Communication Network Characteristics of the Mass Entrepreneurship and Innovation Policy on Social Media: A Social Network Analysis

Authors

  • Zenglei Yue School of Management, Harbin Institute of Technology, Harbin, China; Heilongjiang Institute of Science and Technology Information, Harbin, China
  • Guang Yu School of Management, Harbin Institute of Technology, Harbin, China
  • Jing Shan Heilongjiang Institute of Science and Technology Information, Harbin, China.
  • Guangwu Liu Heilongjiang Institute of Science and Technology Information, Harbin, China.
  • Lie Chen Heilongjiang Institute of Science and Technology Information, Harbin, China.
  • Donghui Yang Southeast University, Nanjing, China.

Keywords:

policy communication network, social media, Mass Entrepreneurship and Innovation policy, social network analysis, network structure

Abstract

Policy communication network structure can be taken as a result and as a target of policy communication on social media. This study explores the communication network of the Mass Entrepreneurship and Innovation policy on social media, using social network analysis, to investigate the relationships that were constructed as a result of policy-related interactions, through visual and quantitative means. The results revealed that the entire network structure comprised a relatively concentrated interactive group, some numerous scattered subgroups, and independent nodes, with policy audiences playing an integral and crucial role. In the core network structure, different user nodes had differential influences in the policy network structure. Nodes associated with government sectors and media played relatively important roles in expanding the scope of communication and displayed more advantages in deepening interaction. These findings have implications for the effective communication of policies. Measures should be adopted to avoid or minimize negative impacts in the policy communication on social media.

Author Biographies

Zenglei Yue, School of Management, Harbin Institute of Technology, Harbin, China; Heilongjiang Institute of Science and Technology Information, Harbin, China

Zenglei Yue is currently pursuing the Ph.D. degree with the School of Management, Harbin Institute of Technology. She is also an assistant researcher of Heilongjiang Institute of Science and Technology Information. Her research focuses on the fields of policy communication and evaluation. No. 92, Xidazhi Street, Nangang District, Harbin, Heilongjiang, China, yuezenglei@stu.hit.edu.cn

Guang Yu, School of Management, Harbin Institute of Technology, Harbin, China

Guang Yu is currently a Professor with the School of Management, Harbin Institute of Technology, China. She has a number of publications in international journals and conferences. Her current research interests include information retrieve, data mining, and scientometrics. She is a reviewer of several international journals. No. 92, Xidazhi Street, Nangang District, Harbin, Heilongjiang, China, yug@hit.edu.cn.

Jing Shan, Heilongjiang Institute of Science and Technology Information, Harbin, China.

Jing Shan is currently vice president of Heilongjiang Institute of Science and Technology Information. Her research interests include information analysis, information consultation, science and technology services, and innovative methods.

Guangwu Liu, Heilongjiang Institute of Science and Technology Information, Harbin, China.

Guangwu Liu is currently president of Heilongjiang Institute of Science and Technology Information. His research interests include science and technology management, and strategy research.

Lie Chen, Heilongjiang Institute of Science and Technology Information, Harbin, China.

Lie Chen is currently director of the Research Center, Heilongjiang Institute of Science and Technology Information. His research focuses on science and technology management.

Donghui Yang, Southeast University, Nanjing, China.

Donghui Yang is currently an associate professor and doctoral supervisor of the School of Economics and Management of Southeast University. His research interests include business intelligence analysis and data mining, social network analysis and knowledge management, and supply chain management.

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Published

2023-10-14

Issue

Vol. 17 (2023)

Section

Articles

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