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.
This is a transformative journal, you may have access to funding.
- Editor-in-Chief
-
- Reda Alhajj
- Impact factor
- 2.8 (2022)
- 5 year impact factor
- 2.7 (2022)
- Submission to first decision (median)
- 7 days
- Downloads
- 524,637 (2023)
Latest articles
Journal updates
-
ASONAM 2024 Journal Track
Submission Deadline: May 31, 2024 -
CfP: Role of Social Network Analysis in Human Behaviour and Emotion Analysis for Business Intelligence
Submission Deadline: October 10, 2023
Guest Editors: Dr. Jungpil Shin, Dr. Md. Al Mehedi Hasan, Dr. Yong Seok Hwang
-
Call for Papers: Pervasive Health: Social Media Analytics and Sensing for Healthcare and well-being
Artificial intelligence (AI) is changing the landscape of healthcare and modern personalized precision medicine. With the increasing availability of healthcare data and rapid progress of machine learning algorithms, AI and big data analytics are enabling unprecedented analysis of healthcare. Social media networks, when combined with Big Data applications and health policymaking, enable the development of smart public health applications that will result in high-quality health delivery and reduced costs.
-
Special Issue on Collective intelligence on Web and Social Media
Deadline for Submission: 28 February, 2023
Journal information
- Electronic ISSN
- 1869-5469
- Abstracted and indexed in
-
- ACM Digital Library
- ANVUR
- BFI List
- Baidu
- CLOCKSS
- CNKI
- CNPIEC
- DBLP
- Dimensions
- EBSCO
- EI Compendex
- Emerging Sources Citation Index
- Google Scholar
- INSPEC
- Japanese Science and Technology Agency (JST)
- Naver
- Norwegian Register for Scientific Journals and Series
- OCLC WorldCat Discovery Service
- Portico
- ProQuest
- SCImago
- SCOPUS
- TD Net Discovery Service
- UGC-CARE List (India)
- Wanfang
- Copyright information