Python for Graph and Network Analysis

✍ Mohammed Zuhair Al-Taie and Seifedine Kadry 📂 Library 📅 2017 🏛 Springer 🌐 English

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

Network Analysis Made Simple An introduc

📁 Network Analysis Made Simple An introduction to network analysis and applied graph theory using Python and NetworkX

✍ Eric Ma and Mridul Seth 📂 Library 📅 2021 🏛 leanpub.com 🌐 English

Hybrid Graph Theory and Network Analysis

📁 Hybrid Graph Theory and Network Analysis

✍ Ladislav Novak, Alan Gibbons 📂 Library 📅 2009 🏛 Cambridge University Press 🌐 English

This book combines traditional graph theory with the matroid view of graphs in order to throw light on the mathematical approach to network analysis. The authors examine in detail two dual structures associated with a graph, namely circuits and cutsets. These are strongly dependent on one another an

Hybrid Graph Theory and Network Analysis

📁 Hybrid Graph Theory and Network Analysis

✍ Ladislav Novak, Alan Gibbons 📂 Library 📅 1999 🏛 CUP 🌐 English

This book combines traditional graph theory with the matroid view of graphs in order to throw light on the mathematical approach to network analysis. The authors examine in detail two dual structures associated with a graph, namely circuits and cutsets. These are strongly dependent on one another an

Network Graph Analysis and Visualization

📁 Network Graph Analysis and Visualization with Gephi

✍ Ken Cherven 📂 Library 📅 2013 🏛 Packt Publishing 🌐 English

Gephi is a great platform for analyzing and turning your data into highly communicative visualizations, and this book will teach you to create your own network graphs, and then customize and publish them to the web. Overview <ul> <li>Use your own data to create network graphs d

Python for Data Analysis: Data Wrangling

📁 Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Ipython

✍ Wes McKinney 📂 Library 📅 2017 🏛 O'Reilly Media 🌐 English

Looking for complete instructions on manipulating, processing, cleaning, and crunching structured data in Python? The second edition of this hands-on guide--updated for Python 3.5 and Pandas 1.0--is packed with practical cases studies that show you how to effectively solve a broad set of data analys