This journal publishes research on the analysis and application of network science. Articles explore the structure, dynamics, and robustness of various types of networks, including social, financial, and communication networks. The research often involves developing novel methods for network analysis, such as graph neural networks, community detection algorithms, and centrality measures, and applying them to real-world datasets to understand complex systems and solve practical problems.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
MultidisciplinaryQ1
Computational MathematicsQ3
Computer Networks and CommunicationsQ3
Subject Classification
Web of Science Categories
Computer Science, Theory & MethodsMultidisciplinary Sciences
Scopus Categories
Computer Networks and CommunicationsMultidisciplinaryComputational Mathematics
Research Topics (OpenAlex)
Complex Network Analysis TechniquesOpinion Dynamics and Social InfluenceAdvanced Graph Neural NetworksBioinformatics and Genomic NetworksHuman Mobility and Location-Based AnalysisComplex Systems and Time Series AnalysisMental Health Research TopicsSocial Media and PoliticsCOVID-19 epidemiological studiesData Visualization and Analytics