Social Networking - Mining, Visualization, and Security (Hardcover, 2014)


With the proliferation of social media and on-line communities in networked world a large gamut of data has been collected and stored in databases. The rate at which such data is stored is growing at a phenomenal rate and pushing the classical methods of data analysis to their limits. This book presents an integrated framework of recent empirical and theoretical research on social network analysis based on a wide range of techniques from various disciplines like data mining, social sciences, mathematics, statistics, physics, network science, machine learning with visualization techniques and security. The book illustrates the potential of multi-disciplinary techniques in various real life problems and intends to motivate researchers in social network analysis to design more effective tools by integrating swarm intelligence and data mining.


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Product Description

With the proliferation of social media and on-line communities in networked world a large gamut of data has been collected and stored in databases. The rate at which such data is stored is growing at a phenomenal rate and pushing the classical methods of data analysis to their limits. This book presents an integrated framework of recent empirical and theoretical research on social network analysis based on a wide range of techniques from various disciplines like data mining, social sciences, mathematics, statistics, physics, network science, machine learning with visualization techniques and security. The book illustrates the potential of multi-disciplinary techniques in various real life problems and intends to motivate researchers in social network analysis to design more effective tools by integrating swarm intelligence and data mining.

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Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Series

Intelligent Systems Reference Library, 65

Release date

March 2014

Availability

Expected to ship within 12 - 17 working days

First published

2014

Editors

, ,

Dimensions

235 x 155 x 19mm (L x W x T)

Format

Hardcover

Pages

297

Edition

2014

ISBN-13

978-3-319-05163-5

Barcode

9783319051635

Categories

LSN

3-319-05163-6



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