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Social Network Analysis and Mining

Publishing model:
Open access

Overview

Social Network Analysis and Mining is a multidisciplinary journal focusing on theoretical and experimental work related to social network analysis and mining.

  • Serves a wide range of researchers from computer science, network science, social sciences, mathematical sciences, medical, biological, financial, management, and political sciences.
  • 92% of authors who answered a survey reported they would definitely or probably publish in the journal again.
  • It covers a broad spectrum of topics from social sciences, mathematics, statistics, physics, network science, and computer science.
  • Aims to create a platform that encourages the integration of varied techniques in the analysis and mining of social networks.

 

Editor-in-Chief
  • Reda Alhajj

Journal metrics

Journal Impact Factor
2.3 (2023)
5-year Journal Impact Factor
2.5 (2023)
Submission to first decision (median)
6 days
Downloads
659.8k (2024)

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Journal information

Electronic ISSN
1869-5469
Abstracted and indexed in
  1. ACM Digital Library
  2. ANVUR
  3. BFI List
  4. Baidu
  5. CLOCKSS
  6. CNKI
  7. CNPIEC
  8. DBLP
  9. Dimensions
  10. EBSCO
  11. EI Compendex
  12. Emerging Sources Citation Index
  13. Google Scholar
  14. INSPEC
  15. Japanese Science and Technology Agency (JST)
  16. Naver
  17. Norwegian Register for Scientific Journals and Series
  18. OCLC WorldCat Discovery Service
  19. Portico
  20. ProQuest
  21. SCImago
  22. SCOPUS
  23. TD Net Discovery Service
  24. Wanfang
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© Springer-Verlag GmbH Austria, part of Springer Nature

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