Company Filing History:
1 out of 832,680 Years Active: 2022
Title: Danelle Shah: Innovator in Social Media Influence Estimation
Introduction
Danelle Shah is a prominent inventor based in Lexington, MA (US). She has made significant contributions to the field of social media analytics through her innovative patent. Her work focuses on understanding and quantifying influence within social media networks, a crucial aspect in today's digital landscape.
Latest Patents
Danelle Shah holds a patent for a "System and technique for influence estimation on social media networks using causal inference." This patent describes concepts, systems, and methods aimed at detecting and quantifying influence. The system includes a network sampling processor, a narrative discovery processor, and an influence quantification processor. The network sampling processor samples information from various social media networks. The narrative discovery processor identifies narratives related to the sampled information. Finally, the influence quantification processor processes this information to quantify the influence of the narrative across social media platforms.
Career Highlights
Throughout her career, Danelle has demonstrated a strong commitment to advancing the understanding of social media dynamics. Her innovative approach to influence estimation has positioned her as a key figure in the field. With one patent to her name, she continues to explore new methodologies and technologies that enhance the analysis of social media interactions.
Collaborations
Danelle Shah has collaborated with notable professionals in her field, including Steven Francis Smith and Edward Kao. These collaborations have further enriched her research and development efforts, contributing to the advancement of social media influence estimation techniques.
Conclusion
Danelle Shah is a trailblazer in the realm of social media analytics, with her patent reflecting her innovative spirit and dedication to understanding influence in digital networks. Her work continues to impact the way we analyze and interpret social media interactions.
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