Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
The current
revolution in technology forces most daily life systems to generate large-scale
data. Understanding such data is not an easy task due to its size and
complexity. Therefore, data visualization has played a key role in
understanding data more clearly. Moreover, most of the available approaches for
data visualization are considered traditional that deal with data in a 2D way.
Furthermore, one of the most modern methods for data visualization is
converting data into network models that include nodes and edges. This kind of
visualization has been proven as an efficient method of analyzing large-scale
data. On the other hand, with the advent of virtual reality technology and the
metaverse concept, data can be visualized and analyzed in an interactive and 3D
way. However, there is a lack in the literature providing enough information on
how to generate such 3D models. This thesis comes to investigate the
integration of virtual reality technology and complex networks, and how this
integration can generate interactive data visualization models. To this end, a
3D VR-based interactive biological network model is designed and implemented to
be adoptable by the metaverse platform. The biological network represents the
gene-gene interactions of the sex chromosomes. The developed model enables
analysts to dive into data and interact with its objects, which lead to a more
professional, deep, and accurate analysis. The model proved its efficiency in
terms of usability when tested by experts.
Country : Iraq
IRJIET, Volume 7, Issue 5, May 2023 pp. 48-68