Modeling Information Diffusion in Online Social Networks with Partial Differential Equations

Discover the groundbreaking work of Haiyan Wang in Modeling Information Diffusion in Online Social Networks with Partial Differential Equations. Published by Springer Nature Switzerland AG in 2020, this insightful book spans 144 pages and explores the intersection of mathematics, social media analysis, and data science. Wang introduces a novel approach that advocates for a paradigm shift in how we model information diffusion within online social networks. This innovative framework not only enhances our understanding of social media dynamics but also establishes a solid theoretical foundation for addressing various spatio-temporal modeling challenges in today's big-data landscape. Whether you are a researcher, data scientist, or a social media analyst, this book is an essential resource for navigating the complexities of information spread in the digital age.