Co-authorship Networks in Additive Manufacturing Studies Based on Social Network Analysis
Denghui Zhang *
School of Mechanical Engineering, Shandong University, Jinan 250061, China
Yang Guo
School of Information Science and Technology, Shijiazhuang Tiedao University, Shijiazhuang 050043, China
Zhengxu Zhao
School of Information Science and Technology, Shijiazhuang Tiedao University, Shijiazhuang 050043, China
Yiqi Zhou
School of Mechanical Engineering, Shandong University, Jinan 250061, China.
*Author to whom correspondence should be addressed.
Abstract
In the last 30 years there has been growing interest in additive manufacturing technology. Co-authorship of published papers plays such an important role in scientific development. The collaborative research social network on the field of additive manufacturing is paid particular attention in this paper. A framework based on open source software is proposed to automate the data collection and social network analysis. The characteristics of the overall network structure is analyzed and visualized. The development process of AM collaboration community mode is discussed. So as to provide inspiration for collaborative research and further development of additive manufacturing technology.
Keywords: Additive manufacturing, social network analysis, co-authorship networks, complex networks.