In essence, big data refers to data connected according to a certain organizational structure, it is a very simple and direct thing, but from the phenomenal analysis, big data presents a complex and diverse state, this is because the phenomenon is determined by the observation point of view, just as Su Shi described in his poem, "Look across the mountains and peaks, near and far, different heights and different heights. The peaks on the side of the mountain, near and far, the heights are different. I don't know the true face of Mount Lushan, but only in this mountain".

This shows that the core of big data is the organizational structure, rather than the data itself, which is similar to the father of artificial life, Chris Langton (Chris Langton) on the description of life, "the essence of life lies in the organization of the material form, but not in the material itself", in fact, all the things in the model of the universe. Indeed, all things in the model of the universe seem to follow such rules of composition, structure and matter at the nodes.

The structure of big data is a multi-layered, intertwined and interrelated complex system structure, data is distributed in the nodes of the composition of the material, the correlation between the data is determined by the location of the nodes, rather than by the data itself to determine. In other words, when different data are located in the same node, the same association relationship can be obtained. For example, if Zhang San is in the position of the director of the governmental power structure in a certain county, he gets all the association relationships on this node position. If Li Si replaces Zhang San, then Li Si gets the association relationships on this position, and Zhang San loses the association relationships on this position and gets the association relationships on his new node position.