Articles tagged with Complex Networks
Researchers analyzed 10,000 perfumes and found that less-common notes and accords are more likely to be successful in online reviews. Generic notes like floral notes and well-represented ingredients like musk or vanilla also play a significant role in perfume success.
The study identifies a distinct control architecture in brain networks, characterized by a distributed and overlapping control system that enables robustness against targeted attacks and high efficiency in switching between network states. This finding has broad implications for cognitive neuroscience and clinical applications.
Researchers at Caltech have experimentally demonstrated how a simple network of identical synchronized nanomachines can give rise to out-of-sync, complex states. This knowledge may lead to new tools for controlling these networks, such as developing new defibrillators for shocking the heart back into rhythm.
Chinese scientists develop a new algorithm that leverages network structure characteristics to improve link prediction accuracy and robustness. Their experimental testing in various real-world networks yields better results than existing methods, leading to the creation of a novel method for predicting missing links.
The High Plains aquifer is a critical water source for US agriculture, but its long-term viability is threatened by diminishing groundwater levels. The authors argue that good management practices can extend the aquifer's lifespan, but require collective effort and cooperation across disciplines and political divides.
Scientists have discovered that tiny cilia on specialized cells create complex networks of dynamic flows that transport molecular 'freight' to specific destinations in the brain. These flows, powered by synchronized beating movements, could play a crucial role in distributing essential messenger substances.
A new model applying ideas from complex networks has found that some quantum spaces might include hubs with significantly more links than others. Calculations indicate that these spaces are described by well-known quantum statistics, suggesting they could be useful for physicists working on quantum gravity.
Researchers discover that most typical networks are robust to both random and deliberate attacks, contrary to previous thought. They propose a simple method to explore the mathematical space of all interesting networks with a particular node degree distribution.
A new algorithm developed by Hua-Wei Shen helps accurately allocate credit to researchers based on their contributions. The algorithm, which has been tested on 63 Nobel prize-winning papers, found that authors deserving of the most credit corresponded to the Nobel laureate in 81% of cases.
The paper proposes a formal passive testing approach to evaluate the conformance and performance of Extensible Messaging and Presence Protocol (XMPP) in IoT environments. The approach uses Horn clauses to express properties checked on extracted protocol traces, enabling the testing of individual nodes in complex networks.
Researchers found that temporal characteristics, particularly bursts of activation events, significantly impact diffusion processes. This new understanding can help build more accurate metrics for analyzing real-world network data.
Brazilian physicists Thiago Silva and Diego Amancio devised a method to disambiguate words with multiple meanings by analyzing their connections in literary classics. Their approach, based on deterministic tourist walks, showed significant accuracy rates comparable to traditional semantic-based methods.
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.
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 Northwestern University develop a new theory of networks, establishing relationships between disparate topics such as friendship paradoxes and material properties. The study reveals that cascading processes can be controlled and collective behavior depends on network properties, opening new avenues for disease treatment ...
North American cuisine tends to share more flavor compounds than expected, with ingredients like milk and butter contributing positively to food pairing. In contrast, East Asian cuisine often avoids mixing ingredients with shared flavor compounds, such as beef and ginger, which may negatively impact food pairing.
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.
Scientists developed a mathematical model to describe interactions within ecological food webs, illustrating how human intervention can aid species conservation. The study found that over 70% of extinctions are preventable by balancing the system with available resources.
A team of scientists has made significant progress in understanding how the brain's 'hearing center' processes sound by mapping its acoustic space. They discovered that neurons within the auditory cortex respond to sounds based on their frequency, but also found an unexpected out-of-column pattern for some neurons.
A study reveals a mathematical model called 'hidden metric space' that explains the efficiency of complex networks, including the Internet and human language. This discovery could lead to innovative architectural changes to remove bottlenecks and optimize communication in these systems.
Computer scientist will receive a $500,000 MacArthur grant for their innovative work on searchable networks. The award recognizes exceptional originality in and dedication to creative pursuits.
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.
A UCLA physicist uses complex systems analysis to study how best-selling books reach their sales peaks, finding that two types of shocks can lead to predictable sales patterns. The researcher's model has been applied to understanding earthquakes and other natural disasters.