IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-15-3977-0_98.html
   My bibliography  Save this book chapter

The Visualization Analysis of Organizational Information Ecosystem Development Based on Social Networks

In: Proceedings of the 23rd International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Wenjia Guo

    (Guizhou Normal University)

  • Junwei Zheng

    (Kunming University of Science and Technology)

  • Hongtao Xie

    (Kunming University of Science and Technology)

Abstract

In the information ecological chain, the social network has great impact on the propagation of organizational information. It is necessary to analyze and summarize the relevant research. Based on the journal papers published by Web of Science core collection from 1997 to 2018, the paper applies the visualization analysis to draw knowledge maps about the information ecosystem based the social network, and carrying on the detailed analysis from the knowledge structure and research hotspots of the impact mechanism. It promotes the development and construction of organizational information ecosystem in new social media………………….

Suggested Citation

  • Wenjia Guo & Junwei Zheng & Hongtao Xie, 2021. "The Visualization Analysis of Organizational Information Ecosystem Development Based on Social Networks," Springer Books, in: Fenjie Long & Sheng Zheng & Yuzhe Wu & Gangying Yang & Yan Yang (ed.), Proceedings of the 23rd International Symposium on Advancement of Construction Management and Real Estate, pages 1269-1281, Springer.
    • Handle: RePEc:spr:sprchp:978-981-15-3977-0_98
    DOI: 10.1007/978-981-15-3977-0_98
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-981-15-3977-0_98. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.