Scientific applications have multiple black boxes, and what goes inside these boxes is complex and often thought of as magical. However, they all follow a systematic set of protocols. These protocols are well known in the research community. For instance, network models are widely used to represent complex structured data, such as protein networks, molecular genetics, and chemical structures. Another interesting field in the research community is bioinformatics. This is a growing field that has lately generated a considerable amount of breakthrough in research.

In the field of biology, there are many different complex structures, such as DNA sequences, protein structures, and so on. In order to compare, let's take a look at some of the unknown elements within these structures. It is helpful to have a model that will visually display them. Similarly, in any application of the graph theory or networks, it is essentially beneficial to be...