Protein Connections

An Edgar initiated topic has led to some in-depth thinking of networks. While working on an architectural problem involving nodes and connections, I found myself using different strategies for joining. The networks were data-interpretations and sometimes simple forced-connections of locations on a map. In the end, all networks could be generalized into three categories.

The grid method involves symmetry and economic distribution of paths. The data sets in this category were usually evenly spread or so dense that no visual pattern emerged. Sometimes the grid method was used to simplify networks to avoid unnecessary complexity.

An intuitive approach assesses redundancies ad hoc and sometimes makes unwarranted claims, albeit inventive or in-line with secondary logic. When two branches formed a V it was obvious to make a triangle out of it. When this scenario repeated itself several times, the network gained complexity but also functionality. Doubling back was erased and a multiplicity of nodes emerged.

A third strategy was more scientific in its creation and involved a programmatic assessment of relationships. A larger X allows for a larger number of Y. The smallest of X were allowed the smallest of Y. In this case, variable Y (paths) ranged from 1-8 and X (nodes) was an interpretation with 4 sizes. The strategy led to 'demand based' results.

The networks can be seen below. Try to assess them!



But where does this all lead? A future post by Mr. E (mystery) on the uniqueness of human beings relative to fruit flys. An article explaining this topic can be found here. Some eye-sugar related to the issue is what is below.