Analyzing Social Media Networks with NodeXL

Insights from a Connected World

Nonfiction, Computers, Advanced Computing, Computer Science, General Computing
Cover of the book Analyzing Social Media Networks with NodeXL by Derek Hansen, Ben Shneiderman, Marc A. Smith, Elsevier Science
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Author: Derek Hansen, Ben Shneiderman, Marc A. Smith ISBN: 9780123822307
Publisher: Elsevier Science Publication: September 14, 2010
Imprint: Morgan Kaufmann Language: English
Author: Derek Hansen, Ben Shneiderman, Marc A. Smith
ISBN: 9780123822307
Publisher: Elsevier Science
Publication: September 14, 2010
Imprint: Morgan Kaufmann
Language: English

Businesses, entrepreneurs, individuals, and government agencies alike are looking to social network analysis (SNA) tools for insight into trends, connections, and fluctuations in social media. Microsoft’s NodeXL is a free, open-source SNA plug-in for use with Excel. It provides instant graphical representation of relationships of complex networked data. But it goes further than other SNA tools -- NodeXL was developed by a multidisciplinary team of experts that bring together information studies, computer science, sociology, human-computer interaction, and over 20 years of visual analytic theory and information visualization into a simple tool anyone can use. This makes NodeXL of interest not only to end-users but also to researchers and students studying visual and network analytics and their application in the real world.

In Analyzing Social Media Networks with NodeXL, members of the NodeXL development team up to provide readers with a thorough and practical guide for using the tool while also explaining the development behind each feature. Blending the theoretical with the practical, this book applies specific SNA instructions directly to NodeXL, but the theory behind the implementation can be applied to any SNA.

To learn more about Analyzing Social Media Networks and NodeXL, visit the companion site at www.mkp.com/nodexl

*Walks you through NodeXL, while explaining the theory and development behind each step, providing takeaways that can apply to any SNA

*Demonstrates how visual analytics research can be applied to SNA tools for the mass market

*Includes case studies from researchers who use NodeXL on popular networks like email, Facebook, Twitter, and wikis

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Businesses, entrepreneurs, individuals, and government agencies alike are looking to social network analysis (SNA) tools for insight into trends, connections, and fluctuations in social media. Microsoft’s NodeXL is a free, open-source SNA plug-in for use with Excel. It provides instant graphical representation of relationships of complex networked data. But it goes further than other SNA tools -- NodeXL was developed by a multidisciplinary team of experts that bring together information studies, computer science, sociology, human-computer interaction, and over 20 years of visual analytic theory and information visualization into a simple tool anyone can use. This makes NodeXL of interest not only to end-users but also to researchers and students studying visual and network analytics and their application in the real world.

In Analyzing Social Media Networks with NodeXL, members of the NodeXL development team up to provide readers with a thorough and practical guide for using the tool while also explaining the development behind each feature. Blending the theoretical with the practical, this book applies specific SNA instructions directly to NodeXL, but the theory behind the implementation can be applied to any SNA.

To learn more about Analyzing Social Media Networks and NodeXL, visit the companion site at www.mkp.com/nodexl

*Walks you through NodeXL, while explaining the theory and development behind each step, providing takeaways that can apply to any SNA

*Demonstrates how visual analytics research can be applied to SNA tools for the mass market

*Includes case studies from researchers who use NodeXL on popular networks like email, Facebook, Twitter, and wikis

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