
Tell your friends about this item:
Modeling Information Diffusion in Online Social Networks with Partial Differential Equations - Surveys and Tutorials in the Applied Mathematical Sciences 2020 edition
Haiyan Wang
Modeling Information Diffusion in Online Social Networks with Partial Differential Equations - Surveys and Tutorials in the Applied Mathematical Sciences 2020 edition
Haiyan Wang
The book lies at the interface of mathematics, social media analysis, and data science. The new approach advocates a paradigm shift for modeling information diffusion in online social networks and lays the theoretical groundwork for many spatio-temporal modeling problems in the big-data era.
144 pages, 29 Illustrations, color; 10 Illustrations, black and white; XIII, 144 p. 39 illus., 29 il
Media | Books Paperback Book (Book with soft cover and glued back) |
Released | March 17, 2020 |
ISBN13 | 9783030388508 |
Publishers | Springer Nature Switzerland AG |
Pages | 144 |
Dimensions | 454 g |