 8, 34–38.
Yang, L. (2012). Construction of complex engineering project organization network model based on social network analysis. Journal of Wuhan University (Engineering Science Edition), 03, 345.
Cheng, Y., Li, Q., & Yuan, J. (2013). Analysis of construction project organization structure based on SNA method. Construction Economics, 11, 37.
Liu, X. (2011). Research on method of social network risk analysis in project governance. Shandong: Shandong University.
Winch, G. M. (2011). Governing the project process: A concept framework. Construction Management and Economics, 19, 799–800.
Pan, H., & Li, Y. (2013). Research on the organization of large complex projects based on social network analysis. Science and Technology Management Research, 20, 214–215.
Li, Y., & Xie, L. (2013). Application and Prospect of social network analysis in organizational management research. Chinese Journal of Management, 1, 146.
Acknowledgements
This research was financially supported by the National Natural Science Foundation of China (Grant No. 11171306) and the 2015 cross Pre-research project of Zhejiang University of Science and Technology (Grant No. 2015JC09Y).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Zhang, S., Fang, Y. Research on Construction Project Organization Based on Social Network Analysis. Wireless Pers Commun 102, 1867–1877 (2018). https://doi.org/10.1007/s11277-018-5242-3
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11277-018-5242-3