Manipulate and analyze network data with the power of Python and NetworkX Key Features β’ Understand the terminology and basic concepts of network science β’ Leverage the power of Python and NetworkX to represent data as a network β’ Apply common techniques for working with network data of varyin
Understanding Large Temporal Networks and Spatial Networks: Exploration, Pattern Searching, Visualization and Network Evolution
β Scribed by Patrick Doreian, Vladimir Batagelj, Anuska Ferligoj, Natasa Kejzar
- Publisher
- Wiley
- Year
- 2014
- Tongue
- English
- Leaves
- 467
- Series
- Wiley Series in Computational and Quantitative Social Science
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book explores social mechanisms that drive network change and link them to computationally sound models of changing structure to detect patterns. This text identifies the social processes generating these networks and how networks have evolved.
β¦ Subjects
ΠΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊΠ°;ΠΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½Π°Ρ Π»ΠΈΡΠ΅ΡΠ°ΡΡΡΠ°;ΠΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½ΡΠ΅ ΡΠ΅ΡΠΈ;
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