Big Data of Complex Networks

✍ Scribed by Matthias Dehmer, Frank Emmert-Streib

Publisher: CRC Press
Year: 2016
Tongue: English
Leaves: 324
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Big Data of Complex Networks presents and explains the methods from the study of big data that can be used in analysing massive structural data sets, including both very large networks and sets of graphs. As well as applying statistical analysis techniques like sampling and bootstrapping in an interdisciplinary manner to produce novel techniques for analyzing massive amounts of data, this book also explores the possibilities offered by the special aspects such as computer memory in investigating large sets of complex networks. Intended for computer scientists, statisticians and mathematicians interested in the big data and networks, Big Data of Complex Networks is also a valuable tool for researchers in the fields of visualization, data analysis, computer vision and bioinformatics.

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