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IEEE Transactions on Computational Social Systems | 2024 Impact Factor:4.9 | Cite Score:9.2 | Q1

IEEE Transactions on Computational Social Systems Journal With Cite Score

Impact Factor and Journal Rank of IEEE Transactions on Computational Social Systems

  • About: The IEEE Transactions on Computational Social Systems Journal is a peer-reviewed publication dedicated to the study of social systems through quantitative and computational methods. The journal covers a wide range of topics including modeling, simulation, analysis, and understanding of social systems. These systems encompass man-man, man-machine, and machine-machine organizations, adversarial situations, as well as social media structures and their dynamics. It serves as a platform for scholars, researchers, and practitioners to publish original research articles, reviews, and case studies that advance the field of computational social systems.
  • Objective: The primary objective of the IEEE Transactions on Computational Social Systems Journal is to promote research and innovation in the computational analysis and modeling of social systems. The journal aims to explore theories, methodologies, algorithms, and applications that enhance the understanding of social dynamics and structures. By publishing high-quality research, the journal seeks to address the challenges and opportunities in analyzing and modeling social interactions and behaviors using computational techniques.
  • Interdisciplinary Focus: The IEEE Transactions on Computational Social Systems Journal adopts an interdisciplinary approach, welcoming contributions from various fields related to computational social systems, including but not limited to, Social Network Dynamics, Social Intelligence and Cognition, Social Systems Design and Architectures, Socio-Cultural Modeling and Representation, Computational Behavior Modeling, Simulation of Social Systems, Quantitative Analysis of Social Phenomena, Machine Learning in Social Systems, Human-Computer Interaction in Social Contexts, Adversarial and Cooperative Social Structures. This interdisciplinary perspective fosters collaboration and innovation, leading to the development of advanced computational tools and models that address real-world social challenges in diverse applications.
  • Global Reach and Impact: With a broad international readership and authorship, the IEEE Transactions on Computational Social Systems Journal has a global reach and impact. Its publications contribute to the dissemination of knowledge and advancements in computational social systems worldwide. The journal content influences both academic research and practical applications, driving progress in areas such as social media analysis, policy-making, human-machine collaboration, and sociocultural integration.
  • High Standards and Rigorous Review: Maintaining high academic standards, the IEEE Transactions on Computational Social Systems Journal conducts a rigorous peer-review process. Each submitted manuscript undergoes thorough evaluation by experts in the field to ensure the quality, originality, and scientific rigor of the research. This stringent review process upholds the integrity and reputation of the journal, ensuring that only high-quality and impactful research is published.
  • Significance: The IEEE Transactions on Computational Social Systems Journal plays a significant role in advancing research and practice in the field of computational social systems. By providing a platform for the publication of cutting-edge research findings, the journal contributes to the growth of knowledge and innovation in the analysis and modeling of social systems. It serves as an essential resource for researchers, practitioners, educators, and students interested in understanding and leveraging computational techniques to study and improve social interactions and structures.

  • Editor-in-Chief:  Bin Hu

  • Scope: It provides a platform for researchers, practitioners, and scholars to present their latest research and methodologies. The journal covers a broad spectrum of topics related to social systems, including man-man, man-machine, and machine-machine organizations, adversarial situations, social media structures, and their dynamics. Here is an overview of its key focus areas and scope:
  • 1. Social Systems Modeling and Simulation:
    Research on the development and application of computational models to simulate and analyze social systems.
    Advancements in agent-based modeling, system dynamics, and discrete-event simulation of social processes.
  • 2. Social Network Dynamics:
    Exploration of the structure and dynamics of social networks, including the formation, evolution, and influence of social connections.
    Research on network analysis, community detection, and information diffusion in social networks.
  • 3. Social Intelligence and Cognition:
    Advancements in the study of social intelligence and cognitive processes in social systems.
    Research on collective intelligence, decision-making, and the cognitive aspects of social interactions.
  • 4. Social Systems Design and Architectures:
    Exploration of the design and architecture of social systems, including the creation of socio-technical systems and human-centered designs.
    Research on system design principles, frameworks, and methodologies for building effective social systems.
  • 5. Socio-Cultural Modeling and Representation:
    Advancements in the modeling and representation of socio-cultural factors in computational social systems.
    Research on cultural dynamics, belief systems, and the impact of socio-cultural variables on social behavior.
  • 6. Computational Behavior Modeling:
    Exploration of computational techniques for modeling individual and group behaviors in social systems.
    Research on behavior prediction, behavior change modeling, and the influence of social factors on behavior.
  • 7. Social Media Structures and Dynamics:
    Advancements in the analysis of social media platforms, including the study of user interactions, content dissemination, and emergent phenomena.
    Research on social media analytics, sentiment analysis, and the impact of social media on public opinion.
  • 8. Man-Man, Man-Machine, and Machine-Machine Organizations:
    Exploration of the interactions and dynamics within and between human and machine entities in organizational settings.
    Research on collaborative systems, human-computer interaction, and the integration of artificial intelligence in social organizations.
  • 9. Adversarial Situations in Social Systems:
    Advancements in the study of adversarial interactions and conflict dynamics in social systems.
    Research on conflict modeling, negotiation, and strategies for managing and resolving adversarial situations.
  • 10. Applications of Computational Social Systems:
    Exploration of practical applications of computational social systems in various domains such as politics, economics, healthcare, and public policy.
    Research on case studies, real-world implementations, and the impact of computational social systems on society.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  2329924X

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus, Science Citation Index Expanded

  • Imapct Factor 2024:  4.9

  • Subject Area and Category:   Computer Science , Human-Computer Interaction , Mathematics , Modeling and Simulation , Social Sciences , Social Sciences (miscellaneous)

  • Publication Frequency:  

  • H Index:  68

  • Best Quartile:

    Q1:  Human-Computer Interaction

    Q2:  

    Q3:  

    Q4:  

  • Cite Score:  9.2

  • SNIP:  1.942

  • Journal Rank(SJR):  1.257