Network and Hypernetwork Science: Emerging Models, Paradigms, and Applications

Dear Colleagues,

Network science and hypernetwork science have emerged as powerful disciplines that enable the study of complex systems in a wide range of domains. While traditional approaches are of paramount importance, these often fall short in capturing the intricate interconnections and dynamics of complex systems. Network science provides a holistic framework to analyze and model the relationships and interactions among components within a system, uncovering hidden patterns, emergent properties, and global behaviors.

In recent years, the field of network science has expanded its scope to include hypernetworks, which capture higher-order interactions and dependencies among elements. The study of network science and hypernetwork science is motivated by the inherent complexity and interconnectedness observed in numerous real-world systems. From social networks and biological systems to technological infrastructures and transportation networks, these systems exhibit intricate structures and dynamic behaviors that can only be fully understood through a network perspective. By employing network science and hypernetwork science methodologies, researchers can uncover fundamental principles, extract meaningful insights, and develop innovative applications.

This Special Issue aims to bring together the latest advancements, novel models, paradigms, and applications in these fields. We invite researchers from diverse disciplines to contribute original research articles as well as review papers in order to disseminate cutting-edge research for understanding and tackling complex systems.

Topics include (but are not limited to):

- Novel network and hypernetwork models;

- Dynamic and temporal network and hypernetwork models;

- Community detection and clustering;

- Centrality measures in hypernetworks;

- Resilience and robustness metrics;

- Evolutionary dynamics in hypernetworks;

- Opinion dynamics and influence propagation;

- Social (hyper)network analysis;

- Simulation of social phenomena in network and hypernetwork models;

- Network-based machine learning and data mining;

- Network science in cybersecurity and privacy;

- Network and hypernetwork science in other contexts (economics, social sciences, biology and medicine, engineering, etc.).

Dr. Francesco Cauteruccio
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• network science
• hypernetwork science
• social network analysis
• complex network analysis
• network modeling