Social Network Analysis and Mining - Springer | 2024 Impact Factor: 2.8 | Cite Score:6.4 | Q1

Cite Score and Journal Rank of Social Network Analysis and Mining

• About: The Social Network Analysis and Mining journal is a peer-reviewed publication focusing on research related to the analysis, modeling, and mining of social networks. It serves as a platform for researchers, practitioners, and data scientists to publish original research articles, comprehensive reviews, and case studies that explore the structures, dynamics, and applications of social networks.
• Objective:
  The primary objective of the journal is to advance the understanding and application of social network analysis and mining techniques. It aims to facilitate the exchange of knowledge and ideas among experts working on methodologies, technologies, and applications related to the study of social networks and their impact on various domains.
• Topics Covered:
  The Social Network Analysis and Mining journal covers a wide range of topics including: Social network modeling and visualization Algorithms for network analysis and mining Community detection and network clustering Influence and information propagation in networks Applications of social network analysis in marketing, sociology, and public health Privacy and security issues related to social networks
• Impact:
  The journal significantly impacts both academia and industry by promoting research and development in social network analysis and mining. Its publications contribute to advancements in understanding network structures and dynamics, enabling more effective analysis and application of social network data in various fields such as business, healthcare, and social science.
• Significance:
  The Social Network Analysis and Mining journal is significant in advancing the field by promoting interdisciplinary research and practical applications. By publishing high-quality, peer-reviewed articles, the journal supports the development and adoption of innovative techniques and technologies for analyzing and mining social network data, enhancing insights into social interactions and network behavior.

• Journal Home:  Journal Homepage

• Editor-in-Chief:  Reda Alhajj

• Scope: The Social Network Analysis and Mining journal focuses on the study and application of social network analysis (SNA) and mining techniques to understand and leverage complex social structures. Here are the key areas typically covered in this journal:
• 1. Social Network Analysis (SNA) Theory and Methods
  Fundamental principles and theories of social network analysis
  Network models and metrics for analyzing social relationships
  Algorithms for network construction and analysis
• 2. Network Visualization
  Techniques and tools for visualizing social networks
  Interactive and dynamic visualization methods
  Case studies demonstrating effective network visualization
• 3. Network Mining and Pattern Detection
  Methods for discovering patterns and structures in social networks
  Data mining techniques applied to social network data
  Identification of communities, clusters, and influential nodes
• 4. Social Media Analytics
  Analysis of social media networks and interactions
  Techniques for extracting insights from social media data
  Impact of social media on network structures and behaviors
• 5. Network Dynamics and Evolution
  Study of how social networks change over time
  Analysis of network growth, decay, and transformation
  Modeling and prediction of network evolution
• 6. Applications of Social Network Analysis
  Applications in various domains such as sociology, marketing, healthcare, and cybersecurity
  Case studies of SNA applications in real-world scenarios
  Impact of SNA on decision-making and policy formulation
• 7. Privacy and Ethical Issues
  Privacy concerns and ethical considerations in social network analysis
  Methods for ensuring data privacy and security
  Ethical implications of network data collection and usage
• 8. Computational Techniques and Tools
  Computational methods and tools for social network analysis
  Software and platforms for network analysis and mining
  Advances in computational algorithms and data processing
• 9. Integration with Other Fields
  Interdisciplinary approaches combining SNA with other fields such as artificial intelligence, machine learning, and computational social science
  Integration of SNA with other analytical techniques and methods
  Collaborative research bridging different domains
• 10. Theoretical and Empirical Research
  Theoretical advancements in social network analysis
  Empirical studies and research findings related to social network mining
  Methodological innovations and empirical validation
• 11. Social Networks and Innovation
  Role of social networks in fostering innovation and knowledge sharing
  Analysis of innovation networks and collaborative platforms
  Impact of social networks on technology transfer and adoption
• Latest Research Topics for PhD in Social Networks

• Print ISSN:  18695450

  Electronic ISSN:  18695469

• Abstracting and Indexing:  Scopus

• Imapct Factor 2024:  2.8

• Subject Area and Category:   Computer Science, Computer Science Applications, Human-Computer Interaction, Information Systems, Engineering, Media Technology, Social Sciences, Communication

• Publication Frequency:  

• H Index:  54

• Best Quartile:

  Q1:  Communication

  Q2:  

  Q3:  

  Q4:  

• Cite Score:  6.4

• SNIP:  1.415

• Journal Rank(SJR):  0.624

• 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

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