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Mar 01 2013

Free Selected Articles from Social Network Analysis and Mining

Social Network Analysis and Mining (SNAM) is a multidisciplinary journal serving researchers and practitioners in academia and industry. It is the main venue for a wide range of researchers and readers from computer science, network science, social sciences, mathematical sciences, medical and biological sciences, financial, management and political sciences. We solicit experimental and theoretical work on social network analysis and mining using a wide range of techniques from social sciences, mathematics, statistics, physics, network science and computer science.

Read, download and save these articles online. They are available online for free until April 15, 2013:

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[Source: SpringerLink]

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Feb 27 2012

Free Selected Articles from Social Network Analysis and Mining

Social Network Analysis and Mining (SNAM) is intended to be a multidisciplinary journal to serve both academia and industry as a main venue for a wide range of researchers and readers from computer science, social sciences, mathematical sciences, medical and biological sciences. The main areas covered by SNAM include: (1) data mining advances on the discovery and analysis of communities, personalization for solitary activities (like search) and social activities (like discovery of potential friends), the analysis of user behavior in open forums (like conventional sites, blogs and forums) and in commercial platforms (like e-auctions), and the associated security and privacy-preservation challenges; (2) social network modeling, construction of scalable, customizable social network infrastructure, identification and discovery of dynamics, growth, and evolution patterns using machine learning approaches or multi-agent based simulation.

  1. Enjoy Free Access to the latest Online First Articles until March 31, 2012:
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  3. While some articles are not yet published in print, they are already available via Online First.

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  5. You may click here to view the most downloaded articles which are downloaded live and in real-time from Social Network Analysis and Mining.

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