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:

• Social networks and online environments: when science and practice co-evolve - Devan Rosen, George A. Barnett, Jang Hyun Kim
• Social network analysis: developments, advances, and prospects - John Scott
• Supervised methods for multi-relational link prediction - Darcy Davis, Ryan Lichtenwalter, Nitesh V. Chawla
• Trends in science networks: understanding structures and statistics of scientific networks - Miray Kas, Kathleen M. Carley, L. Richard Carley
• Modeling blogger influence in a community - Nitin Agarwal, Huan Liu, Lei Tang, Philip S. Yu