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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