Articles tagged with Network Nodes
Researchers found that some brain networks become more densely connected during adolescence, while others become less so. These changes may underlie the refinement of cognitive abilities that develop during the teenage years.
A recent in-vivo study published in Nature Communications found that the nucleus accumbens, a part of the brain with weak connections, plays an unexpectedly influential role in enhancing the memory network. This research has implications for understanding diseases like Alzheimer's and brain cancer affecting cognitive functions.
Researchers at QuTech in Delft successfully generated quantum entanglement between two quantum chips faster than it's lost, enabling the creation of a future quantum internet. The breakthrough allows for the connection of multiple quantum nodes and the establishment of the world's first quantum network.
Researchers at MIT developed an algorithm to prioritize and transmit data from sensors in real-time, ensuring the freshest possible data is received by a network. The algorithm calculates an 'index' based on data age, channel reliability, and node priority, guaranteeing optimal decision-making without overloading wireless channels.
Researchers at UCSB are developing a chip that uses ionic memristor technology to create a physically unclonable device, rendering it vulnerable to cyber attacks. The technology aims to prevent cloning and hijacking of devices in networks, making them ideal for securing IoT devices.
Researchers at Lawrence Berkeley National Laboratory developed HipMCL, an algorithm that can cluster large biological networks containing millions of nodes and edges. The new method allows biologists to make sense of big science data using massively parallel supercomputers.
A new mathematical framework explains how rare events can cause major disruptions in complex networks like power grids and ecological systems. The framework correctly captures the effect of rare damage configurations observed in real networks, revealing discontinuous percolation transitions that lead to abrupt collapses.
Researchers analyzed scientific connections of leading scholars, including Harry Eugene Stanley and Edward Witten, to understand modern scientific cooperation. They used Erdos numbers to visualize the flow of ideas in graphs, revealing a self-organization resulting from power law dynamics in these networks.
ICFO researchers have successfully connected two distinct quantum nodes using a single photon, demonstrating the feasibility of hybrid quantum networks. This breakthrough enables secure data transmission and advanced computing capabilities.
Researchers developed a new protocol to improve information flow between emergency responders and decision-makers, reducing delays by seconds. The Multi Node Label Routing (MNLR) protocol helps detect failures and reroute data quickly, making it more reliable for emergency situations.
A new paper in Science Advances challenges the approach of using metadata to validate community detection algorithms, showing that this method introduces biases and limits algorithm diversity. Researchers propose two new statistical approaches to explore deeper patterns within network data.
A new theoretical model shows that dense networks evolve differently depending on the rate of second-neighbor connections. Networks with high copying probabilities exhibit densifying behavior, growing faster than themselves, and an unlimited number of growth transitions related to copying are discovered.
Researchers at Bar-Ilan University used network theory to map the human cortical network, revealing a hierarchical structure with different shells of low and high connectivity. The 'nucleus' shell, comprising 20% of nodes, supports global information integration and is linked to consciousness.
Researchers at MIT's CSAIL have developed a new way to train neural networks that provide not only predictions and classifications but also rationales for their decisions. The system consists of two modules: one extracts segments of text from training data and scores them, while the other performs prediction or classification tasks.
Researchers studied interdependent and interconnected networks, finding that a failure in one network can lead to complete fragmentation of the system. The study highlights the importance of considering spatial constraints and potential cascading failures in complex systems.
Researchers are exploring software-defined cellular networking to provide next-generation mobile broadband with speeds of up to 10 Gbits/s. The proposed end-to-end architecture offers flexibility, scalability, agility, and efficiency, while overcoming bandwidth shortages and improving quality of service.
Researchers at UT Dallas' Center for Vital Longevity found that brain networks become less segregated and specialized as we age, leading to poor long-term memory. This study may lead to new clinical diagnostic criteria for age-related memory disorders.
A new storage system, BlueDBM, uses a network of flash storage devices and field-programmable gate arrays to dramatically speed up the time it takes to access information. The system can analyze high-volume scientific data at around 30 frames per second, making it possible to answer user queries with very low latencies.
Researchers have developed a new technique for addressing vertex-connectivity problems, which could lead to communications protocols that coax as much bandwidth as possible from networks. The approach is based on decomposing the network into connected dominating sets, allowing for faster information flow and increased robustness.
Researchers developed a new framework to analyze ad hoc networks with fluctuating link quality, providing mathematical bounds on message propagation efficiency. The framework describes algorithms that can achieve maximal efficiency using randomness and adversarial relationships.
Researchers at Northwestern University developed a computational framework to control large complex networks by identifying small perturbations that can rescue or reprogram them. The approach has been successfully applied to mitigate cascading failures in power-grid networks and identify potential drug targets in human cancer.
Researchers will explore novel solutions for efficient spectrum sharing and develop cooperative sharing methods for DoD and Navy's cognitive radio ad hoc networks. The projects aim to achieve transparent coexistence and improved network performance, enabling greater spectrum efficiency and capacity.
A new algorithm for message dissemination in decentralized networks is faster and deterministic, guaranteeing delivery to all nodes. The algorithm's efficiency relies on the collective action of nodes performing simple local tasks, emerging into a global behavior.
Researchers at Polytechnic University of Catalonia developed an algorithm using Japanese tree frogs' calling behavior to solve the graph coloring problem, ensuring efficient color assignment in wireless networks. The new approach enables optimizing WiFi connections and improving energy efficiency.
Complex networks from different disciplines exhibit similar core structures, known as skeletons, which are shaped by basic growth mechanisms. This discovery could help predict how diseases or information spread across networks.
Researchers at MIT demonstrate that network coding and error-correcting codes can be handled separately in wired networks, increasing capacity. In contrast, wireless networks pose challenges due to interference, but upper and lower bounds on capacities are calculated, providing a guide for future research.
A new data transmission approach developed by researchers at North Carolina State University can increase the amount of data transmitted in multi-hop wireless networks by 20-80%. The centrality-based power control algorithm optimizes system efficiency by determining when to use powerful transmissions and when to use less powerful ones.
A new metric called order gain measures the impact of Wi-Fi attacks on network disruption, helping design effective countermeasures. The research focuses on continuous attacks targeting networks with large numbers of users.
Researchers found that higher disorder in complex networks accelerates synchronisation, contradicting previous theories. This observation holds true for various real-life networks, including air-transport and social networks.
A new computational model analyzes any type of complex network, revealing critical points for controlling the entire system. Researchers found sparse networks require more nodes to control, while dense networks need fewer. The algorithm offers potential applications in reprogramming adult cells and identifying new drug targets.
Researchers at the University of Calgary have successfully created a node in a quantum network using impurities in diamonds. Impurities in diamonds can be used to store information encoded onto their quantum state, which can be controlled and read out using light.
Research reveals that dynamic semantic network of human language is small-world and scale-free but differs from syntactic network in hierarchical structure and node degree correlation. This discovery sheds light on the organization of human semantic knowledge and cognition.
A network of 120 sensors is monitoring Lake Wivenhoe's environmental conditions in real-time, enabling early detection of contaminants and high rainfall events. The system uses CSIRO's FLECK smart wireless sensor technology to collect detailed data on water quality, event flows, and weather patterns.
A new analytical approach can reveal latent connections and patterns in terrorist networks, potentially helping investigators gather information on associates and bring perpetrators to justice sooner. The technique uses graph theory and computational data processing to analyze networks and identify critical nodes.
Engineers at Vanderbilt University's Institute for Software Integrated Systems developed a system that combines information from multiple nodes to triangulate on shooter positions, improving accuracy. The system uses acoustic signals produced by high-powered rifles to track shooters in real-time.
Researchers will analyze larger networks to understand how they form and evolve over time, with potential applications in identifying critical nodes and predicting new growth areas.
Researchers developed an algorithm called XL that significantly reduces network routing updates, making it possible to support larger networks and improve efficiency for low-power devices with slow links. The algorithm uses three rules to determine which updates are important and can be suppressed.
Researchers describe a new method to uncover the hierarchical organization of complex networks, explaining previously unknown patterns such as node connectivity and triangle formations. The approach achieves up to 80% accuracy in predicting missing connections across disparate fields like biology, terrorism, and ecology.
Dr. Wenjing Lou's comprehensive study will explore the efficiency, throughput, and reliability of multihop wireless networks, enabling the development of more effective wireless technology. The award also supports her efforts to strengthen WPI's academic program in wireless networking.
A recent study by IU informatics researchers challenged the notion of a Web-dominating 'Googlearchy' where search engines direct most traffic to established mainstream sites. The study found that popular sites receive significantly less traffic than predicted, indicating a more even distribution.
Scientists at Max Planck Institute discovered that activity patterns on scale-free networks have unusual dynamic properties, robust against random perturbations but sensitive to selective ones. These networks can store and retrieve fixed patterns, making them suitable for associative memories and pattern recognition.
A new map of microbial evolution reveals that more than 600,000 genes have been transferred horizontally among species over billions of years. This finding challenges the traditional tree-like representation of evolutionary relationships and highlights the importance of horizontal gene transfer in shaping microbial communities.
Scientists at the University of Thessaloniki, Bar-Ilan University, and Justus-Liebig-Universitat Giessen have quantified network vulnerability, finding that knowledge of top nodes can significantly reduce attack points. This research has implications for controlling contagious disease spread through social networks.
A new cybersecurity protocol called 'delayed password disclosure' aims to prevent identity authentication attacks on online banks and ad hoc wireless networks. By using this protocol, users can verify their identities without divulging sensitive information, making it difficult for attackers to steal funds or sensitive data.
Researchers used MRI to study brain activity and found that tens of thousands of discrete brain regions form a network with the same features as other complex networks, such as the Internet. The brain network shares two fundamental properties: small world connectivity and in-homogeneity, allowing for efficient information transmission.
Researchers identified vulnerabilities in Wi-Fi networks that can drain battery life and disrupt communication infrastructure. A proposed solution involves reputation-based control systems to strengthen routing protocols against stealth attacks.
A Cornell University computer scientist has concluded that the key to finding people in a network lies in its structure, which can provide fundamental cues for navigation. By using an "inverse square" pattern of connections, messages can travel faster and more efficiently through networks.
Cplant Cluster, a self-made supercomputer at Sandia National Laboratories, solves benchmark problems at 232.6 billion operations per second with its 580-node assembly. The system's scalability and ability to work together make it useful for complex applications.