Complex network analysis in Python : recognize, construct, visualize, analyze, interpret / Dmitry Zinoviev ; edited by Adaobi Obi Tulton.

By:

Zinoviev, Dmitry [author.]

Contributor(s):

Tulton, Adaobi Obi [editor.]

Material type: Text

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781680502695

Subject(s):

DDC classification:

005.133 23

LOC classification:

QA76.73.P98 Z55 2018

Summary: "Construct, analyze, and visualize networks with networkx, a Python language module. Network analysis is a powerful tool you can apply to a multitude of datasets and situations. Discover how to work with all kinds of networks, including social, product, temporal, spatial, and semantic networks. Convert almost any real-world data into a complex network--such as recommendations on co-using cosmetic products, muddy hedge fund connections, and online friendships. Analyze and visualize the network, and make business decisions based on your analysis. If you're a curious Python programmer, a data scientist, or a CNA specialist interested in mechanizing mundane tasks, you'll increase your productivity exponentially"-- Amazon.com.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Book	Indian Institute of Management Visakhapatnam	005.133 (Browse shelf(Opens below))	Available		001830

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Includes bibliographical references (pages [215]-217) and index.

"Construct, analyze, and visualize networks with networkx, a Python language module. Network analysis is a powerful tool you can apply to a multitude of datasets and situations. Discover how to work with all kinds of networks, including social, product, temporal, spatial, and semantic networks. Convert almost any real-world data into a complex network--such as recommendations on co-using cosmetic products, muddy hedge fund connections, and online friendships. Analyze and visualize the network, and make business decisions based on your analysis. If you're a curious Python programmer, a data scientist, or a CNA specialist interested in mechanizing mundane tasks, you'll increase your productivity exponentially"-- Amazon.com.

Skill level [for] this book: Beginner [to intermediate].

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