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Springer Social Network Data Analytics - Research Volume

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Description

Social Network Data Analytics by Springer provides an in-depth look at the rapid advances in social network analysis. As internet user interactions increase, social networks are increasingly organized as graphs, producing massive data streams that require sophisticated mining techniques. This edited volume brings together contributions from prominent researchers to explore the essential niche of social network analytics. The text covers a wide selection of topics regarding social network data mining, including structural properties. It is an essential resource for those studying how data on social networks is mined for various purposes in the modern digital landscape.

Key Features

This Springer publication explores the growing field of social network analysis and internet user interaction trends.

The volume examines social networks organized as graphs and the processing of massive data streams.

Content includes diverse topics on social network data mining contributed by prominent researchers.

The book addresses specific research areas such as structural properties within social network data mining.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
17 March 2011
Listed Since
29 November 2010

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No barcode data available

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