Table of Contents Author Guidelines Submit a Manuscript
Abstract and Applied Analysis
Volume 2014, Article ID 543734, 11 pages
http://dx.doi.org/10.1155/2014/543734
Research Article

Study on Knowledge Propagation in Complex Networks Based on Preferences, Taking Wechat as Example

1School of Information Technology, Jiangxi University of Finance and Economics, No. 169, East Shuanggang Road, Changbei, Nanchang, Jiangxi 330013, China
2Jiangxi Key Laboratory of Data and Knowledge Engineering, Jiangxi University of Finance and Economics, Nanchang 330013, China
3School of Business and Administration, Jiangxi University of Finance and Economics, No. 169, East Shuanggang Road, Changbei, Nanchang, Jiangxi 330013, China

Received 11 April 2014; Revised 29 June 2014; Accepted 7 July 2014; Published 23 July 2014

Academic Editor: Zidong Wang

Copyright © 2014 Si-hua Chen and Wei He. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. L. Jun, Study on Employees' Knowledge Sharing Behaviors Based on Complex Social Networks, Chongqing University Press, 2013.
  2. P. F. Drucker, Management Challenges for the 21st Century, HarperCollins, 1999.
  3. S. Wei, Study on Tacit Knowledge Flow and Transform in Corporation, Harbin Institute of Technology Press, 2008.
  4. C. Liang, C. Zhong, H. Li-Chuan, G. Hao, and Z. Yin, “The measurement of employees' knowledge stock and empirical study based on social network analysis,” Journal of Industrial Engineering and Engineering Management, vol. 23, no. 4, pp. 49–68, 2009. View at Google Scholar
  5. W. Sroka, J. Cygler, and B. Gajdzik, “Knowledge transfer in networks. The case of steel enteprises in Poland,” Metalurgija, vol. 53, no. 1, pp. 101–104, 2014. View at Google Scholar · View at Scopus
  6. C.-S. Lu and S.-Y. Kuo, “The effects of port employees' perceptions of tacit knowledge and transaction cost on knowledge transfer,” International Journal of Shipping and Transport Logistics, vol. 6, no. 1, pp. 46–68, 2014. View at Google Scholar
  7. L. Colombo and P. Labrecciosa, “Inter-firm knowledge diffusion, market power, and welfare,” Journal of Evolutionary Economics, vol. 22, no. 5, pp. 1009–1027, 2012. View at Publisher · View at Google Scholar · View at Scopus
  8. J.-J. Huang, “Knowledge diffusion models—perspectives of gene evolution and population dynamics,” Knowledge Management Research & Practice, vol. 11, no. 3, pp. 313–322, 2013. View at Publisher · View at Google Scholar · View at Scopus
  9. P. E. Eriksson, “Exploration and exploitation in project-based organizations: development and diffusion of knowledge at different organizational levels in construction companies,” International Journal of Project Management, vol. 31, no. 3, pp. 333–341, 2013. View at Publisher · View at Google Scholar · View at Scopus
  10. M. H. Ho and J. S. Liu, “The motivations for knowledge transfer across borders: the diffusion of data envelopment analysis (DEA) methodology,” Scientometrics, vol. 94, no. 1, pp. 397–421, 2013. View at Publisher · View at Google Scholar · View at Scopus
  11. I. Nonaka, R. Toyama, and A. Nagata, “A firm as a knowledge-creating entity: a new perspective on the theory of the firm,” Industrial and Corporate Change, vol. 9, no. 1, pp. 1–20, 2000. View at Publisher · View at Google Scholar · View at Scopus
  12. F. Sabetzadeh and E. Tsui, “Social motives polarity and its impact on knowledge sharing,” VINE, vol. 41, no. 1, pp. 76–88, 2011. View at Publisher · View at Google Scholar · View at Scopus
  13. G. Niu, “A game theory based analysis of the tacit knowledge sharing and incentive mechanism,” Advanced Materials Research, vol. 601, no. 4, pp. 564–569, 2013. View at Publisher · View at Google Scholar · View at Scopus
  14. P. Hendriks, “Why share knowledge? the influence of ICT on the motivation for knowledge sharing,” Knowledge and Process Management, vol. 6, no. 2, pp. 91–100, 1999. View at Google Scholar
  15. T. H. Davenport and L. Prusak, Working Knowledge: How Organizations Manage What They Know, Harvard Business School Press, Boston, Mass, USA, 1998.
  16. R. S. Sharma and S. Bhattacharya, “Knowledge dilemmas within organizations: resolutions from game theory,” Knowledge-Based Systems, vol. 45, no. 6, pp. 100–113, 2013. View at Publisher · View at Google Scholar · View at Scopus
  17. K. M. Bartol, W. Liu, X. Zeng, and K. Wu, “Social exchange and knowledge sharing among knowledge workers: the moderating role of perceived job security,” Management and Organization Review, vol. 5, no. 2, pp. 223–280, 2009. View at Publisher · View at Google Scholar · View at Scopus
  18. X. Wang, “Forming mechanisms and structures of a knowledge transfer network: theoretical and simulation research,” Journal of Knowledge Management, vol. 17, no. 2, pp. 278–289, 2013. View at Publisher · View at Google Scholar · View at Scopus
  19. D. Chalmers, “Social innovation: an exploration of the barriers faced by innovating organizations in the social economy,” Local Economy, vol. 28, no. 1, pp. 17–34, 2013. View at Publisher · View at Google Scholar · View at Scopus
  20. P. M. Senge, “Communities of leaders and learners,” Harvard Business Review, vol. 75, no. 5, pp. 30–32, 1997. View at Google Scholar
  21. S. Wilson, O. Liber, M. Johnson, P. Beauvoir, P. Sharples, and C. Milligan, “Personal learning environments: challenging the dominant design of educational systems,” Journal of e-Learning and Knowledge Society, vol. 3, no. 2, pp. 27–38, 2007. View at Google Scholar
  22. W. Lin, “Research on knowledge sharing and interpersonal relationships: empirical study of family firms and non-family firms,” Quality and Quantity, vol. 47, no. 1, pp. 151–166, 2013. View at Publisher · View at Google Scholar · View at Scopus
  23. V. Buskens and K. Yamaguchi, “A new model for information diffusion in heterogeneous social networks,” Sociological Methodology, vol. 29, no. 1, pp. 281–325, 1999. View at Publisher · View at Google Scholar · View at Scopus
  24. I. Z. Kiss, M. Broom, P. G. Craze, and I. Rafols, “Can epidemic models describe the diffusion of topics across disciplines?” Journal of Informetrics, vol. 4, no. 1, pp. 74–82, 2010. View at Publisher · View at Google Scholar · View at Scopus
  25. X.-D. Xu, Y.-T. Xiao, and S.-R. Zhu, “Simulation investigation of rumor propagation in microblogging community,” Computer Engineering, vol. 37, no. 10, pp. 272–274, 2011. View at Google Scholar
  26. S. Cyr and C. W. Choo, “The individual and social dynamics of knowledge sharing: an exploratory study,” Journal of Documentation, vol. 66, no. 6, pp. 824–846, 2010. View at Publisher · View at Google Scholar · View at Scopus
  27. C. Mitton, C. E. Adair, E. McKenzie, S. B. Patten, and B. W. Perry, “Knowledge transfer and exchange: review and synthesis of the literature,” The Milbank Quarterly, vol. 85, no. 4, pp. 729–768, 2007. View at Publisher · View at Google Scholar · View at Scopus
  28. S. Wang and R. A. Noe, “Knowledge sharing: a review and directions for future research,” Human Resource Management Review, vol. 20, no. 2, pp. 115–131, 2010. View at Publisher · View at Google Scholar · View at Scopus
  29. E. M. Rogers, Diffusion of Innovation, Free Press, New York, NY, USA, 2003.
  30. R. Cowan and N. Jonard, “Network structure and the diffusion of knowledge,” Journal of Economic Dynamics & Control, vol. 28, no. 8, pp. 1557–1575, 2004. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  31. R. Cowan, N. Jonard, and J. B. Zimmermann, “Evolving networks of inventors,” Journal of Evolutionary Economics, vol. 16, no. 1, pp. 155–174, 2006. View at Publisher · View at Google Scholar
  32. P. Morone and R. Taylor, “Knowledge diffusion dynamics and network properties of face-to-face interactions,” Journal of Evolutionary Economics, vol. 14, no. 3, pp. 327–351, 2004. View at Publisher · View at Google Scholar · View at Scopus
  33. C. Jianxun, “Studies on the Dynamics of Knowledge Communication based on Complex Networks,” University of Science and Technology of China, 2006.
  34. J. Li and D. Sun, “Knowledge propagation model in complex networks,” Journal of South China University of Technology, vol. 34, no. 6, pp. 99–102, 2006. View at Google Scholar · View at Scopus
  35. H. Wanly, “The complex network model of knowledge diffusion,” Operations Research and Management Science, vol. 17, no. 5, pp. 150–154, 2008. View at Google Scholar
  36. M. T. Hansen, M. L. Mors, and B. Løvås, “Knowledge sharing in organizations: multiple networks, multiple phases,” Academy of Management Journal, vol. 48, no. 5, pp. 776–793, 2005. View at Publisher · View at Google Scholar · View at Scopus
  37. G. Lai and O. Wong, “The tie effect on information dissemination: The spread of a commercial rumor in Hong Kong,” Social Networks, vol. 24, no. 1, pp. 49–75, 2002. View at Publisher · View at Google Scholar · View at Scopus
  38. W. Tsai, “Knowledge transfer in intraorganizational networks: effects of network position and absorptive capacity on business unit innovation and performance,” Academy of Management Journal, vol. 44, no. 5, pp. 996–1004, 2001. View at Publisher · View at Google Scholar · View at Scopus
  39. R. Reagans and B. McEvily, “Network structure and knowledge transfer: The effects of cohesion and range,” Administrative Science Quarterly, vol. 48, no. 2, pp. 240–356, 2003. View at Publisher · View at Google Scholar · View at Scopus
  40. Y. Jiang and J. C. Jiang, “Understanding social networks from a multiagent coordination perspective,” IEEE Transactions on Parallel and Distributed Systems, no. 99, pp. 1–17, 2013. View at Google Scholar
  41. X. Xiao-dong, X. Yin-tao, and Z. Shi-rui, “Simulation investigation of rumor propagation in microblogging community,” Computer Engineering, vol. 37, no. 10, pp. 272–274, 2011. View at Google Scholar
  42. Z. Yang, J. Tang, J. Li, and W. Yang, “Social community analysis via a factor graph model,” IEEE Intelligent Systems, vol. 26, no. 3, pp. 58–65, 2011. View at Publisher · View at Google Scholar · View at Scopus
  43. J. Zeng, S. Zhang, and C. Wu, “A framework for WWW user activity analysis based on user interest,” Knowledge-Based Systems, vol. 21, no. 8, pp. 905–910, 2008. View at Publisher · View at Google Scholar · View at Scopus