|
|
Study on User Knowledge Collaborative Innovation Based on Super-Network — Example of Open Innovation Community “Pollen Club” |
Zhang Haitao1,2, Ren Liang3, Liu Weili1, Zhou Honglei1 |
1.School of Management, Jilin University, Changchun 130022 2.Research Center of Information Resources of Jilin University, Changchun 130022 3.Institute of Scientific and Technical Information of China, Beijing 100038 |
|
|
Abstract Based on the perspective of super-network, we examine the topic of knowledge collaborative evolution among users and explain the internal process mechanism of knowledge collaborative innovation evolution. Based on the user relationship network formed by the cooperative interaction of user knowledge, the evolution network formed by knowledge genes as nodes established during the knowledge evolution process and knowledge carrier-text network, the super-network theory is used to discover the mapping relationship between the three networks and additional visual analysis. Finally, a super-network model for collaborative innovation of user knowledge is constructed to realize a deeper analysis of users and their innovative knowledge, display the mapping relationship between the three networks, and then realize the objective of mining high-quality users. This helps to identify innovative knowledge texts and analyze the process of collaborative innovation of knowledge among users.
|
Received: 29 April 2020
|
|
|
|
1 佟泽华. 知识协同的内涵探析[J]. 情报理论与实践, 2011, 34(11): 11-15. 2 佟泽华, 韩春花, 刘晓婷, 等. 零知识协同行为模型的建构和解构[J]. 情报理论与实践, 2019, 42(3): 85-91. 3 廖晓. 基于多种知识网络建模的用户创新社区知识发现与分析方法[D]. 广州: 华南理工大学, 2015. 4 孙薇, 马钦海, 于洋. 基于知识超网络的科技创新团队的组建方法[J]. 科学学与科学技术管理, 2013, 34(8): 166-171. 5 Zhang H H, Wu W Q, Zhao L M. A study of knowledge supernetworks and network robustness in different business incubators[J]. Physica A: Statistical Mechanics and Its Applications, 2016, 447: 545-560. 6 Zhao Y Q. Agent-based super-networks model of university knowledge system[J]. Mathematical Problems in Engineering, 2015, 2(10): 1-8. 7 逯万辉, 谭宗颖. 基于知识基因游离与重组的领域主题演化研究[J]. 情报理论与实践, 2019, 42(2): 101-107. 8 唐洪婷, 李志宏, 秦睿. 基于超网络的大众协同创新社区用户知识模型研究[J]. 管理学报, 2017, 14(6): 859-867. 9 Barabási A L, Albert R. Emergence of scaling in random networks[J]. Science, 1999, 286(5439): 509-512. 10 Inkpen A C, Tsang E W K M. Social capital, network and knowledge transfer[J]. Academy of Management Review, 2005, 30(1): 146-165. 11 吴江, 施立. 基于社会网络分析的在线医疗社区用户交互行为研究[J]. 情报科学, 2017, 35(7): 120-125. 12 王婷婷, 戚桂杰, 张雅琳, 等. 开放式创新社区用户持续性知识共享行为研究[J]. 情报科学, 2018, 36(2): 139-145. |
|
|
|