Articles tagged with Network Science
Researchers found that intentionally designed differences can make systems more stable, including power grids and biological networks. The study suggests that scientists and engineers could harness disorder to build more robust systems, revealing a potential explanation for the prevalence of variation in natural networks.
A new adaptive computing architecture is developed to improve forecasting of chaotic systems, such as weather patterns and ocean currents. The system uses a reconfigurable memristor array to change its physical connections, achieving improved accuracy over fixed-topology reservoir hardware.
Nearly 4 million Japanese research outputs have been integrated into OpenAlex, significantly enhancing their global discoverability. This integration is driven by Japan's institutional repositories, such as IRDB, and is supported by high-quality, standardized metadata.
Jiaqi Ma's $660,307 grant aims to develop tools for understanding how individual components of training data affect large AI systems. This project will improve the performance and reliability of widely used technologies like language models and recommendation systems.
A $1.15 million USDA grant is expanding the HotHog app, which predicts heat-related risks in pigs. The app provides location-specific forecasts and alerts to help producers prepare for extreme heat, improving animal welfare and production efficiency.
A new study mapped nearly 10,000 environmental exposures to human genes, revealing clusters of chemicals that disrupt common biological functions. The researchers found that exposures targeting central proteins tend to be more damaging, and that the 'distance' between an exposure and a disease can predict health outcomes.
The new Ph.D. program in cybersecurity at Old Dominion University highlights the interdisciplinary nature of the field, incorporating emerging technologies like artificial intelligence. Students from diverse backgrounds are encouraged to contribute to advancing cybersecurity research and education.
Researchers developed a compact aperture-adjustable antenna that maintains strong performance across the 57–71 GHz 5G band and improves signal strength by up to 62.2% at both lower and upper-band-edge frequencies. The system achieves data transmission speeds of up to 56 Gb/s, supporting future Beyond 5G and 6G applications.
The PAISES-6G project aims to design secure, intelligent, and respectful 6G networks that integrate sensing capability and use artificial intelligence for cybersecurity. It focuses on three pillars: preventive AI, quantum security, and mechanisms for secure data sharing.
Researchers have demonstrated a record-breaking 450 terabits per second optical transmission over a field-deployed legacy fiber in London, UK. The achievement uses new optical-amplifier technologies to support ultra-wideband signals, exceeding previous records and unlocking previously untapped capacity in standard optical fibers.
Prof. Kariv's AI-based simulation system addresses the gap between theoretical knowledge and practical skills in entrepreneurship. The system enables repeated practice, immediate feedback, and measurable progress over time.
Researchers at UBC Okanagan have made a groundbreaking discovery in wireless communication by developing nonlinear intelligent surfaces that can process electromagnetic waves more efficiently. These surfaces mimic neurons in computerized neural networks, enabling complex signal transformations and improved communication reliability.
Researchers found that targeting highly connected peers produced the largest reductions in smoking, with influence extending up to three degrees of separation. Social network structure also mattered, with denser networks showing wider and slower diffusion.
Researchers developed a new imaging method to visualize how food spreads through ant groups in real time, offering insights into collective health and potential early warning signs of disruption. The technique allows for precise measurement of food distribution patterns across various species.
The Harvard-led team demonstrates a micron-scale photonic device that generates two orders of magnitude more UV light on a chip than previous approaches. By converting red light to UV light through frequency upconversion, the researchers create high-power, low-loss, compact UV sources.
A new theoretical framework shows that when interactions shift away from familiar contacts, activity can spread more widely. The study suggests that whether something spreads or stalls may hinge on a simple choice: revisit the same connections or explore new ones.
Terrence Sejnowski receives Scientific Breakthrough Award for his foundational development of Boltzmann machines, providing the architectural bedrock for deep learning and generative AI. His work has had a profound impact on modern artificial intelligence and tools like ChatGPT.
A new research paper proposes Wireless Environmental Information Theory (WEIT) as a novel theoretical foundation for 6G environment intelligence communication. WEIT validates the EIC architecture aided by wireless environmental information and discusses key challenges for its practical application.
Researchers from China Mobile Research Institute and ZGC Institute outline a comprehensive analysis of cooperative integrated sensing and communication (ISAC), a key paradigm for sixth-generation mobile information networks. The study presents real-world field trial results, demonstrating the technology's feasibility in various setups.
A study in Engineering explores a novel strategy for multi-user edge computing systems to maximize robot swarm lifetime. By exploiting correlation among distributed data sources, the approach reduces communication overhead and energy drain, extending swarm operation by up to 650%.
The study proposes a task-driven design approach for 6G AI-native architecture, embedding AI as a foundational element. It addresses core challenges in integrating AI into 6G mobile networks and outlines a comprehensive architecture for converged connectivity-computing management.
A new study proposes a task-oriented framework for 6G space-air-ground integrated networks (SAGINs) tailored for unmanned operations. The SC³ loop, an integrated structure analogous to the biological reflex arc, connects sensors, edge platforms and actuators to enable autonomous execution of complex tasks.
Researchers introduce UltraStar, a high-fidelity and high-efficiency simulator for 6G integrated space-ground networks. The simulator accurately models complex network dynamics, including satellite orbit prediction and realistic modelling of sun outages and inter-satellite links.
Researchers from NIST and University of Colorado, Boulder, have demonstrated highly stabilized fiber links for quantum networking. They achieved nanometer precision stabilization while separating the classical light from the quantum signal, enabling the transmission of quantum information reliably.
A team of researchers at Binghamton University has developed a method to pinpoint discoveries that reshaped the course of science. The new metric uses neural embedding to analyze approximately 55 million scientific papers and patents, identifying major breakthroughs and simultaneous discoveries with greater accuracy.
This special issue explores the latest research progress in 6G technology development, standard formulation, and engineering practice. Key findings include advancements in AI-driven design, semantic communication systems, and generative artificial intelligence for 6G mobile networks.
Researchers propose using swarms of pico-satellites to form a single large antenna for reliable, high-quality data transmission. This innovative solution could lead to cheaper and more reliable network coverage worldwide, especially in remote areas.
Researchers have shown that topology can guide multiple, information-carrying light signals through chip-based photonic communication systems, making them more powerful and reliable. This breakthrough could enable the creation of networks of chips that communicate using light while taking advantage of topology's robustness.
Researchers have shown that ocean temperature patterns limit the global spread of droughts, with synchronised droughts affecting only 1.8% to 6.5% of global land. The study identified 'drought hubs' in regions like Australia, South America, and southern Africa.
Researchers at the University of East London identified a critical weakness in Industrial Internet of Things networks that can destabilize factories and safety-critical infrastructure. Attackers can exploit subtle 'delay attacks' to quietly disrupt coordination, making timing just as important as information in highly automated systems.
Giant superatoms combine two quantum-mechanical constructs to suppress decoherence and create entanglement, opening opportunities for scalable and reliable quantum systems. This breakthrough enables quantum information to be protected, controlled, and distributed in new ways.
Researchers developed a compact, low-power FMCW radar signal generator chip for edge and IoT devices, enabling high-speed sensing and precise distance measurement. The chip successfully overcomes the trade-off between chirp speed and signal linearity, bringing us closer to a seamlessly connected 6G society.
Researchers develop Dual Perigee, a lightweight algorithm that streamlines network connections to enable secure and low-latency data sharing in IoT networks. The study reduces block-related delays by 48.54% compared to standard approaches.
A study by Chongqing University of Posts and Telecommunications proposes a modality fusion strategy to enhance visualization-inertial trajectory localization. The approach leverages attention mechanisms and cross-modal communication, achieving robust accuracy in complex environments.
Satellite networks are becoming integral to future 5G/6G systems, offering global coverage and high throughput. Advancements in satellite technology have bridged the gap between terrestrial and satellite networks, reducing latency and increasing capacity.
Large language models are transforming scientific production by boosting output but decreasing quality, according to a recent study. LLM adoption also leads to more diverse literature references, while robust quality-assessment frameworks remain crucial.
A team of researchers developed an innovative algorithm called 'Ponte' that integrates advanced functionalities to provide reliable wireless communications in industrial environments. The algorithm guarantees strict limits on delay and reliability, even over Wi-Fi, making it suitable for controlling robotic arms and autonomous vehicles.
The 2026 Gottfried Wilhelm Leibniz Prizes were awarded to three female and seven male researchers. The winners received €2.5 million in prize money to support their research work for up to seven years. Klaus Blaum, a physicist, was recognized for his high-precision measurements of natural constants and symmetries.
A research team proposes a 'three-in-one' modeling strategy to tackle the complex electromagnetic environment of future space-air-ground networks. The framework integrates digital twin technology and agent-based modeling to capture dynamic interactions and understand signal intent.
A University of Michigan study reveals that Ghana's informal e-waste recycling industry exposes workers to severe air pollution, compromising their health and the environment. The study finds that urbanization drives population growth, which exacerbates pollution in settlements like Agbogbloshie.
Researchers introduce HierSpectrumChain, a hierarchical blockchain architecture for efficient and secure dynamic spectrum sharing among diverse wireless users. The system automates spectrum leasing through smart-contract–driven Stackelberg auctions, minimizing latency while maintaining transparency and trust.
A study from Aalto University found that just a handful of influential voices can drive dramatic societal rifts, with an elite cluster accounting for a striking share of overall polarisation. Alignment among elites has also become increasingly complete, leading to political gridlock and regression in individual and societal well-being.
The study used network theory to analyze ecological connectivity of 28 areas in the northwest of São Paulo, Brazil. The research found that restored areas lack diversity, with low connectivity values and no nesting pattern.
A research group has constructed a 'material network' for metallic glasses, revealing that fully connected groups of elements are excellent predictors for new alloys. The study also found that many recent discoveries were already encoded in the network structure from earlier data.
A new study from the Complexity Science Hub finds that belonging to more than one marginalized group can significantly harder forming social connections. The researchers developed a mathematical model and tested it using friendship data from around 40,000 U.S. high school students, revealing how overlapping disadvantages can interact.
Researchers discovered that brains and economies follow similar rules in crisis, using physics principles to predict collapse and recovery. The study found that networks closer to first-order transition show faster collapse and slower recovery after a crisis.
A new resource identifies genetic variants associated with elevated 'bad' cholesterol, a major contributor to heart disease. Clinicians can now predict patient risk for heart attacks and strokes, allowing for prevention and early treatment.
Increasing polarization and growing social connections have led researchers to discover a fundamental explanation. A study published in PNAS found that more close friends and denser social networks can lead to increased conflict and societal polarization.
The Stowers Institute has appointed its first AI Fellow, Sumner Magruder, to harness the potential of artificial intelligence in biological research. He will collaborate with researchers to design new algorithms and unlock insights from large datasets.
Research findings from the International Drought Experiment reveal that consecutive extreme drought years lead to significant declines in ecosystem productivity, with some sites experiencing a 2.5-fold reduction in productivity over four years. This cumulation is attributed to species mortality, failed establishment, and changes in com...
University of Michigan researchers propose a technique called Dynamic Sensor Selection to identify disease biomarkers. The approach, which applies control theory and observability principles to biological systems, has been shown to pinpoint biomarkers at each time point and reduce data complexity.
Researchers at Texas A&M University have developed a new framework to protect industrial processing facilities from cyber threats. The framework identifies vulnerabilities, detects abnormal activity in real-time, and provides safeguards and mitigation strategies to maintain safe operations.
The BELIS project is integrating cutting-edge technologies in legume breeding to optimize genetic progress and develop new varieties. Advanced protocols and techniques are being developed for phenotyping, genotyping, and disease resistance, aiming to improve breeding efficiency.
The Center for Land Surface Hazards will develop new scientific frameworks and modeling tools to forecast and mitigate cascading hazards. CLaSH also aims to broaden and grow a workforce of experts in land surface hazards and foster community engagement.
Researchers at Mizzou have developed a highly sensitive, affordable, and durable hydrogen sensor that can detect tiny leaks in seconds. The sensor is designed to be small, long-lasting, and cost-effective, making it an ideal solution for preventing accidents and protecting the environment.
Researchers at KAIST have precisely clarified the operating principle of an oxide-based memory device using a multi-modal scanning probe microscope. The study reveals that oxygen defects determine the on/off state of the memory and confirms that electronic behavior also plays a role in its resistance changes.
A new algorithm, bimodularity, breaks the code in network theory by detecting not only which nodes belong together but also how information flows between them. This allows for the identification of bicommunities, where one community sends and another receives information, revealing new organizational structures.
A team of UBC Okanagan students developed an adaptive model that can automatically detect subtle shifts in complex images, improving accuracy for doctors and scientists. The technology, called MEBS, uses advanced mathematics to pick out important details, helping to spot illnesses sooner and track wildfires more effectively.
This book provides a beginner-friendly resource on the impact and evolution of decentralized networks, highlighting their applications in healthcare, supply chains, agriculture, climate monitoring, and education. The authors emphasize sustainability, data security, and ethical tech adoption.
Researchers from Science Tokyo developed analog relay stations to extend mmWave coverage, achieving over 1 Gbps throughput and enhancing stability in previously unreachable zones. The innovative solution utilizes distributed relay diversity to maintain signal strength and throughput even with blockage.