Inner Social Interactions Model of Big Data Impact on Economical Framework
A. Alatorre *
Department of Physics, University of Guadalajara, Olimpica Boulevard General Marcelino Garca Barragn 1421, Olmpica, 44430 San Pedro, Tlaquepaque, Jal, Mexico
*Author to whom correspondence should be addressed.
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.
Keywords: Big data, social networks, social interactions, economical framework, buisness intelligence