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.
92% of authors who answered a survey reported that they would definitely publish or probably publish in the journal again- Editor-in-chief
-
- Reda Alhajj
- Publishing model
- Hybrid. Open Choice – What is this?
- Speed
- Submission to first decision: 97 days
- Usage
- Downloads: 74,687 (2018)
Articles
Subscribe
- Subscription
- $99.00
- Note this is only the net price. Taxes will be calculated during checkout.
- Immediate online access
- Full Journal access includes all articles
- Downloadable in PDF
- Subscription expires 12/31/2019
Advertisement
About this journal
- Electronic ISSN
- 1869-5469
- Print ISSN
- 1869-5450
- Abstracted and indexed in
-
- ACM Digital Library
- DBLP
- EBSCO Discovery Service
- EI Compendex
- Emerging Sources Citation Index
- Google Scholar
- INSPEC
- Institute of Scientific and Technical Information of China
- Japanese Science and Technology Agency (JST)
- Naver
- OCLC WorldCat Discovery Service
- ProQuest Advanced Technologies & Aerospace Database
- ProQuest Central
- ProQuest SciTech Premium Collection
- ProQuest Technology Collection
- ProQuest-ExLibris Primo
- ProQuest-ExLibris Summon
- SCImago
- SCOPUS
- WTI Frankfurt eG
- Copyright information
-
© Springer-Verlag GmbH Austria, part of Springer Nature
