{"product_id":"modeling-information-diffusion-in-online-social-networks-with-partial-differential-equations-springer-nature-switzerland-ag-9783030388508-haiyan-wang","title":"Modeling Information Diffusion in Online Social Networks with Partial Differential Equations","description":"\u003cp\u003eDiscover the groundbreaking work of Haiyan Wang in \u003cstrong\u003eModeling Information Diffusion in Online Social Networks with Partial Differential Equations\u003c\/strong\u003e. 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.\u003c\/p\u003e","brand":"Haiyan Wang","offers":[{"title":"Default Title","offer_id":52268175884630,"sku":"9783030388508","price":66.68,"currency_code":"EUR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0886\/3206\/6390\/files\/9783030388508.jpg?v=1767801171","url":"https:\/\/www.laufgard.com\/products\/modeling-information-diffusion-in-online-social-networks-with-partial-differential-equations-springer-nature-switzerland-ag-9783030388508-haiyan-wang","provider":"Bookshop","version":"1.0","type":"link"}