Advertisement

Ecological Analysis on Evolution of Information Systems

  • Ying Liu
  • Shu-ren Zhang
  • Mei-qi Fang
Part of the IFIP International Federation for Information Processing book series (IFIPAICT, volume 252)

Abstract

Information systems nowadays are growing and changing with a high speed. The flourish of system applications and participators imply opportunities and enthusiasm. Knowledge of the systems’ evolution will be important to grasp the trend and so find a direction in the new era. To study the complicated and fast changing web environment, the article refers to ecological analysis. Two evolving models, agent emergence model and system integrated model, are studied. The evolving pattern of typical web applications is studied. According to the analysis, some potential opportunities are declared. Then collaborative structure of web components in integrated systems is analyzed based on network perspective. Popularity of web components and cluster structure of integrated systems, as well as their meanings, are discussed.

Keywords

Information System Closeness Centrality Information Ecology Ecological Analysis Organizational Ecology 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    T.H. Davenport, L. Prusak, Information Ecology: Mastering the Information and Knowledge Environment, Oxford University Press, New Your, NY, (1997)Google Scholar
  2. 2.
    Y. Malhotra, Information Ecology and Knowledge Management: Toward Knowledge Ecology for Hyperturbulent Organizational Environments, Encyclopedia of Life Support Systems (EOLSS), UNESCO/EOLSS Publishers, Oxford, UK. (2002)Google Scholar
  3. 3.
    M.T. Hannan, J. Freeman, Organizational Ecology, Cambridge, MA: Harvard University Press. (1989)Google Scholar
  4. 4.
    G.R. Carroll, M.T. Hannan, The Demography of Corporations and Industries, Princeton, NJ: Princeton University Press. (2000)Google Scholar
  5. 5.
    J.A.C. Baum, J.V. Singh, Organizational Niche and the Dynamics of Organizational Founding. Organization Science, 5(4):11. pp 483–501 (1994)CrossRefGoogle Scholar
  6. 6.
    E.R. Pianka, Competition and niche theory, Theoretical Ecology, Second Edition edited by R. M. May, Chapter 8 (Blackwell, 1981) pp. 167–196Google Scholar
  7. 7.
    T. O’Reilly, What Is Web 2.0, Design Patterns and Business Models for the Next Generation of Software (2005, 9), http://www.oreillynet.com/pub/a/oreilly/tim/news/2005/09/30/what-is-web-20.html
  8. 8.
    T. O’Reilly, Web 2.0 Compact Definition, (2006, 10) http://radar.oreilly.com/archives/2006/12/web_20_compact.html
  9. 9.
    D. Hinchcliffe, The State of Web 2.0, 2006, 4. http://web2.wsj2.com/the_state_of_web_20.htm
  10. 10.
    S.M. Stanley, An Ecological Theory for the Sudden Origin of Multicellular Life in the Late Precambrian, PNAS 1973 70: 1486–1489 Proceedings of the National Academy of Sciences (1973)CrossRefGoogle Scholar
  11. 11.
    “TrackBack Technical Specification”, (http://www.movabletype.org/docs/mttrackback.html)
  12. 12.
    T. Hammond, T. Hannay, and B. Lund, The Role of RSS in Science Publishing, “Syndication and Annotation on the Web”, D-Lib Magazine, Nature Publishing Group, (2004, 12) (http://www.sythe.org/rss/12hammond.html)
  13. 13.
    A. Matties. Folksonomies-Cooperative Classification and Communication Through Shared Metadata [EB/OL], http://www.adammathes.com/academic/computer-mediatedcommunication/folksonomies.html. 2004)
  14. 14.
    M. Jensen, E. Alternatives, A Brief History of Weblogs, Columbia Journalism Review, 2003 (5)Google Scholar
  15. 15.
    S. Wasserman, K Faust, D. Iacobucci, Social Network Analysis: Methods and Applications. Cambridge, Cambridge University Press (1994)CrossRefGoogle Scholar
  16. 16.
    S.P. Borgatti, M.G. Everett, and L.C. Freeman, Ucinet 6 for Windows, Harvard: Analytic Technologies. (2002)Google Scholar
  17. 17.
    R.A. Hanneman, and M. Riddle, Introduction to social network methods, Riverside, CA: University of California, Riverside (2005)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2007

Authors and Affiliations

  • Ying Liu
    • 1
  • Shu-ren Zhang
    • 2
  • Mei-qi Fang
    • 1
  1. 1.Information SchoolRenmin University of ChinaHai Dian District, BeijingChina
  2. 2.School of ManagementHangzhou Dianzi UniversityHangzhou ZhejiangChina

Personalised recommendations