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.
Identifying buzz in social media: a hybrid approach using artificial bee colony and k-nearest neighbors for outlier detection
Improving detection of untrustworthy online reviews using ensemble learners combined with feature selection
- Journal Title
- Social Network Analysis and Mining
- Volume 1 / 2011 - Volume 7 / 2017
- Print ISSN
- Online ISSN
- Springer Vienna
- Additional Links
- Industry Sectors
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