Applied Network Science Journal - Springer | 2024 Impact Factor: 1.5 | Cite Score:3.3 | Q1

Cite Score and Journal Rank of Applied Network Science

• About: The Applied Network Science Journal is a peer-reviewed academic journal focused on the application of network science across various domains. It provides a platform for research that bridges theoretical network science with practical applications, addressing real-world problems through network-based approaches.
• Objective:
  The primary objective of the Applied Network Science Journal is to advance the application of network science methodologies to practical issues in diverse fields. The journal aims to foster interdisciplinary research and facilitate the translation of network science theory into actionable insights and solutions for complex problems.
• Topics Covered:
  The journal covers a wide range of topics, including: Network analysis and visualization Social network analysis Biological and ecological networks Communication and computer networks Financial and economic networks Transportation and logistics networks Infrastructure and smart city networks Health and epidemiological networks Network dynamics and evolution Network-based algorithms and models
• Impact:
  The Applied Network Science Journal has a significant impact by providing a dedicated platform for research that applies network science to solve practical problems. Its articles contribute to the understanding of how network-based approaches can address challenges and improve systems in various sectors.
• Significance:
  The journal is significant in promoting the practical application of network science across multiple domains. By offering a venue for high-quality research and case studies, it supports the development of innovative solutions and informs practice in areas such as engineering, healthcare, finance, and social sciences. The journal plays a crucial role in advancing the field of network science by demonstrating its relevance and utility in addressing real-world issues.

• Journal Home:  Journal Homepage

• Editor-in-Chief:  Prof. Sabrina Gaito

• Scope: The Applied Network Science journal focuses on the practical applications and theoretical advancements in the field of network science. The journal covers a wide range of topics related to the study of networks and their applications in various domains. Key areas include:
• 1. Network Modeling and Analysis
  Research on the development and application of network models to represent real-world systems
• Studies on network structure, dynamics, and topology
• Development of algorithms and methodologies for analyzing complex networks
• 2. Social Network Analysis
  Research on the structure and dynamics of social networks
• Studies on social influence, community detection, and information diffusion
• Development of tools and techniques for analyzing social network data
• 3. Biological Networks
  Research on networks in biological systems, including protein-protein interaction networks, gene regulatory networks, and metabolic networks
• Studies on the role of network structures in biological functions and diseases
• Development of methods for modeling and analyzing biological networks
• 4. Technological Networks
  Research on networks in technological systems, such as computer networks, communication networks, and sensor networks
• Studies on network performance, reliability, and security
• Development of techniques for optimizing and managing technological networks
• 5. Network Optimization and Control
  Research on optimization techniques for improving network performance and efficiency
• Studies on control strategies for managing network dynamics and ensuring stability
• Development of algorithms for network design, routing, and resource allocation
• 6. Network Data Mining and Machine Learning
  Research on data mining techniques for extracting insights from network data
• Studies on applying machine learning algorithms to network analysis and prediction
• Development of methods for integrating network data with machine learning models
• 7. Network Visualization and Interpretation
  Research on visualization techniques for representing complex networks
• Studies on methods for interpreting and understanding network structures and patterns
• Development of tools for interactive network visualization and analysis
• 8. Network Applications in Social Sciences
  Research on applying network science to social science problems, including organizational behavior, social dynamics, and human interactions
• Studies on network-based approaches to understanding social phenomena
• Development of applications and tools for social network analysis in various contexts
• 9. Network Applications in Business and Economics
  Research on the application of network science to business and economic systems
• Studies on network effects, market dynamics, and supply chain management
• Development of models and tools for optimizing business and economic networks
• 10. Network Security and Privacy
  Research on security and privacy issues in networked systems
• Studies on vulnerabilities, threats, and mitigation strategies
• Development of techniques for ensuring the security and privacy of networked data and communications
• Latest Research Topics for PhD in Computer Science

• Print ISSN:  2364-8228

  Electronic ISSN:  

• Abstracting and Indexing:  Scopus

• Imapct Factor 2024:  1.5

• Subject Area and Category:   Computer Science, Computer Networks and Communications, Mathematics, Computational Mathematics, Multidisciplinary, Multidisciplinary

• Publication Frequency:  

• H Index:  32

• Best Quartile:

  Q1:  Multidisciplinary

  Q2:  

  Q3:  

  Q4:  

• Cite Score:  3.3

• SNIP:  0.848

• Journal Rank(SJR):  0.430

• Latest Articles:   Latest Articles in Applied Network Science

• Guidelines for Authors: Applied Network Science Author Guidelines

• Paper Submissions: Paper Submissions in Applied Network Science

• Publisher:  Springer Open

  Country:  United Kingdom

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