| Author | : Shudong Li |
| File Size | : 50,9 Mb |
| Publisher | : Frontiers Media SA |
| Language | : English |
| Release Date | : 07 March 2022 |
| ISBN | : 9782889745968 |
| Pages | : 194 pages |
Download or read online Data Driven Mathematical and Statistical Models of Online Social Networks written by Shudong Li,Zhen Wang,Chengyi Xia,Lin Wang,Daihai He, published by Frontiers Media SA which was released on 2022-03-07. Get Data Driven Mathematical and Statistical Models of Online Social Networks Books now!
Get BookThis book explains how to use a data-driven approach to design strategies for social media content delivery. It first introduces readers to how social information can be effectively gathered for big data analysis, which provides content delivery intelligence. Secondly, the book describes data-driven models to capture information diffusion in online
Get BookThe book lies at the interface of mathematics, social media analysis, and data science. Its authors aim to introduce a new dynamic modeling approach to the use of partial differential equations for describing information diffusion over online social networks. The eigenvalues and eigenvectors of the Laplacian matrix for the underlying
Get BookThe book presents current research advances, both academic and industrial, in machine learning, artificial intelligence, and data analytics for biomedical and healthcare applications. The book deals with key challenges associated with biomedical data analysis including higher dimensions, class imbalances, smaller database sizes, etc. It also highlights development of novel pattern
Get BookNetworks are ubiquitous in science and have become a focal point for discussion in everyday life. Formal statistical models for the analysis of network data have emerged as a major topic of interest in diverse areas of study, and most of these involve a form of graphical representation. Probability models
Get BookIntroduces the topic gently and intuitively with ample famous examples and case studies Develops and explains intuitively the information flow models, and thereafter builds the control theory for information management and propagation Includes mathematical treatment of information spread and fake news epidemics and step by step development of modeling framework
Get BookThis book offers a holistic framework to study behavior and evolutionary dynamics in large-scale, decentralized, and heterogeneous crowd networks. In the emerging crowd cyber-ecosystems, millions of deeply connected individuals, smart devices, government agencies, and enterprises actively interact with each other and influence each other’s decisions. It is crucial to
Get BookDownload or read online Data driven Modeling and Optimization Applications to Social Computing written by Chao Gao,Zhanwei Du,Lin Wang,Peican Zhu, published by Frontiers Media SA which was released on 2022-09-14. Get Data driven Modeling and Optimization Applications to Social Computing Books now! Available in PDF, ePub
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