مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

204
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

81
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

Using AHP to complex network analysis tools selection

Pages

  635-645

Abstract

 The analysis of complex networks become more popular through the easily access of huge network data resources in the last years. Researchers have developed techniques and models to help understanding and predicting the behaviour of complex network systems. This advanced analysis is not possible without proper softwares and tools. A large number of tools are available with specifi c features for analysing and visual-izing network systems and we can use a software or a set of suitable tools based on these features and capabilities for the project. Understanding the features of tools and softwares help to achieve better results from network analysis. In this paper, first we review the structure of different types of networks. Based on Wenjun paper, the complex networks are divided into four categories: information networks; social networks; Biological networks and Technological networks [17]. Then we define some functional indicators including: Basic Functionalities, Graph type Support, File For-mats Support, Indicator Supports, Visualization Layouts Support, and Community Detection Support. In the next step, by using analytic hierarchical processing (AHP) and truly de nable criteria try to evaluate main Complex network analysis (CNA) softwares. Eventually, an opportunity is provided using AHP to identify, understand, and evaluate completely four main CNA softwares objectively before identifying and selecting the most efficient CNA software.

Multimedia

  • No record.
  • Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    Pir Mohammadiani, Rojiar. (2019). Using AHP to complex network analysis tools selection. COMPUTATIONAL METHODS FOR DIFFERENTIAL EQUATIONS, 7(4 (Special Issue)), 635-645. SID. https://sid.ir/paper/345706/en

    Vancouver: Copy

    Pir Mohammadiani Rojiar. Using AHP to complex network analysis tools selection. COMPUTATIONAL METHODS FOR DIFFERENTIAL EQUATIONS[Internet]. 2019;7(4 (Special Issue)):635-645. Available from: https://sid.ir/paper/345706/en

    IEEE: Copy

    Rojiar Pir Mohammadiani, “Using AHP to complex network analysis tools selection,” COMPUTATIONAL METHODS FOR DIFFERENTIAL EQUATIONS, vol. 7, no. 4 (Special Issue), pp. 635–645, 2019, [Online]. Available: https://sid.ir/paper/345706/en

    Related Journal Papers

  • No record.
  • Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button