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

Journal information

Editor-in-Chief
  • Reda Alhajj
Publishing model
Hybrid. Learn about publishing OA with us

Journal metrics

87 days
Submission to first decision
210 days
Submission to acceptance
100,352 (2019)
Downloads

Latest issue

Volume 10

Issue 1, December 2020

Latest articles

This journal has 34 open access articles
View all articles

Journal updates

  • Call for Papers for Special Issue on Tackling COVID-19 Infodemic

    In this special issue, we provide an interdisciplinary forum for researchers and practitioners to combat the COVID-19 infodemic. We expect novel research to study the understanding, detection, mitigation, and measurement of the COVID-19 infodemic and potential future outbreaks. To facilitate further research in COVID-19 infodemic, this special issue  welcomes interdisciplinary research articles, new open access datasets, repositories, and benchmarks, broadening research on crisis informatics and its development. 

    New Content Item
View all updates

For authors

Submission guidelines Ethics & disclosures Fees and funding Contact the journal Submit manuscript

Explore

Volumes and issues Collections Sign up for alerts

Subscribe

eJournal
$99.00
Note this is only the net price. Taxes will be calculated during checkout.
  • Immediate online access with complete access to all articles
  • Downloadable in PDF format
  • Subscription expires 12/31/2020
Learn about institutional subscriptions

About this journal

Electronic ISSN
1869-5469
Print ISSN
1869-5450
Abstracted and indexed in
  1. ACM Digital Library
  2. CNKI
  3. DBLP
  4. Dimensions
  5. EBSCO Discovery Service
  6. EI Compendex
  7. Emerging Sources Citation Index
  8. Google Scholar
  9. INSPEC
  10. Institute of Scientific and Technical Information of China
  11. Japanese Science and Technology Agency (JST)
  12. Naver
  13. OCLC WorldCat Discovery Service
  14. ProQuest Advanced Technologies & Aerospace Database
  15. ProQuest Central
  16. ProQuest SciTech Premium Collection
  17. ProQuest Technology Collection
  18. ProQuest-ExLibris Primo
  19. ProQuest-ExLibris Summon
  20. SCImago
  21. SCOPUS
  22. TD Net Discovery Service
  23. UGC-CARE List (India)
  24. WTI Frankfurt eG
Copyright information

Rights and permissions

Springer policies

© Springer-Verlag GmbH Austria, part of Springer Nature