Analyzing Social Media Networks with NodeXL 2nd Ed (Morgan Kaufmann)
Friday, 19 July 2019

Subtitled Insights from a Connected World, this book provides readers with a thorough, practical and updated guide to NodeXL, the open-source social network analysis (SNA) plug-in for use with Excel. Authors Derek L. Hansen, Ben Shneiderman, Marc Smith and Dr. Itai Himelboim analyze social media, provide a NodeXL tutorial, and present network analysis case studies, all of which are revised to reflect the latest developments.

<ASIN:012817756X>

Sections cover history and concepts, mapping and modeling, the detailed operation of NodeXL, and case studies, including e-mail, Twitter, Facebook, Flickr and YouTube. In addition, there are descriptions of each system and types of analysis for identifying people, documents, groups and events.

Authors: Derek L. Hansen, Ben Shneiderman, Marc Smith and Dr. Itai Himelboim
Publisher: Morgan Kaufmann
Date: July 2019
Pages: 248
ISBN: 978-0128177563
Print: 012817756X
Kindle: B07RNWF5P7
Audience: Data Scientists
Level: Intermediate
Category: Data Science

 

  • Walks users through NodeXL while also explaining the theory and development behind each step
  • Demonstrates how visual analytics research can be applied to SNA tools for the mass market
  • Includes updated case studies from researchers who use NodeXL on popular networks like email, Facebook, Twitter, and Instagram
  • Includes downloadable companion materials and online resources

 

 

For recommendations of data mining books see Reading Your Way Into Big Data in our Programmer's Bookshelf section.

 

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Query Store for SQL Server 2019 (Apress)

Author: Tracy Boggiano & Grant Fritchey
Publisher: Apress
Pages: 234
ISBN: 978-1484250037
Print: 1484250036
Kindle: B07YNL3X4X
Audience: SQL Server DBAs and Devs
Rating: 4
Reviewer: Ian Stirk

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Author: Dmitri Korotkevitch
Publisher: O'Reilly
Pages: 497
ISBN: 978-1098101923
Print:1098101928
Kindle: B0B197NYD7
Audience: DBAs & database devs
Rating: 5
Reviewer: Ian Stirk

This book aims to improve the performance of your SQL Servers, how does it fare?


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