Articles tagged with Network Analysis
Researchers identified small clusters of interacting components that act as amplifiers, triggering outsized reactions in complex systems. These clusters can control how strongly a system reacts after a disruption, and their presence can determine the stability of entire systems.
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 new study by Complexity Science Hub researcher Rafael Prieto-Curiel challenges the assumption that larger cities are more violent. The study shows that isolated cities, with limited highway connections, experience nearly seven times more violence against civilians per 100,000 residents than well-connected cities.
A new study reveals a strong connection between social media addiction and poor sleep quality among high school graduates in Bangladesh. Higher levels of social media addiction were closely associated with poorer sleep quality, particularly in female participants.
A new study applies network analysis to large-scale data from the French labor market, identifying four main clusters: diffusers, channels, hubs, and condensers. Diffuser occupations offer wide exit opportunities but are hard to enter, while channels and hubs face accessibility issues.
A new study from researchers at the Helmholtz Institute for Functional Marine Biodiversity offers fresh insights into why many microorganisms fail to grow in the lab. The study suggests that the survival of microbes depends on a hidden web of relationships between species, which can collapse with small structural changes.
Researchers from Queen Mary University of London used advanced mathematical techniques to identify suspicious trading patterns that suggest a coordinated attack on the TerraUSD stablecoin, leading to a catastrophic loss of $3.5 billion in value. The study sheds light on how this happened, uncovering evidence of a deliberate attempt to ...
A study by Universidad Carlos III de Madrid examines the Internet's influence on politics and power, highlighting concerns about media control and erosion of democratic values. The research warns against confusing technology with media logic and emphasizes the need for critical analysis of digital narratives.
A team led by Dr. Marcus Botacin is creating a large language model (LLM) to automatically identify malware and write rules to defend against it. The LLM will use signatures to complement human analysts' skills, identifying malware faster and more accurately.
A literature review reveals that our intuitions about success are often misleading, with failure being a predictor of future success and early successes reinforcing inequalities. The study also shows that persuading 'bridge' individuals in social networks is more effective at driving mass adoption than celebrity endorsements.
The study proposes a new framework for understanding complex higher-order networks, which could lead to breakthroughs in physics, neuroscience, computer science, and more. The framework integrates discrete topology and non-linear dynamics, offering insights into how topology shapes dynamics and evolves dynamically.
Research by West Virginia University expert Kylie Vo found that consumers who believe in karma are more likely to forgive companies that behave immorally and less likely to boycott them. In contrast, non-moral transgressions like defective products or misleading claims can severely damage consumer-brand relationships and brand value.
Researchers investigated the impact of AI weather models' lateral boundary conditions on convective-scale ensemble forecasts, finding comparable performance to traditional models. Reducing the vertical resolution of these conditions led to inferior forecast results.
Researchers introduce 'fitness centrality,' a faster method to identify crucial elements in any network, with practical applications in supply chains, ecological conservation, and cybersecurity. The approach streamlines analysis, making it practical for vast networks.
Researchers found that capuchin monkeys in Brazil's Serra da Capivara National Park learn from each other's actions and that social tolerance is crucial for this process. The study showed that partners in collective activities, such as searching for parasites and playing games, are more likely to learn new skills from their companions.
Researchers developed a new tool called SigRM to analyze single-cell epitranscriptomics data, enabling the study of RNA modifications in individual cells. This can provide valuable insights into gene regulation and its impact on health and disease, particularly in complex conditions like cancer.
Researchers surveyed nine European neighborhoods and found that individual motivation to act against climate change outweighs the impact of hyperlocal collective intentions. However, both approaches are worth strengthening, according to the study.
This study reveals that thalamocortical connectivity plays a vital role in the formation of functional brain networks. The researchers used advanced neuroimaging techniques and computational models to map changes in thalamocortical connectivity across different age groups, from infancy to adulthood.
Researchers at Harvard University discovered that giant deep-sea vent tubeworms possess two functional carbon fixation pathways, the Calvin-Benson–Bassham (CBB) and reductive tricarboxylic acid (rTCA) cycles. These pathways are coordinated to enable symbionts to thrive in dynamic and harsh environments.
A new study found that communities with higher-than-average illegal market opportunities are more likely to be targeted by organised crime groups. Organised crime offenders tend to move into areas with similar socio-demographic profiles and target urban communities with higher levels of criminal activity.
New research has found that companies on the periphery of industry networks can successfully build connections and gain influence after disruptions. By examining airline industry networks, researchers discovered that peripheral airlines were more successful in building connections with central firms following major changes or shocks.
Concordia researchers use network analysis to study cognitive decline, identifying key variables that predict subtle changes in brain function. Executive function and processing speed are found to be strongly influential, with age affecting cognition differently for those with mild cognitive impairment or Alzheimer's disease.
A recent study on the Tor network found that one in five onion domains shared child sexual abuse material. The researchers also discovered that users sought CSAM through popular search engines and found that viewing violent material correlates with addiction, while seeking help is often hindered by lack of resources.
Researchers used data science techniques to analyze the atomic structure of amorphous germanium materials, revealing that smaller atomic rings are associated with lower thermal conductivity and larger rings with higher conductivity. This discovery could lead to the development of new metastable phase-integrated thermal control materials.
A new computational biology tool has analyzed the complex biological networks of multiple sclerosis patients, revealing relationships between genes, proteins, cells, brain function, and behavior. The study identified correlations between protein MK03 and immune system cell counts, retinal nerve fiber thickness, and gait test results.
A new study by the University of Zurich found that children from low-income families have fewer opportunities to make friends and socially integrate at school. This has significant effects on their mental health, grades, and future careers.
New research from Aalto University reveals how disinformation and conspiracy theories persist despite external threats, bridging partisan divides only when shared democratic norms are condemned. The study found that social bubbles built on disinformation can be difficult to break, even in the face of dramatic events.
A recent study by Tokyo University of Science has identified central emotions across languages through word association-based colexification networks. The researchers found that concepts like GOOD, WANT, BAD, and LOVE are associated with many other words representing emotions.
Researchers developed a new mathematical framework to analyze genetic interactions and identified key regulators in entire biological networks. The approach, which combines geometry and statistics, reveals how individual genes and species influence network dynamics.
A new study reveals that pandas are more socially active than previously thought, using scent-marking trees to exchange information about their lives. In non-mating seasons, they primarily hang with family members, but branch out during mating seasons.
Researchers used network ethnography to map global education policy networks, exploring relationships between policy mobilities and moorings. The study sheds light on the varied relationships between policy actors and their effects on education reforms.
Sydney researchers have identified new structural relationships in complex networks like Twitter and political blogs. A 'source-basin' structure plays a crucial role in organizing the flow of information, with influential nodes serving as sources and densely connected active nodes forming basins.
The study analyzed over 1.2 million criminal incidents, revealing that specialists tend to operate within a confined geographic area and collaborate with local networks. The method can help law enforcement agencies anticipate criminal developments and tailor measures for prevention, policing, and rehabilitation.
A study led by Northwestern University found that a Chicago-based community violence intervention program reduced gun violence involvement by over 73% among participants. The program's alumni showed the best outcomes, with a significant decrease in assaults, robberies, and other gun-related violence.
Researchers investigate centro-cingulate network changes and cholinergic innervation deficits in Parkinson disease and normal aging. Studies reveal significant correlations between centro-cingulate changes and cognitive impairments, motor symptoms, and age.
A new analysis method can map individual company-level connections, revealing up to 13 billion supply connections worldwide. This data could reduce tax evasion (€130 billion) and improve climate and human rights compliance by creating a global supply network map.
Researchers developed a climate network analysis method to explore teleconnections, which describe how climate events in one part affect others worldwide. The study found areas like southeastern Australia and South Africa are significantly affected by these interconnected events, with stronger connections over time.
The UMass Amherst-UT Austin team has been awarded $27.5 million by the CDC to establish the nation's first disease outbreak response and modeling network. The $250 million program will support decision makers during public health emergencies like COVID-19.
Researchers have successfully solved a problem in graph theory that has attracted attention from within the field. The team's research involves packing coloring, which deals with labelling parts of a graph to comply with certain rules and avoid specific conflicts.
Scientists at CeMM and Max Perutz Labs have reclassified approximately 200 rare immune system disorders using a network-based approach. The study reveals strong similarities between rare diseases and autoimmune conditions, enabling the prediction of treatment efficacy and personalized approaches for diagnosis and treatment.
A new dictionary provides a comprehensive overview of Shakespeare's language, revealing words with reduced mental ability and plant hybrids. The Arden Encyclopedia of Shakespeare's Language offers insights into the linguistic thumbprints of plays and characters, as well as the networks of character interaction.
A new computer science tool is applied to examine Judeo-Christian relations in literature from the early first centuries CE, yielding wondrous results. The study reveals that Jewish sources are familiar with early Christian sources, but show wider geographical familiarity with both eastern and western Christian sources in later periods.
The study creates a network that maps domestic trades between holdings in Austria, revealing the most significant risks of disease spread. The analysis highlights the importance of monitoring and prevention strategies in regions with high animal density and frequent transfers.
A recent study published in JAMA Network Open analyzed emoji use among hospitalists and found that emojis do not cause confusion or affect professionalism. The researchers analyzed thousands of lines of messages and discovered that emojis often serve a linguistic role, adding new information to the conversation.
Researchers at Brigham and Women's Hospital identified distinct brain network connections for visual and motor anosognosia, as well as a shared network for awareness of deficits. The study found that the hippocampus and precuneus play a key role in memory-based recognition of neurological deficits.
A new study found that social support, sense of community, and depressive symptoms played a role in changes to an online gaming site's social structure over time. Members who reported more social support and a greater sense of community were more likely to form communication ties and connect with others.
Researchers identified potential novel receptors for SARS-CoV-2 that utilize multiple receptors to facilitate its life cycle. The study reveals a strong correlation between tissue age-dependency and SARS-CoV-2 infection-induced receptor expression, with older adults being more susceptible to severe outcomes.
OncoMerge uses genetic data to analyze tumor activity and predict future changes. The software detects abnormal gene fusions and mutations affecting protein expression and gene copy numbers, improving the accuracy of cancer modeling predictions.
A machine-learning model was trained on 10 million tweets to infer users' subjective wellbeing. The study found that New Year's Day is the most popular holiday, followed by Defender of the Fatherland Day and International Women's Day. The researchers also discovered gender differences in attitudes towards certain holidays.
Researchers catalogued fake interaction resale panels offering customized services, including buying likes, views, followers, and online visits on various platforms.
Research suggests that rapid ocean warming could force plankton to move away from the tropics, negatively affecting marine food chains. The study used microfossils to track the history of zooplankton and found that tropical plankton populations lived in waters more than 2,000 miles from their current location 8 million years ago.
Researchers from the University of Tsukuba have found distinct changes in brain activity patterns that can differentiate between Alzheimer's disease and Lewy body dementia. These changes were present before symptoms emerged and could be detected using conventional MRI.
Researchers analyzed data from the VITAL trial and found that vitamin D supplementation increased biomarkers associated with vitamin D metabolism in people, regardless of their weight. However, these increases were significantly smaller in people with elevated BMIs, suggesting a blunted response to supplementation.
Researchers at Nara Institute of Science and Technology have developed a method to measure the congruence between contributor networks and library dependencies in open-source software ecosystems. By analyzing over 5.3 million change commits across 107,242 libraries, they found that libraries with high levels of matching contributions a...
Researchers analyzed COX-2 levels and segmental chromosome aberrations in pediatric neuroblastoma tumor samples. Positive correlations between pre-CT Ch 7q gain and COX-2 expression were found, as well as negative correlations between Ch 7q gain and Ch 11q deletion.
A team of researchers proposes an intelligent routing scheme to optimize link load balancing in software-defined networks, achieving significant performance improvements. Their algorithms outperform traditional methods, reducing maximum bandwidth by 24.6 percent in real-world topologies.
Researchers at the University of Ottawa have discovered that patients with electrolyte abnormalities are twice as likely to be diagnosed with an eating disorder. This study analyzed Ontario health data between 2008 and 2020, identifying a potential preventative treatment for approximately 1 million Canadians.
Researchers developed a new class of statistical models to group criminals with similar connectivity patterns, revealing nested and hierarchical structures in the 'Ndrangheta network. The models account for complex architectures and incorporate additional node information from investigations.
A novel AI-based malware detection and classification system has been developed for 5G-enabled Industrial Internet of Things (IIoT) systems. The system achieved an accuracy rate of 97% on benchmark datasets, enabling the secure connection of applications such as smart cities and autonomous vehicles.
A team of scientists has identified over 200 direct protein-protein contacts between the SARS-CoV-2 virus and human cells, shedding light on the mechanisms underlying severe COVID-19. The study reveals chains of connections between viral proteins and infection-relevant human genes, with implications for disease severity and treatment.