Home / Journals Advances in Networks / Social Networking Dynamics and Predictive Algorithms
Social Networking Dynamics and Predictive Algorithms
Submission Deadline: Sep. 30, 2015
Lead Guest Editor
Gregory P Allen
RandomWalk Analytics LLC, New York, USA
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Introduction
For the past year I have been collecting data pertaining to the correlation between social media and financial market participants. I have constructed a mathematical model to justify my findings through the use social networking dynamics and identifying the dependency of two variables when a third independent one is introduced. What I have found is very interesting and I strongly feel this is the beginning of a journey where many paths of many disciplines will merge.

Being able to not only realize, but visualize an idea is a crucial part of any creative process. The question I have been asking myself, and now pose to you, is: If one can visualize their own idea, what would it look like to see another’s? The applications are endless. From digital representations of human sentiment to software that makes decisions based on it. From predictive algorithms for advising investments, to predictive programs that re-write themselves. From artistic renderings of data, to analytics that are self-explanatory. Etc. Presenting simple solutions to complicated problems.

The key to this is being able to quantify how good or how bad something is. Not just by trying to understand what is being said, but the effect it has on something non-organic and giving it a specific number value(s). In this day and age that is much more straight forward than it has ever been. I have been studying changes in trading volume of financial markets to gauge this, what would you use?
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