A study investigating the naturally evolving networks within our bodies proposed that homophyly and kinship play a fundamental part in natural networks and their individual fitness. The idea behind the homophyly and kinship principle is that a large network or natural community will share nodes with other natural communities. Homophily specifically, refers to the tendency for one to share characteristics with individuals they bond with. In these events nodes from one community acquire the chance to obtain benefits or information from those other natural networks.
Basing their algorithm on the fitness of networks they found that networks of cells share the same characteristics. They determined various properties for these natural networks inside of our bodies some of which are leadership and external de-centrality. Leadership refers to the leading nodes within a community who have many connections to other nodes within the area. External de-centrality is the idea that neighbors from one community are at times found in different communities. This is similar to the concept of social affiliation networks, which are connections between nodes and social foli. In the case of the human body these social affiliation networks would be the interactions of proteins and the network of tissue cells.
By using network theory concepts they were able to have an incredible breakthrough. They found that using their algorithm would allow them to decipher the unique gene set for every unit of cells within the network of tissue in our body. With this ability they could calculate the survival time or fitness of these cells and accurately recognize the functions of the natural networks. Their algorithm also passed the evaluation for the classification of cancers.