Submit Your Paper
  1. Home
  2. Journals
  3. Journal of Cognitive Human-Computer Interaction

Journal of Cognitive Human-Computer Interaction

Journal DOI

https://doi.org/10.54216/JCHCI

Submit Your Paper

2771-1463ISSN (Online) 2771-1471ISSN (Print)
Submit a Paper

Journal Menu

Homepage Journal Overview Editorial Board Submitting Articles Indexing & Abstracting

Journal Volumes

Full Length Article

Journal of Cognitive Human-Computer Interaction

Volume 3, Issue 2, PP: 36-41, 2022 | Cite this article as | XML | | Html PDF

Graph Algo Visualizer

Sweeta Bansal   1 * , Karan Kohli   2 , K. K. Vishwakarma   3 , Kush Gupta   4

  • 1 Computer Science and Engineering, Inderprastha Engineering College, Uttar Pradesh, India. - (sweeta.bansal@ipec.org.in)
  • 2 Computer Science and Engineering, Inderprastha Engineering College, Uttar Pradesh, India - (karan3020000@gmail.com)
  • 3 Computer Science and Engineering, Inderprastha Engineering College, Uttar Pradesh, India - (21krishna22@gmail.com)
  • 4 Computer Science and Engineering, Inderprastha Engineering College, Uttar Pradesh, India. - (kushgupta.potus@gmail.com)

    • Doi: https://doi.org/10.54216/JCHCI.030205

    Received: January 28, 2022 Accepted: April 09, 2022
    Abstract

    Visual aids can be used to visualize different concepts in computer science. Algorithm recognition has been a major theme for Computer Science education for years, but it has not reached schools / teaching halls as a major educational tool. The Graph Algo Visualizer is based on the Design & Analysis of Graph Algorithms. It is a Visualizer that helps to understand and evaluate the working & efficiency of Graph Algorithms easily as compared to the naïve approach of understanding algorithms through code.

    Keywords :

    Graph Visualizer , Data Structure , Data visualization

    References

    [1] Aakansha N. Tabhane, Nikhil Likhar, KalyaniMohod, ManaliKadbe, “Path Finding Visualizer”, IJARIIE, Vol-

    7 Issue-3 2021.[Online serial].

    [2] Nishant Kumar and NidhiSengar, “Pathfinder Visualizer of Shortest Paths Algorithms”, International Journal

    for Modern Trends in Science and Technology, 6(12): 479-483, 2020.

    [3] Martin Eklund and David Svantesson, “A naive implementation of Topological Sort on GPU”, CSC, KTH,

    2016.

    [4] Ahmad AffandiSupli, NorshuhadaShiratuddin and SyamsulBahrinZaibon, “Critical Analysis on Algorithm

    Visualization Study”, International Journal of Computer Applications (0975 – 8887), Volume 150 – No.11,

    Sep 2016.

    [5] Navadeepika.K.M.R, Dr.V.D.Ambeth Kumar, “Online Conversion of Tamil Language into Tactile for Visual

    Impaired People”, International Journal of Advanced Science and Technology Vol. 29, No. 5, pp. 3401 - 3407,

    (2020).

    [6] Christopher D.Hundhausen, Sarah A.Douglas And John T.Stasko, “ A Meta-Study of Algorithm Visualization

    Effectiveness”,Journal of Visual Languages &Computing,Volume 13, Issue 3, pp. 259-290, Jun 2002.

    [7] C. Shaffer. A Practical Introduction to Data Structures and Algorithm Analysis.Prentice Hall, second edition,

    2001.

    [8] M. Anitha, V. D. Ambeth Kumar, S. Malathi, V. D. Ashok Kumar, M. Ramakrishnan, Abhishek Kumar, and

    Rashid Ali, “ A survey on the usage of pattern recognition and image analysis methods for the lifestyle

    improvement on low vision and visually impaired people”, Pattern Recognition and Image Analysis” Journal

    and will be published in Issue 1, Vol. 31, 2021. DOI:10.1134/S105466182101003X

    [9] P. Saraiya. Effective features of algorithm visualizations. Master’s thesis, Department of Computer Science,

    Virginia Tech, July 2002.

    Cite This Article As :
    Sweeta Bansal, Karan Kohli, K. K. Vishwakarma, Kush Gupta. "Graph Algo Visualizer." Full Length Article, Vol. 3, No. 2, 2022 ,PP. 36-41 (Doi   :  https://doi.org/10.54216/JCHCI.030205)
    Sweeta Bansal, Karan Kohli, K. K. Vishwakarma, Kush Gupta. (2022). Graph Algo Visualizer. Journal of , 3 ( 2 ), 36-41 (Doi   :  https://doi.org/10.54216/JCHCI.030205)
    Sweeta Bansal, Karan Kohli, K. K. Vishwakarma, Kush Gupta. "Graph Algo Visualizer." Journal of , 3 no. 2 (2022): 36-41 (Doi   :  https://doi.org/10.54216/JCHCI.030205)
    Sweeta Bansal, Karan Kohli, K. K. Vishwakarma, Kush Gupta. (2022). Graph Algo Visualizer. Journal of , 3 ( 2 ), 36-41 (Doi   :  https://doi.org/10.54216/JCHCI.030205)
    Sweeta Bansal, Karan Kohli, K. K. Vishwakarma, Kush Gupta. Graph Algo Visualizer. Journal of , (2022); 3 ( 2 ): 36-41 (Doi   :  https://doi.org/10.54216/JCHCI.030205)
    Sweeta Bansal, Karan Kohli, K. K. Vishwakarma, Kush Gupta, Graph Algo Visualizer, Journal of , Vol. 3 , No. 2 , (2022) : 36-41 (Doi   :  https://doi.org/10.54216/JCHCI.030205)

    Article Statistics

    View
    4668
    Download
    702

    Download