Applied Network Science
Scope & Guideline
Advancing interdisciplinary connections in network science.
Introduction
Aims and Scopes
- Network Modeling and Analysis:
The journal publishes research that develops models for various types of networks, including social, biological, and technological networks, focusing on their structure, dynamics, and properties. - Epidemiological Studies:
There is a strong emphasis on using network science to understand the spread of diseases and the dynamics of epidemics, particularly in the context of infectious diseases and public health. - Social Network Analysis:
Research on social networks, including their formation, evolution, and influence on behavior and decision-making, is a core area of focus. - Interdisciplinary Applications:
Applied Network Science encourages contributions that bridge multiple disciplines, showcasing how network analysis can inform fields such as economics, environmental science, and political science. - Algorithm Development:
The journal features advancements in algorithms for network analysis, including community detection, centrality measures, and predictive modeling, enhancing computational approaches to network science.
Trending and Emerging
- Dynamic and Temporal Networks:
There is an increasing focus on dynamic networks that evolve over time, capturing the complexities of real-world interactions, such as social media dynamics and epidemic spread. - Machine Learning and AI in Network Analysis:
The integration of machine learning techniques with network analysis is on the rise, enabling more robust predictive modeling and insights into network behaviors and structures. - Health and Social Behavior Networks:
Research on health networks, particularly in the context of public health crises like COVID-19, is gaining prominence, reflecting the importance of understanding social behaviors and their impact on health outcomes. - Multilayer and Multiplex Networks:
The study of multilayer and multiplex networks is emerging as a significant area, focusing on how different types of interactions and relationships can be modeled simultaneously. - Disinformation and Social Media Dynamics:
Research addressing the role of networks in the spread of disinformation, particularly through social media platforms, is increasingly relevant, highlighting the implications for public discourse and behavior.
Declining or Waning
- Traditional Graph Theory Applications:
There appears to be a waning interest in basic graph theory applications without a clear real-world context or application, as researchers increasingly focus on complex networks with practical implications. - Static Network Models:
Research focusing solely on static models is declining, as there is a growing emphasis on dynamic and temporal network analysis that reflects real-world changes over time. - Simple Centrality Measures:
The use of basic centrality measures in isolation is becoming less common, with a shift toward more sophisticated, context-aware metrics that consider network dynamics and attributes. - Descriptive Studies:
There is a noticeable decline in purely descriptive studies of networks without a clear hypothesis or predictive modeling, as the field moves towards more analytical and predictive frameworks.
Similar Journals
Jordanian Journal of Computers and Information Technology
Championing Open Access for Groundbreaking Technological DiscoveriesJordanian Journal of Computers and Information Technology, published by Princess Sumaya University and SRSF, stands as a significant platform for scholarly research in the realm of computer science, particularly in topics related to emerging technologies and information systems. With its Open Access model initiated in 2015, the journal facilitates global access to high-quality research findings, embodying the principles of knowledge sharing and academic collaboration. The journal's ranking in the Q3 category of Computer Science (miscellaneous) and its placement in the 54th percentile of Scopus' General Computer Science rankings underscore its growing reputation among researchers and professionals alike. Situated in Amman, Jordan, the journal actively contributes to the regional and international discourse on computing methodologies, applications, and innovations, making it an indispensable resource for scholars seeking to advance their understanding and engage with contemporary issues in technology.
Computer Networks
Pioneering Insights in Networking and CommunicationsComputer 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.
Big Data Mining and Analytics
Shaping Tomorrow's Technologies with Big Data InsightsBig Data Mining and Analytics, published by TSINGHUA UNIVERSITY PRESS, stands at the forefront of interdisciplinary research in the fields of Artificial Intelligence, Computer Networks and Communications, Computer Science Applications, and Information Systems. With an impressive Q1 ranking in multiple categories as of 2023, this journal serves as a critical platform for researchers and professionals eager to explore innovative techniques and methodologies related to big data analytics. Since its transition to Open Access in 2018, Big Data Mining and Analytics has aimed to increase the visibility and accessibility of its cutting-edge research, making permanent strides in the global academic landscape. Housed in Beijing, China, and actively embracing the converged years from 2018 to 2024, the journal aims to cultivate a rich discourse on emerging trends and applications, ensuring its relevance in a rapidly evolving technological environment. Join a vibrant community of scholars dedicated to advancing the frontiers of knowledge in big data.
International Journal of Computer Mathematics- Computer Systems Theory
Pioneering Insights in Computer Mathematics and TheoryInternational Journal of Computer Mathematics - Computer Systems Theory, published by Taylor & Francis Ltd, is a vital resource in the fields of computational mathematics and computer systems theory. With an ISSN of 2379-9927 and E-ISSN 2379-9935, this journal has established a prominent presence in academia since its inception in 2016. It is categorized in the Q3 quartile for both Computational Mathematics and Computational Theory in 2023, reflecting its impact and contribution to the scholarly discourse within these domains. The journal’s Scopus rankings further emphasize its academic relevance, placing it in the 38th and 33rd percentiles in their respective categories. International Journal of Computer Mathematics aims to disseminate innovative research findings, methodologies, and theoretical advancements, making it an essential publication for researchers, professionals, and students looking to deepen their understanding of computational methods and applications. Although it currently does not offer open access, the journal continues to provide insightful contributions to the scientific community, fostering the evolution of computational sciences.
Social Network Analysis and Mining
Empowering Researchers with Cutting-Edge Network InsightsSocial Network Analysis and Mining, published by SPRINGER WIEN, is a premier journal dedicated to the advanced study and application of social network analysis and data mining methodologies within the fields of communication, computer science, and media technology. With rigorous peer-review standards and a 2023 category ranking within the Q1 quartile for Communication and various Q2 rankings across Computer Science and Human-Computer Interaction, this journal not only highlights cutting-edge research but also influences current trends and methodologies in the discipline. The journal's articles are accessible through subscription, ensuring a broad reach among academic institutions and professionals. Covering converged years from 2011 to 2024, Social Network Analysis and Mining serves as an essential resource for researchers, practitioners, and students seeking to deepen their understanding of social networks’ roles in information systems and digital communication, reflecting significant insights from its Scopus rankings that position it at a high percentile among related fields.
ACTA INFORMATICA
Advancing Knowledge in Computer Science.ACTA INFORMATICA is a prestigious academic journal published by Springer, dedicated to advancing the fields of computer networks and communications, information systems, and software engineering. With an ISSN of 0001-5903 and an E-ISSN of 1432-0525, the journal has continued to thrive since its inception in 1971 and is set to cover research up until 2024. Although it currently operates within a Q3 category in its respective fields, it is recognized for providing a platform for high-quality, peer-reviewed research, which is essential for fostering innovation and knowledge dissemination in computer science. While it does not offer an open access option, scholars benefit from its rigorous editorial standards and comprehensive coverage of significant trends and methodologies. The journal is conveniently based in New York, NY, USA, further enhancing its accessibility to a global audience. Researchers, professionals, and students alike will find ACTA INFORMATICA a valuable resource for staying abreast of the latest developments and breakthroughs in this vital area of study.
Network Science
Illuminating the pathways of communication and social systems.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.
JOURNAL OF APPLIED PROBABILITY
Elevating Applied Probability to New HeightsJOURNAL OF APPLIED PROBABILITY is a prestigious peer-reviewed journal published by Cambridge University Press, focusing on the intricate interactions between probability theory and its applications in diverse scientific fields. With a rich history dating back to 1975, this journal caters to an audience of researchers, professionals, and students interested in advancing their knowledge in areas such as mathematics, statistics, and decision sciences. The journal thrives in the competitive landscape of academia, boasting a respectable impact factor and earning Q2 rankings in both Mathematics and Statistics categories as of 2023. It provides a platform for innovative research and methodologies that bridge theoretical concepts with real-world applications, thereby enriching the discipline of applied probability. Although it is not an open-access journal, the JOURNAL OF APPLIED PROBABILITY ensures comprehensive access options through institutional subscriptions, making it a vital resource for anyone engaged in sophisticated probabilistic analysis and its practical implementations.
JOURNAL OF INTERCONNECTION NETWORKS
Innovating the Pathways of CommunicationJOURNAL OF INTERCONNECTION NETWORKS, published by World Scientific Publishing Co Pte Ltd, serves as a vital platform for researchers and professionals in the field of computer networks and communications. Established to foster an understanding of interconnection networks, this journal showcases innovative research findings, methodologies, and advancements in the domain. With an ISSN of 0219-2659 and an E-ISSN of 1793-6713, it has navigated through critical periods of publication, capturing the evolution of the field from 2008 to 2013 and from 2015 to 2023, albeit with discontinued coverage in Scopus. Although currently listed in the Q4 category for Computer Networks and Communications, the journal provides unique insights that contribute significantly to the growing body of knowledge in this niche area, appealing to academics, industry practitioners, and students alike. Please note that the journal operates under traditional subscription-based access options. Engaging with the JOURNAL OF INTERCONNECTION NETWORKS will undoubtedly enhance your understanding and stimulate further exploration within the increasingly important landscape of computer networking.
International Journal of Applied Mathematics and Computer Science
Fostering Innovation Through Interdisciplinary ResearchThe International Journal of Applied Mathematics and Computer Science is a premier open-access journal published by SCIENDO, dedicated to advancing knowledge in the interdisciplinary fields of applied mathematics, computer science, and engineering. Since its inception in 2001, the journal has continually provided a platform for researchers to publish high-quality, peer-reviewed articles, contributing significantly to its fields, as evidenced by its strong Q2 quartile rankings in 2023 across key disciplines. With a notable impact factor and ranking within the Scopus database—#135 in Applied Mathematics and #45 in Computer Science—the journal emphasizes innovative research and practical applications. Open access since 2014, it has aimed to foster collaboration and ensure that vital scientific knowledge is accessible to a broader audience, positioning itself as an essential resource for researchers, professionals, and students seeking to stay on the cutting edge of technological and mathematical advancements.