Mental Map-Preserving Visualization through a Genetic Algorithm

نویسندگان

چکیده

The video game industry has evolved significantly, with different genres becoming popular over time, but how to visualize such information by curating data into a form that makes it easier identify and understand the trends is quite an interesting research topic. This focuses on producing animation of aesthetically pleasing two-dimensional (2D) undirected graphs based PC datasets. are further analyzed for developing web-based application giving users ability control create graph. To make graph, changes between displays previous following periods set as small possible, allowing user grasp differences graph’s structure faster. A genetic algorithm-based graph drawing minimizes both aesthetic criteria mental map cost proposed in this tackle problem. Furthermore, our experiments, we could find best period start with, so do not necessarily need from first calculate result. Our experiment results proved smoother be achieved, better preserved throughout animation.

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ژورنال

عنوان ژورنال: Applied sciences

سال: 2021

ISSN: ['2076-3417']

DOI: https://doi.org/10.3390/app11104336