The idea of applying statistical analysis to study social trends and search for law-like patterns in social behavior is not new. But the idea of calling it “social physics” suggests the use of the scientific method, which is what made “regular physics” so successful. But the reason that “regular physics” has been so successful is because it is a process that includes both experimental and theoretical components. The new “social physics” has plenty of “big data” to analyze, but collecting and analyzing data is the experimental part of the process. Once the data is collected, it is important to use the data to design, test and refine theoretical models. Models are required in order to represent the most fundamental units and processes that are implicit to the system being studied. Mathematical models symbolically isolate the behavior of subsystems and relate that behavior to fundamental units. They must then be flipped around by using the proposed fundamental units and relationships to predict the behavior of the macro system, which can be tested by experiments and with actual data to verify that they are accurate. The purpose of this paper is to provide a theoretical base model for social physics. It is hypothesized that the same fundamental components used in quantum physics, i.e. those of oscillating systems, apply to the systems studied in social physics. The paper is organized into four parts. Part 1 addresses the statistical part of the process, the data collection and analysis that reveal the existence of some underlying theme. Parts 2 and 3 present some important twists in the nomenclature and interpretation of fundamental concepts that make the model complete and flexible enough to express how living subsystems morph into more complex organisms as they mature. And Part 4 describes how application of the model with these interpretations in social physics will provide verifiable evidence that the new interpretations are the key to unlocking the part of reality that regular physics has failed to recognize.