Social networking : mining, visualization, and security / Mrutyunjaya Panda, Satchidananda Dehuri, Gi-nam Wang, editors.
"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 boo...
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| Other Authors: | , , |
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| Format: | Ebook |
| Language: | English |
| Published: |
Cham ; New York :
Springer,
[2014]
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| Series: | Intelligent systems reference library ;
volume 65. |
| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | "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."--Publisher's website. |
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| Physical Description: | 1 online resource. |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 3319051644 9783319051642 |