Name: Python for Graph and Network Analysis (en Inglés)
Price: 352906.00 COP
Availability: InStock
Author: Al-Taie, Mohammed Zuhair ; Kadry, Seifedine
ISBN: 9783319850375

portada Python for Graph and Network Analysis (en Inglés)

Python for Graph and Network Analysis (en Inglés)

Formato

Libro Físico

Autor

Seifedine Kadry

Mohammed Zuhair Al-Taie

Editorial

Springer

Idioma

Inglés

N° páginas

203

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 1.2 cm

Peso

0.31 kg.

ISBN13

9783319850375

N° edición

Categorías

Ciencia y análisis de datos: generalidades
Tecnología de la información: cuestiones generales
Lenguajes de programación y extensión/scripting: general
Análisis y captura de datos

Python for Graph and Network Analysis (en Inglés)

Seifedine Kadry (Autor) · Mohammed Zuhair Al-Taie (Autor) · Springer · Tapa Blanda

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Reseña del libro "Python for Graph and Network Analysis (en Inglés)"

This research monograph provides the means to learn the theory and practice of graph and network analysis using the Python programming language. The social network analysis techniques, included, will help readers to efficiently analyze social data from Twitter, Facebook, LiveJournal, GitHub and many others at three levels of depth: ego, group, and community. They will be able to analyse militant and revolutionary networks and candidate networks during elections. For instance, they will learn how the Ebola virus spread through communities. Practically, the book is suitable for courses on social network analysis in all disciplines that use social methodology. In the study of social networks, social network analysis makes an interesting interdisciplinary research area, where computer scientists and sociologists bring their competence to a level that will enable them to meet the challenges of this fast-developing field. Computer scientists have the knowledge to parse andprocess data while sociologists have the experience that is required for efficient data editing and interpretation. Social network analysis has successfully been applied in different fields such as health, cyber security, business, animal social networks, information retrieval, and communications.