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.
Journal Home: Journal Homepage
Editor-in-Chief: Reda Alhajj
scope: Anomaly and outlier detection in social networks Behavior and identity detection and monitoring Community discovery in large-scale and complex social networks Contextual social network analysis Data models and query models for social networks and social media Data preparation for social network analysis and mining Data protection inside communities
Print ISSN: 18695450
Electronic ISSN: 18695469
Abstracting and Indexing: Scopus
Imapct Factor :
Subject Area and Category: Computer Science Computer Science Applications Human-Computer Interaction Information Systems Engineering Media Technology Social Sciences Communication
Publication Frequency:
H Index: 38
Q1: Media Technology
Q2:
Q3:
Q4:
Cite Score: 4.8
SNIP: 1.248
Journal Rank(SJR): 0.682
Latest Articles: Latest Articles in Social Network Analysis and Mining
Guidelines for Authors: Social Network Analysis and Mining Author Guidelines
Paper Submissions: Paper Submissions in Social Network Analysis and Mining
Publisher: Springer-Verlag Wien
Country: Austria
