IDEAS home Printed from https://ideas.repec.org/a/inm/orisre/v19y2008i3p335-350.html
   My bibliography  Save this article

Research Note ---Towards Dynamic Visualization for Understanding Evolution of Digital Communication Networks

Author

Listed:
  • Matthias Trier

    (Department of Systems Analysis and IT, Institute for Business Informatics, TU Berlin, 10587 Berlin, Germany)

Abstract

The capabilities offered by digital communication are leading to the evolution of new network structures that are grounded in communication patterns. As these structures are significant for organizations, much research has been devoted to understanding network dynamics in ongoing processes of electronic communication. A valuable method for this objective is Social Network Analysis. However, its current focus on quantifying and interpreting aggregated static relationship structures suffers from some limitations for the domain of analyzing online communication with high volatility and massive exchange of timed messages. To overcome these limitations, this paper presents a method for event-based dynamic network visualization and analysis together with its exploratory social network intelligence software Commetrix. Based on longitudinal data of corporate email communication, the paper demonstrates how exploration of animated graphs combined with measuring temporal network changes identifies measurement artifacts of static network analysis, describes community formation processes and network lifecycles, bridges actor level with network level analysis by analyzing the structural impact of actor activities, and measures how network structures react to external events. The methods and findings improve our understanding of dynamic phenomena in online communication and motivate novel metrics that complement Social Network Analysis.

Suggested Citation

  • Matthias Trier, 2008. "Research Note ---Towards Dynamic Visualization for Understanding Evolution of Digital Communication Networks," Information Systems Research, INFORMS, vol. 19(3), pages 335-350, September.
    • Handle: RePEc:inm:orisre:v:19:y:2008:i:3:p:335-350
    DOI: 10.1287/isre.1080.0191
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/isre.1080.0191
    Download Restriction: no
    File URL: https://libkey.io/10.1287/isre.1080.0191?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gerald C. Kane & Sam Ransbotham, 2016. "Research Note—Content and Collaboration: An Affiliation Network Approach to Information Quality in Online Peer Production Communities," Information Systems Research, INFORMS, vol. 27(2), pages 424-439, June.
    2. Rahul Basole & Elliot Bendoly & Aravind Chandrasekaran & Kevin Linderman, 2022. "Visualization in Operations Management Research," INFORMS Joural on Data Science, INFORMS, vol. 1(2), pages 172-187, October.
    3. Azaizah, Nadeem & Reychav, Iris & Raban, Daphne R. & Simon, Tomer & McHaney, Roger, 2018. "Impact of ESN implementation on communication and knowledge-sharing in a multi-national organization," International Journal of Information Management, Elsevier, vol. 43(C), pages 284-294.
    4. Ray M. Chang & Wonseok Oh & Alain Pinsonneault & Dowan Kwon, 2010. "A Network Perspective of Digital Competition in Online Advertising Industries: A Simulation-Based Approach," Information Systems Research, INFORMS, vol. 21(3), pages 571-593, September.
    5. Mostafa Mostafapour & Farzad Movahedi Sobhani & Abbas Saghaei, 2022. "Monitoring Sparse and Attributed Network Streams with MultiLevel and Dynamic Structures," Mathematics, MDPI, vol. 10(23), pages 1-14, November.
    6. Arun Sundararajan & Foster Provost & Gal Oestreicher-Singer & Sinan Aral, 2013. "Research Commentary ---Information in Digital, Economic, and Social Networks," Information Systems Research, INFORMS, vol. 24(4), pages 883-905, December.
    7. Chan, Kimmy Wa & Li, Stella Yiyan & Zhu, John Jianjun, 2015. "Fostering Customer Ideation in Crowdsourcing Community: The Role of Peer-to-peer and Peer-to-firm Interactions," Journal of Interactive Marketing, Elsevier, vol. 31(C), pages 42-62.
    8. Yi-Da Chen & Susan A. Brown & Paul Jen-Hwa Hu & Chwan-Chuen King & Hsinchun Chen, 2011. "Managing Emerging Infectious Diseases with Information Systems: Reconceptualizing Outbreak Management Through the Lens of Loose Coupling," Information Systems Research, INFORMS, vol. 22(3), pages 447-468, September.
    9. Doyeon Kwak & Wonjoon Kim, 2017. "Understanding the process of social network evolution: Online-offline integrated analysis of social tie formation," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-16, May.

    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:inm:orisre:v:19:y:2008:i:3:p:335-350. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.