The Order Measure Model of Knowledge Structure

详细信息    查看全文

• 作者：Qiu Jiangnan (1)
  Wang Chunling (1)
  Qin Xuan (1)
• 关键词：Knowledge Structure – ; Order – ; Entropy – ; Order Measure Model
• 刊名：Lecture Notes in Computer Science
• 出版年：2011
• 出版时间：2011
• 年：2011
• 卷：6889
• 期：1
• 页码：327-332
• 全文大小：110.3 KB
• 参考文献：1. Dorsey, D.W., Campbell, G.E., Foster, L.L., et al.: Assessing Knowledge Structures: Relations with Experience and Posttraining Performance. Human Performance 1, 31–57 (1999)
  2. Zhang, X., Wang, W., Chen, S.: Research on the Constitution and Devolvement of the Knowledge Structure System of Enterprise and Organization Learning. Journal of Dalian University of Technology (Social Sciences) 27(4), 23–28 (2006)
  3. Anand, V., Clark, M.A.: Team Knowledge Structure: Matching Task to Information Environment. Journal of Managerial Issues 1, 15–31 (2003)
  4. Song, G., Wang, X., Feng, R.: The Rise of MOT and Establishment of Its Subject System. Science of Science and Management of S. and T. 4, 116–120 (2008)
  5. Sun, J., Zhang, P.: Visualization of Researcher Knowledge Structure Based on Knowledge Network. Information Science 28(3), 395–399, 480 (2010)
  6. Chen, L., Liu, Z., Liang, L.: Study on the Structure of Mechanics Based on the Titles of Mechanics Papers. Journal of the China Society for Scientific and Technical Information 29(2), 305–313 (2010)
  7. Leydesdorf, L.: The delineation of nanoscience and nanotechnology in terms of journals and patents a most recent update. Intellectual and Laboratory Dynamics of Nanoscience and Nanotechnology, Paris (2007)
  8. Liu, Z., Hu, Z., Wang, X.: Knowledge Mapping of The 30-year History of the Science of Science in China. For The 30th Anniversary. Science of Science and Management of S. and T. 5, 17–23 (2010)
  9. Leydesdorf, L., Zhou, P.: Nanotechnology as a Field of Science:Its Delineation in Terms of Journals and Patents. Scientometrics 70(3), 693–713 (2007)
  10. Liang, X.: Review of Mapping Knowledge Domains. Library Journal 28(6), 58–62 (2009)
  11. Xu, F., Zhao, H., Ha, T., Zhang, Y.: Research on the Changing Principle of the Internet Standard Structure Entropy. Journal of Northe Astern University (Natural Science) 27(12), 1324–1326 (2006)
  12. Zhang, W., Zhao, H., Sun, P., Xu, Y., Zhang, X.: Research on Internet Topology Evolution and the Fractal of Average Degree of Nodes. Acta Electronica Sinica 34(8), 1438–1445 (2006)
  13. Xu, F., Zhao, H., Ha, T., Zhang, Y.: Research on the Robustness Based on the Internet Standard Entropy. Journal of Northeastern University (Natural Science) 27(11), 1208–1211 (2006)
  14. Yang, B., Qiang, M.: Improvement of Evaluation Models of Order Degree of System Structure by Means of Negative Entropy. Systems Engineering 25(5), 20–24 (2007)
  15. Li, W.: Order Degree of Complicated System Structure–Negentropy Algorithm. Systems Engineering Theory and Practice 8(4), 15–22 (1988)
  16. Zhang, J., Li, J.: Range and Span of Management on Application Structure Entropy Analysis. Statistics and Decision 10, 164–166 (2007)
  17. Yan, Y.: Evaluation Model of Order Degree of Asset Structure Based on Structure Entropy. Communication of Finance and Accounting (Financing) 6, 27–28 (2008)
  18. Zhang, Z., Xiao, R.: Empirical Study on Orderliness Evaluation of Production System Based on Structure Entropy. Chinese Journal of Mechanical Engineering 43(6), 62–67 (2007)
• 作者单位：1. Dalian University of Technology, Dalian, 116024
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

The recent researches on Knowledge Structure mainly focused on the connotative, components and evolution process of it, but little is known about its order. For the sake of knowing the process of growth and the degree of order of Knowledge Structure, this paper has introduced the Structure entropy to calculate the degrees of extension and richness of it which are used to build the order measure model in the view of the order. As the basis of studying the process of growth, the order measure model enables the evolution rules and influencing factors of Knowledge Structure.