Company Filing History:
Years Active: 2014
Title: Françoise Soulie-Fogelman: Innovator in Predictive Analysis
Introduction
Françoise Soulie-Fogelman is a notable inventor based in Paris, France. He has made significant contributions to the field of predictive analysis, particularly in the context of social networks and behavioral studies. His innovative approach has implications for various applications, including marketing and social dynamics.
Latest Patents
Françoise holds a patent for a method and system for selecting a target with respect to behavior in a population of communicating entities. This method utilizes predictive analysis to create a model based on historical data, which includes a social network established during an initial observation period. The model incorporates behavioral centrality measures derived from data observed in a subsequent time period. By applying this model to a more recent social network, it provides predicted behavioral centrality measures for future periods. This innovative approach allows for the efficient selection of entities that may maximize virality concerning specific behaviors of interest. He has 1 patent to his name.
Career Highlights
Françoise has worked with Kxen, a company known for its expertise in predictive analytics and data mining. His role there has allowed him to further develop his ideas and contribute to advancements in the field.
Conclusion
Françoise Soulie-Fogelman is a pioneering inventor whose work in predictive analysis is shaping the future of behavioral studies and social network applications. His innovative methods provide valuable insights that can enhance decision-making processes in various domains.