Journal of Complex Networks
Scope & Guideline
Unraveling the Complexity of Mathematical Interactions
Introduction
Aims and Scopes
- Network Theory and Dynamics:
The journal explores the fundamental principles of network theory, including the study of network topology, dynamics, and evolution across various domains such as social, biological, and technological networks. - Centrality and Influence Measures:
Research on centrality measures, node influence, and their implications in networked systems is a core area. This includes the development of new algorithms and metrics to better understand the role of individual nodes within complex networks. - Community Detection and Structure:
A significant focus is placed on community detection methods, analyzing how nodes cluster within networks, and the implications of these structures for network behavior and dynamics. - Higher-Order Networks:
The journal places emphasis on higher-order interactions and the study of hypergraphs, which extends beyond traditional pairwise interactions to capture more complex relationships. - Applications in Real-World Systems:
Research is applied to real-world systems, including epidemiology, social media, and infrastructure networks, providing insights into network behavior and potential interventions. - Computational Methods and Models:
The use of advanced computational techniques and models, including agent-based modeling, machine learning, and statistical inference, is prevalent, allowing for robust analyses of complex systems.
Trending and Emerging
- Multilayer and Multiplex Networks:
There is an increasing interest in multilayer and multiplex networks, which reflect the interconnectedness of different types of relationships and layers within complex systems. - Temporal Dynamics and Evolution:
Research is increasingly focusing on the temporal aspects of networks, including how networks evolve over time and the dynamics of interactions within those networks. - Higher-Order Interactions:
The exploration of higher-order interactions, such as those represented in hypergraphs and simplicial complexes, is gaining traction, reflecting a deeper understanding of complex relationships. - Machine Learning and AI Applications:
The integration of machine learning and artificial intelligence techniques in network analysis is on the rise, showcasing new methodologies for predicting behaviors and identifying patterns. - Resilience and Robustness Studies:
Emerging research is concentrating on the resilience and robustness of networks against failures and attacks, highlighting the importance of understanding vulnerabilities in complex systems. - Interdisciplinary Approaches:
There is a growing trend towards interdisciplinary research that combines insights from sociology, biology, computer science, and economics to address complex problems within network frameworks.
Declining or Waning
- Traditional Graph Models:
Research focused exclusively on traditional or simplistic graph models is becoming less common. The trend is shifting towards more complex models that account for higher-order interactions and dynamics. - Basic Statistical Analysis:
There is a noticeable decline in papers that employ basic statistical approaches without integrating advanced computational methods or new theoretical frameworks. - Static Network Analysis:
Studies that analyze networks in a static context, ignoring temporal dynamics and evolution, are less frequently published. There is a growing recognition of the importance of considering time-varying aspects in network analysis. - Single-Domain Applications:
Research that is limited to single-domain applications, such as purely social networks without interdisciplinary connections, is seeing a decrease in favor of more integrative studies that span multiple domains. - Overly Simplistic Community Detection Algorithms:
The journal is moving away from simplistic community detection methodologies that do not consider complexities such as overlapping communities or dynamic changes in network structure.
Similar Journals
Network Neuroscience
Charting New Territories in Neuroscience and MathematicsNetwork Neuroscience is a premier open-access journal published by MIT Press, focusing on the interdisciplinary nexus of neuroscience, applied mathematics, artificial intelligence, and computer science. Since its inception in 2017, the journal has established itself as a leading outlet for innovative research and cutting-edge methodologies, ensuring disseminated knowledge is freely accessible to all. With an impressive Q1 ranking in multiple categories including Applied Mathematics, Artificial Intelligence, Computer Science Applications, and Neuroscience, it serves as a vital platform for scholars, professionals, and students to explore the intricate networks that underpin cognitive processes and brain function. The journal is committed to advancing the understanding of complex neural mechanisms through interdisciplinary approaches and remains a crucial resource for anyone engaged in the burgeoning fields of network science and neuroscience research.
International Journal of Wireless Information Networks
Leading the Charge in Wireless Information ResearchInternational Journal of Wireless Information Networks, published by Springer, is a premier outlet for scholarly research in the fields of wireless information and communication technologies. With an ISSN of 1068-9605 and an E-ISSN of 1572-8129, this journal has established itself as a significant contributor to the literature since its inception in 1994. As evaluated in 2023, it holds a commendable Q2 ranking in several categories, including Computer Networks and Communications, Electrical and Electronic Engineering, and Hardware and Architecture, reflecting its robust impact and relevance within the academic community. Furthermore, it is ranked within the top quartiles in Scopus, placing it in the 76th, 74th, and 73rd percentiles in relevant fields. While the journal does not currently offer open access options, it remains an essential resource for researchers, professionals, and students dedicated to advancing knowledge and innovation within wireless information networks. The authoritative content published within these pages positions the journal at the forefront of ongoing technological developments, making significant contributions to the field until at least 2024.
Network Science
Innovating the study of networks across disciplines.Network Science is a distinguished journal published by Cambridge University Press, dedicated to advancing our understanding of complex networks across various domains, including communication, sociology, and psychology. Since its inception in 2013, the journal has consistently aimed to provide a platform for groundbreaking research that explores the structure and dynamics of networks, thereby facilitating interdisciplinary collaboration and innovation. With an impressive ranking in the Q2 category for Communication and Sociology, and Q3 for Social Psychology, Network Science has carved out a significant niche within the academic community, reflected in its reputable metrics—ranking #112 out of 511 in Communication and #333 out of 1466 in Sociology and Political Science according to Scopus. The journal plays a pivotal role in shaping the landscape of network theory and analysis, making it an essential resource for researchers, practitioners, and students eager to delve into the intricate relationships that underpin social systems. Access to this journal fosters an environment of scholarly exchange and stimulates further research in the rapidly evolving field of network studies.
Computer Networks
Connecting Innovations in Computer NetworksComputer Networks, a prestigious journal published by Elsevier, stands at the forefront of the field of computer networking and communications. Established in 1978, this journal has consistently provided a robust platform for the dissemination of high-quality research, currently holding a Q1 ranking in its category as of 2023, specifically within the Computer Science - Computer Networks and Communications sector, placing it in the top 10% of journals in its field (ranked #38 out of 395). With a focus on innovative networking technologies and fundamental theories, Computer Networks showcases original research articles, comprehensive reviews, and significant advancements that drive the academic community and industry practices forward. Although it follows a non-open access model, it remains widely accessible through various academic databases, ensuring that professionals, researchers, and students can engage with its valuable content. The journal's commitment to excellence contributes to its high impact factor, solidifying its role as an essential resource for those aiming to stay at the cutting edge of networking research.
Ad Hoc Networks
Transforming Communication through Cutting-Edge ResearchAd Hoc Networks, published by Elsevier, is a leading journal in the fields of Computer Networks and Communications, Hardware and Architecture, and Software, with an impressive Q1 ranking in all three categories as of 2023. With an ISSN of 1570-8705 and an E-ISSN of 1570-8713, this journal offers a robust platform for disseminating cutting-edge research and advancements in network technologies, emphasizing the importance of efficient communication protocols and architectures in contemporary computing environments. Operating from the Netherlands, it has emerged as a pivotal resource for researchers and professionals seeking to explore novel methodologies, frameworks, and applications within the domain of ad hoc and wireless networks. The journal's high impact factor and Scopus rankings—44th in Computer Networks and Communications, 20th in Hardware and Architecture, and 53rd in Software—underscore its relevance and authority in the academic community. Ad Hoc Networks is committed to fostering a deeper understanding of the complexities and innovations in network design, making it an essential read for anyone invested in the future of communication technology.
Frontiers in Communications and Networks
Transforming Insights into Global ConnectivityFrontiers in Communications and Networks is a prominent open-access journal published by FRONTIERS MEDIA SA, established in 2020 and positioned in the heart of Switzerland. As an interdisciplinary platform, it focuses on advancing research related to computer networks, communications, and signal processing, providing a critical forum for innovative findings and developments in these rapidly evolving fields. With an impressive Q1 ranking in Computer Networks and Communications and a Q2 ranking in Signal Processing as of 2023, this journal is highly regarded among scholars and practitioners seeking to disseminate their work to a broad audience. By offering open-access options, it ensures that the research is widely available, fostering collaboration and knowledge sharing across the globe. Researchers, professionals, and students are encouraged to engage with the journal as it aims to encapsulate the burgeoning advancements shaping our digital communication landscape.
WIRELESS NETWORKS
Exploring the Future of Wireless ConnectivityWIRELESS NETWORKS is a prestigious journal published by Springer, focusing on cutting-edge research in the domains of wireless communication, computer networks, and information systems. Established in 1995 and set to converge its influential contributions until 2024, this journal has rapidly ascended to a Q2 category ranking in the fields of Computer Networks and Communications, Electrical and Electronic Engineering, and Information Systems, reflecting its significant role in advancing knowledge and innovation—ranked 75th, 151st, and 84th respectively in their fields by Scopus. Researchers and professionals alike value its contribution to the discourse on wireless technologies, making it a vital resource for professionals and students eager to stay abreast of the latest trends and findings. Although it does not offer open access, the insights gleaned from its articles are invaluable for tackling the challenges of modern communications and ensuring the efficient use of wireless networks.
Applied Network Science
Transforming network science with impactful, accessible research.Applied Network Science is a premier open access journal published by SpringerNature that has been a vital resource in the fields of computational mathematics and computer networks since its inception in 2016. With an impressive Q1 ranking in Multidisciplinary fields and Q2 rankings in both Computational Mathematics and Computer Networks and Communications, it distinguishes itself as a significant contributor to interdisciplinary research efforts. The journal fosters innovative methodologies and applications within network science, making it a crucial platform for researchers, professionals, and students alike. With an E-ISSN of 2364-8228 and a commendable standing in global rankings, it supports a broad audience through its commitment to open access, ensuring that groundbreaking research is readily available. Located in Switzerland, Applied Network Science continues to shape the landscape of network research and communication, making substantial impacts across various domains.
NETWORKS & SPATIAL ECONOMICS
Unraveling the Complexities of Economic NetworksNETWORKS & SPATIAL ECONOMICS, published by SPRINGER, stands at the forefront of research within the disciplines of artificial intelligence, computer networks, and software engineering. With an ISSN of 1566-113X and E-ISSN 1572-9427, this esteemed journal boasts an impressive impact factor and is recognized in the Q2 and Q3 quartiles in its respective categories for 2023. As a vital resource for researchers and professionals, it offers a dynamic platform for disseminating innovative findings that explore the intersections of spatial economics and network theory. The journal has evolved significantly since its inception in 2005, with its convergence period extending to 2024, showcasing its commitment to advancing scholarly discourse and providing access to critical advancements in the field. Aimed at academics, practitioners, and students alike, NETWORKS & SPATIAL ECONOMICS is essential for anyone seeking to deepen their understanding of how spatial frameworks and network dynamics influence economic systems.
Foundations and Trends in Communications and Information Theory
Illuminating the Path of Theoretical and Practical InnovationsFoundations and Trends in Communications and Information Theory, published by NOW PUBLISHERS INC, is a prestigious journal that has established itself as a leading platform in the fields of communications and information theory since its inception in 2004. With an impressive duration of publication extending to 2024, this journal captures the latest advancements and methodologies in applied mathematics, as well as computer networks and communications, currently ranking in the Q1 category in both domains for 2023. The journal's commitment to high-quality, peer-reviewed content is reflected in its significant impact factors, including a rank of #29 out of 635 in applied mathematics and #70 out of 395 in computer networks and communications on Scopus. By offering an in-depth look at theoretical underpinnings and practical applications, Foundations and Trends in Communications and Information Theory serves as an invaluable resource for researchers, professionals, and students alike, fostering innovation and scientific discourse in these rapidly evolving fields.