While modularity Q more relies on size and total links of a network and can lead to serious resolution limit.
Rather than transporting the weight of gantries and risking astronaut Extravehicular Activities (EVAs), we can lower payload weight, reduce assembly complexity, and revolutionize space-structure modularity by relying on these new paradigms of construction and structure deployment.
Even modularity may rely on selection pressure, albeit in a more subtle form.
The modularity density D more relies on local connectivity of a network and can uncover finer modular structure.
Specifically, we noted that the traditional Y2H system relies on the modularity of a transcription factor, which is separated into two domains.
This approach relies on the modularity of the used components [ 4- 7] or the predictability of system function upon parts interconnection, environmental change or genetic context variation [ 8, 9].
A commonly used method to identify the hierarchical modular organization of network relies on detecting a global signature known as variation of clustering coefficient (so-called modularity scaling).
This kind of modularity does not involve explicit spatial location but nevertheless relies on a notion of proximity (of nodes in a network).
There exist different paradigms to solve this problem, such as the spectral clustering [73, 74] which relies on optimizing the process of cutting the graph, and the network modularity maximization methods.
