International Journal of Social Network Mining

Editor in Chief
Prof. Zbigniew W. Ras
ISSN online
1757-8493
ISSN print
1757-8485
2 issues per year

Subscription price

In recent years, social network research has advanced significantly with the rapid development of online social websites and instant messaging systems. People increasingly perceive the Web as a social medium that fosters interaction among people, sharing of experiences and knowledge, group activities, community formation and evolution. IJSNM addresses important aspects of interest to practitioners and researchers with a specific focus on the emerging trends and industry needs associated with using data mining techniques for social networking analysis.