Python for Graph and Network Analysis

Szerző: Mohammed Zuhair Al-Taie, Seifedine Kadry

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer International Publishing AG

Elérhetőség: Beszállítói készleten

Küldés 5-8 napon belül

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This research monograph provides the means to learn the theory and practice of graph and network ana...

Információk a könyvről

Szerző

Mohammed Zuhair Al-Taie, Seifedine Kadry

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2018

oldal

203

EAN

9783319850375

Enbook ID

20119377

Kiadó

Springer International Publishing AG

Súly

3401

Méretek

155 x 235 x 13

Teljes leírás

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 and process 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.

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Python for Graph and Network Analysis

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