Abstract
Aims / Objectives: This particular study is aimed to develop some proper mathematical model to justify the big data consuming economical framework with the proper social interactions. So that it can build some major key processes assessing several types of economical frames. 
 Study Design: Chain Phenomena Analysis
 Place and Duration of Study: University of Guadalajara, Physics Department, Data Science Group.
 Results: Model exposition.
 Conclusion: I show how, as long as time change currently, social interaction impact on economical framework has become bigger. Big Data tools to manipulate high volume levels of information from this interactions have been a strongest platform to analyse economical indicators, such as those which repercussions affects financial stock markets. This process is modelled in this article.
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