Weighted Network Evolution Model of Industry Technology Innovation Alliances Knowledge Transfer Based on Node Competitivenesss

Yujie ZHANG, Jie WU, Tingting LIU

Abstract


On the basis of the dynamic evolution and competition of the complex network of industry alliances together with the limitations of the BBV network model, a competitive merit-based dynamic evolution model is constructed. It not only considers the addition of new nodes, but also the deletion of old nodes, the rewiring of old nodes and the deletion of old links appear in the networks. By using continuum theory and mean field theory, the corresponding evolution equation is established. The strength and degree distribution of the model still has the power-rate characteristics of scale-free networks and BBV scale-free network is a special case. The correctness of the theoretical analysis is proved by the simulation. The results show that by adjusting the parameters, it can coincide with the power -low exponent of many complex networks. Therefore, the improved model is more adaptive and authenticity.

Keywords


Industry Technology Innovation Coalition; BBV Model; Competitiveness; Degree Distribution; Power -low Exponent

References


[1] Erods, P. & Ren,Y. (1960). On the evolution of random graphs. Publ Math Inst Hung Acad Sci, (5), 17-61.

[2] Wstts, D. F. & Strogatz, S. H. (1998). Collective dynamics of small- world network. Nature (London), 393, 440-442.

[3] Barabasi, A. L. & Albert, R. (1999). Emergence of scaling in random networks. Science, 9(286), 509-512.

[4] Newman, M. E. J. (2003). The structure and function of complex networks. SIAM Review, 45, 167- 256.

[5] Tang, F. R., Cai, S. H. & Li, Z. H. (2005). The establishment and analysis of the embedded-deletion- compensation scale-free networks model. Journal of China University of Mining and Technology, 34(3), 3-4.

[6] Chen, Q. H. & Shi, D. H. (2004). The modeling of scale -free networks. Phys. A, 335, 240 -248.

[7] Jia, X.L., Cai, S. H. & Zhang, F. R. (2009). A dynamic scale-free network model. Journal of Sichuan Normal University, 32(6), 839-842.

[8] Jia, X. L., Cai, S. H. & Zhang, F. R. (2008). A scale-free network model of points and edges changing at the same time. Journal of Northeast Normal University, 40(4), 58-62.

[9] Li, S. W. & Qian, S. S. (2005). Exponential growth of the scale-free networks and dynamic local world. Complex Systems and Complexity Science, (1), 45-48.

[10] Guo, J. L. (2006). Poisson model of the directed complex networks. Shanghai University of Technology, (3), 712-718.

[11] Albert, R. & Barabasi, A. L. (2000). Topology of evolving networks: local events and universality. Phys. Rev. Lett., 85, 5234- 5237.

[12] Bianconi, G., & Barabási, A. L. (2001). Bose Einstein condensation in complex networks. Phys. R ev. Lett., 86, 5632- 5635.

[13] Krapivsky, P. L., Redner, S. & Leyvraz, F. (2000). Connectivity of growing random networks. Physica Review Lett., 85, 4629-4632.

[14] Zhou, J., Zhang, Z. & Cheng, K. Q. (2012). Research on the point weight limited BBV model based on node attraction. System Simulation, 24(6), 1293-1297.

[15] Yook, S. H., Jeong, H. & Barabsi, A. L. (2001). Weighted evolving networks. Phys Rev Lett., 86, 5835-5838.

[16] Barrat, A., Barthélemy, M. & Vespignani, A. (2004). Modeling the evolution of weighted networks. Phys Rev E (S1539-3755), 70(066149), 1-13.

[17] Tao, S.H., Yang, C., Li, H.N. & Zhang, Y. (2009). Research on complex networks evolution model based on nodes attractive. Computer Engineering, 35(1), 111-113.

[18] Barabsi, A. L., Albert, R. & Jeong, H. (1999). Mean- field theory for scale- free random networks. Phys A, 272, 173- 187.

[19] Li, G. & Zhao, D. Z. (2012). Scale-free characteristics of the supply chain network research. Industrial Engineering, 15(1), 28-32.




DOI: http://dx.doi.org/10.3968/j.mse.1913035X20130701.2560

Refbacks

  • There are currently no refbacks.


Copyright (c)




Share us to:   


Reminder

  • We are currently accepting submissions via email only.

    The registration and online submission functions have been disabled.

    Please send your manuscripts to mse@cscanada.net,or mse@cscanada.org  for consideration.

    We look forward to receiving your work.

 


We only use three mailboxes as follows to deal with issues about paper acceptance, payment and submission of electronic versions of our journals to databases:
caooc@hotmail.com; mse@cscanada.net; mse@cscanada.org

 Articles published in Management Science and Engineering are licensed under Creative Commons Attribution 4.0 (CC-BY).

 MANAGEMENT SCIENCE AND ENGINEERING Editorial Office

Address:1055 Rue Lucien-L'Allier, Unit #772, Montreal, QC H3G 3C4, Canada.

Telephone: 1-514-558 6138
Http://www.cscanada.net Http://www.cscanada.org

Copyright © 2010 Canadian Research & Development Centre of Sciences and Cultures