Skip to main content
SpringerLink
Log in

Evolution Analysis of Online Knowledge Transfer Network

  • Conference paper
Information Computing and Applications (ICICA 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 391))

Included in the following conference series:

  • 1548 Accesses

Abstract

Based on the study of online knowledge transfer network‘s topology and dynamic statistical characteristics, this paper found the characteristic differences between the evolution of online knowledge transfer network and the traditional BA network model. Through the empirical data analysis of a BBS forum, it gives out an evolution model of the online knowledge transfer network based on the PageRank algorithm. Meanwhile, in the network analysis it also found that the network growth model has a power-law distribution of degree. Through the control of the attenuation coefficient and the node degree growth factor, it can ultimately realize growth control of the online knowledge transfer network.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Barabasi, A.: Emergence of scaling in random networks. Science 286, 509–512 (1999)

    Article  MathSciNet  MATH  Google Scholar 

  2. Ji, L.: Growing complex network model with accelerating increasing number of nodes. Acta Physica Sinica 55(8), 4051–4057 (2006)

    Google Scholar 

  3. Su, K., Wang, L.: Flexible Weighted Complex Network Evolving Model and Simulation. Journal of System Simulation 22(1), 266–271 (2009)

    Google Scholar 

  4. Qin, S., Dai, G.: Dgree Distribution of Evolution Networks with the Acceleration of Edge Attachment. Systems Engineering Theory & Practice 11, 159–163 (2007)

    Article  Google Scholar 

  5. Bai, S., He, M.: The Interactive Structure and Process of BBS. Sociological Research 5, 8–18 (2003)

    Google Scholar 

  6. Zhang, Z.: Evolving Models of Complex Networks. Dalian University of Technology (2006)

    Google Scholar 

  7. Li, Z.: Research on the Evolution Process of Virtual Community Networks. Journal of Physics 57(9), 5419–5424 (2008)

    Google Scholar 

  8. Lind, P.G., Gallas, J.A.C., Herrmann, H.J.: Coherence in scale-free networks of chaotic maps. Physics Review E 70(5), 20–24 (2004)

    Article  Google Scholar 

  9. Barabasi, A., Jeong, H.: Mean-field theory of scale-free random networks. Physical A 272, 173–187 (1999)

    Article  Google Scholar 

  10. Dorogovtsev, S.N., Mendes, J.F.F., Samukhin, A.N.: Structure of growing networks with preferential linking. Physical Review Letters 85, 4633 (2000)

    Article  Google Scholar 

  11. Liang, Z.: The Growing Models of Complex Networks and the Partitional Method for Community Structure. Dalian University of Technology (2008)

    Google Scholar 

  12. Page, L., Brin, S.: The PageRank Citation Ranking: Bringing Order to the Web. Technical Report. Stanford InfoLab (1999)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. College of Economic and Management, Nanjing University of Post and Telecommunication, Nanjing, 210046, China

    Jing Wei

  2. College of Economic and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China

    Ruixiao Song, Jianjun Miao & Zan Xu

Authors
  1. Jing Wei
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ruixiao Song
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jianjun Miao
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Zan Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Shanghai Jiao Tong University, 800 Dongchuan Road, Dianxinqunlou 1-401, 200240, Shanghai, China

    Yuhang Yang

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Nanyang Avenue, 639798, Singapore, Singapore

    Maode Ma

  3. College of Science, Hebei United University, 063009, Tangshan, Hebei, China

    Baoxiang Liu

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wei, J., Song, R., Miao, J., Xu, Z. (2013). Evolution Analysis of Online Knowledge Transfer Network. In: Yang, Y., Ma, M., Liu, B. (eds) Information Computing and Applications. ICICA 2013. Communications in Computer and Information Science, vol 391. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53932-9_45

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-53932-9_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-53931-2

  • Online ISBN: 978-3-642-53932-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation