Abstract
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.
Supported by “The Fundamental Research Funds for the Central Universities”(DUT11RW306).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
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)
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)
Anand, V., Clark, M.A.: Team Knowledge Structure: Matching Task to Information Environment. Journal of Managerial Issues 1, 15–31 (2003)
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)
Sun, J., Zhang, P.: Visualization of Researcher Knowledge Structure Based on Knowledge Network. Information Science 28(3), 395–399, 480 (2010)
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)
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)
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)
Leydesdorf, L., Zhou, P.: Nanotechnology as a Field of Science:Its Delineation in Terms of Journals and Patents. Scientometrics 70(3), 693–713 (2007)
Liang, X.: Review of Mapping Knowledge Domains. Library Journal 28(6), 58–62 (2009)
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)
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)
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)
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)
Li, W.: Order Degree of Complicated System Structure–Negentropy Algorithm. Systems Engineering Theory and Practice 8(4), 15–22 (1988)
Zhang, J., Li, J.: Range and Span of Management on Application Structure Entropy Analysis. Statistics and Decision 10, 164–166 (2007)
Yan, Y.: Evaluation Model of Order Degree of Asset Structure Based on Structure Entropy. Communication of Finance and Accounting (Financing) 6, 27–28 (2008)
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)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Jiangnan, Q., Chunling, W., Xuan, Q. (2011). The Order Measure Model of Knowledge Structure. In: Hu, B., Liu, J., Chen, L., Zhong, N. (eds) Brain Informatics. BI 2011. Lecture Notes in Computer Science(), vol 6889. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23605-1_33
Download citation
DOI: https://doi.org/10.1007/978-3-642-23605-1_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23604-4
Online ISBN: 978-3-642-23605-1
eBook Packages: Computer ScienceComputer Science (R0)