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Social Network Analytics: Computational Research Methods and Techniques

by Nilanjan Dey

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A technical guide to analyzing relationships and flows in networks

$116.67 USD
$116.67 USD $116.67 USD

Paperback New English

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AlbakiReads Editorial

A technical guide to analyzing relationships and flows in networks

Centered on the computational side of social network analysis, this volume maps out the concepts and methods used to examine connections among people, groups, organizations, computers, and URLs. Its coverage spans network theory, mathematical modeling, visualization, multidimensional scaling, and big-data analysis, placing these tools alongside applications in scientific, business, and industrial contexts. The book frames social networks as data-rich systems whose relationships and flows can be measured and studied, making it a subject-focused resource for understanding the analytical toolkit behind networked data.

Good fit for readers who enjoy

  • Students and researchers studying social network analysis
  • Data and computing professionals working with networked data
  • Readers interested in technical applications of network theory and visualization

Themes

Social network analysisNetwork theoryMathematical modelingData visualizationBig-data analytics

Based on publisher information and book metadata.

Book overview

Social Network Analytics: Computational Research Methods and Techniques focuses on various technical concepts and aspects of social network analysis. The book features the latest developments and findings in this emerging area of research. In addition, it includes a variety of applications from several domains, such as scientific research, and the business and industrial sectors. The technical aspects of analysis are covered in detail, including visualizing and modeling, network theory, mathematical models, the big data analytics of social networks, multidimensional scaling, and more.

As analyzing social network data is rapidly gaining interest in the scientific research community because of the importance of the information and insights that can be culled from the wealth of data inherent in the various aspects of the network, this book provides insights on measuring the relationships and flows between people, groups, organizations, computers, URLs, and more.

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