Elements of Network Science: Theory, Methods by Antonio Zinilli(.PDF)+
File Size: 45.1 MB
Elements of Network Science: Theory, Methods and Applications in Stata, R and Python by Antonio Zinilli
Requirements: .ePUB, .PDF reader, 45.1 MB
Overview: This book provides readers with a comprehensive guide to designing rigorous and effective network science tools using the statistical software platforms Stata, R, and Python. Network science offers a means to understand and analyze complex systems that involve various types of relationships. This text bridges the gap between theoretical understanding and practical application, making network science more accessible to a wide range of users. It presents the statistical models pertaining to individual network techniques, followed by empirical applications that use both built-in and user-written packages, and reveals the mathematical and statistical foundations of each model, along with demonstrations involving calculations and step-by-step code implementation. Each chapter includes real-world data applications from the social sciences, using at least one of the platforms Stata, R, and Python, providing a more comprehensive understanding of the availability of network science methods across different software platforms. The underlying computer code and data sets are available online.
Genre: Non-Fiction > Tech & Devices

Free Download links:
https://trbt.cc/adgmprnno3rn.html
https://katfile.com/ohyku6zdm6ft/Elements_of_Network_Science.rar.html