Articles tagged with Network Analysis
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.
A study by physicists Fariba Karimi and her team has confirmed that women are underrepresented in physics, but found that the gender gap is largely due to a first-mover advantage enjoyed by men. The research suggests that women face higher entry barriers and structural inequalities, leading to differences in citation recognition.
A Cornell-led group of researchers has developed a search method that identifies terms similar to cancer screening tests in colloquial language, expanding conventional data-collection pipelines. The technique was applied to YouTube searches, retrieving relevant videos using words semantically close to the main term.
A research team used game theory to analyze cooperation in networks and found that networks with a high level of cooperation can emerge if individuals take a clear-cut position against free riders. The study also showed that if contributors leave an environment too quickly, it leads to a lower level of cooperation.
Researchers at University of the Basque Country have developed a convolutional neural network to predict flow characteristics around flow control devices on wind turbines. The model achieves accurate results with minimal computational time, reducing errors compared to traditional CFD simulations.
A new study reveals that droughts in the Amazon rainforest can lead to a ripple effect, causing widespread damage and biodiversity loss. The research team used network analysis to understand the complex workings of the forest's moisture recycling system.
A research team from the Complexity Science Hub Vienna has developed a stress test to identify weaknesses and strengths in healthcare systems. They used data from Austria to show how many resident physicians can drop out before patients don't find a new doctor within reasonable distance, highlighting regional differences in resilience.
Researchers analyzed germline variants in breast cancer patients to identify their role in metastasis development. The study found that host genetic makeup contributes to metastasis through dysregulation of gene expression, promoting the dispersion of metastatic seeds and establishing a conducive environment for their growth.
Researchers discovered increased cell cycle activity and proliferation in cardiomyocytes after heart surgery, allowing for remuscularization of the left ventricle. The study identified key genes involved in pathways regulating heart development and cell proliferation.
A team of international researchers created digital models of disease interactions to identify key proteins and signaling cascades in seasonal allergies. They found that inhibiting PDGF-BB protein was more effective than existing treatments, suggesting a potential breakthrough in personalized medicine.
A recent study by the University of Rochester found that mobility patterns can be predicted with surprising accuracy based on data collected from acquaintances, even if individual users turn off their own location tracking. The researchers discovered that up to 95% of an individual's movement pattern can be inferred from people they ar...
A UK crime gang study found that OCG members who previously offended together are more likely to become victims of violence, with a 56-fold increase in risk. The study also revealed cycles of escalating violence within the criminal milieu, with harassment increasing the potential for violence by 243 times.
A new study at the University of Missouri found that positive teacher-student relationships lead to better teaching, as teachers who demonstrate 'soft' skills like kindness and compassion tend to use high-impact teaching practices. Students who feel cared for by their teacher are more motivated to learn and engaged in the classroom.
A study by researchers at the University of São Paulo developed a model that can predict the likelihood of politicians being convicted of corruption based on their voting histories. The model achieved 90% accuracy in identifying corrupt deputies.
Researchers found that conservative tweets are more effective at reaching moderates than liberal tweets, thanks to their network connections and linguistic similarities. The study suggests that liberals need to consciously connect with moderates to compete on Twitter.
A new study suggests that COVID-19 transmission in Italy was more closely tied to the number of social contacts individuals had with people of all ages. Researchers found that Italian social networks were characterized by a higher average number of face-to-face interactions than those in Germany and the UK.
A Duke University-led study finds that if endangered primates disappear, up to 250 parasites could go extinct, including those with no other suitable hosts. This potential extinction cascade could have significant consequences for biodiversity and human health.
A new study analyzes millions of Twitter posts during three major hurricanes to develop a method for measuring social cohesion. The researchers found that monitoring social media chatter can help decision makers understand how communities communicate during disasters and identify areas for improvement.
The US Geological Survey, University of Washington and Washington Emergency Management District activate the ShakeAlert system on May 4, sending advance warning of impending earthquakes to millions of people. The system provides seconds to minutes of warning time for earthquakes above magnitude 4.5 or 5.
Men in Tsimené communities who are kin or exchange food and labor are more likely to provide coalitional support. Higher status men tend to reciprocate and deploy coalitional support strategically to build a diverse following.
George Slota, a computer scientist at Rensselaer Polytechnic Institute, has been granted a $490,000 grant to develop approaches for mapping complex petascale data to exascale hardware. His work aims to create scalable open-source software and frameworks to enable the broader scientific community to easily address these challenges.
A study by Haydeh Payami and colleagues identifies a significant overabundance of opportunistic pathogens in the guts of persons with PD, compared to control subjects. The findings suggest that these microbes may play a role in triggering the disease, but more research is needed to confirm this association.
The U.S. Army Research Laboratory has developed a novel parallel computing framework, GPOP, to process large graphs and data efficiently, making it ideal for DOD security analysis and applications such as terrorist-tracking and bioinformatics.
The study found that core networks are more adaptive to environmental changes in complex systems. Peripheral networks can introduce new ideas and methods to the entire system when core networks cannot adjust. Interactions between core and peripheral networks are crucial for adaptation.
A new study analyzed reading behavior on the digital platform Wattpad, finding that young people intensely engage with both popular and classic literature, but differ in their interaction styles. The research sheds light on the impact of social media on our understanding of culture and literary habits.
Geoffrey C. Fox is recognized for his significant contributions to parallel computing, including the development of Twister and SPIDAL projects. He has also made notable service to the community through various organizations and roles.
A study by University of Göttingen researchers found that Germany and UK are the most popular destination countries for EU internal migration. The analysis showed that richer countries attract more immigrants, and neighboring countries have a high rate of movement between them.
Lehigh University researchers aim to improve the safety and reliability of cyber-physical systems by developing a systematic approach to network infrastructure design. The project seeks to establish a measurement-driven analytical framework for worst-case delay analyses in non-feedforward CPS networks.
According to a study by Rice University data scientists, the number of groups and organizations an individual joins is crucial in forming online friendships. The researchers found that individuals who are active in multiple communities have a higher chance of meeting people with similar interests.
A team of researchers used network analysis techniques to study the fossil records of marine life, revealing patterns in Earth's natural history. The analysis showed that major events like mass extinctions had significant ecological impacts, with some effects previously underestimated or overestimated.
Researchers used network analysis to re-examine medieval texts and found a negative value suggesting an Irish versus Viking conflict, contradicting revisionist historians' views. The study provides new insights into the complex picture of relationships during this period.
Researchers at MIT and Cisco Systems have developed a new approach to network monitoring called Marple, which allows routers to report on their own state without relying on external servers. By using a programming language and simple circuit design, Marple enables precise traffic analysis while reducing the need for additional hardware.
A groundbreaking study applies big data analysis to mineralogy, predicting the existence of 1,500 missing minerals and new deposits. The technique enables scientists to represent data from multiple variables on thousands of minerals in a single graph, revealing patterns of occurrence and distribution.
Researchers at University of Seville developed an algorithm to estimate walk time based on length and gradient, achieving better results than current systems. The new method has practical applications for route management, emergency response, and urban planning.
A CCNY-led team analyzed massive datasets to show that an individual's location in a social network is correlated with their economic status. The study suggests that targeting individuals based on their social network metrics can increase response rates in marketing campaigns.
Analytic modeling helps identify social network connections among stakeholders, revealing strengths and weaknesses in communication and collaboration. This approach enables policy makers to allocate resources effectively, addressing scale mismatch and multi-level governance.
A multi-institution team is using the Titan supercomputer to study actinide chemistry and design methods for separating radioactive compounds from their inert counterparts. The team aims to develop a broad understanding of actinide science to safely store spent nuclear fuel and remediate contamination.
A new study suggests that a tax on individual transactions between financial institutions could eliminate systemic risk in the financial system. The proposed tax relies on an analysis of banking network data and would go into a government fund to bail out struggling banks.
Researchers at Ben-Gurion University of the Negev have discovered six botnets, which are networks of malicious code that can carry out powerful cyber attacks and spread viruses. The team used advanced algorithms to identify the botnets and traced their administrators.
Researchers have identified saffron-based 'crocin' as a potential therapeutic agent against liver cancer, leveraging preclinical studies and network analyses. Crocin's mechanism involves regulating NF-kB, a key hub in liver cancer development, suggesting it as a promising target for early lesion prevention.
Rochester Institute of Technology has received two significant cyber security funding awards from the National Science Foundation and National Security Agency. The awarded projects focus on developing novel attack strategies to predict cyber threats and create preemptive systems for enterprise networks. Led by Shanchieh Yang, the resea...
Researchers use firefly swarm approach to predict user loyalty in social networks, analyzing connections and community structure. The algorithm offers a probability of staying in a given network, providing valuable insights for service providers.
A study analyzing classical music networks reveals the evolution of cultural styles and predictions for the recording market. The research, published in EPJ Data Science, uses modern data techniques to understand how composers collaborate and influence each other.
A study by Northwestern University found that influential colleagues can boost the adoption of new treatments in doctors, with a sweet spot of reminders every five to seven days. The research aimed to accelerate physicians' adoption of new treatments and tests, which can take up to 17 years.
A study by the University of Copenhagen's Niels Bohr Institute reveals common features in user activity on Twitter and stock market transactions. The analysis shows that events in society trigger collective behaviour among large groups, leading to sudden and intense online activity.
A team of Chinese scientists found that small websites with high user interaction have a significant impact on traffic generation and influence. The study analyzed clickstream networks of the 1,000 most popular websites and revealed that smaller sites have a greater chance of acquiring popularity than larger ones.
Researchers found that teams with less predictable, more distributed offenses and better player connections were more successful. The study analyzed games from the 2010 playoffs and gathered data on 16 teams, suggesting a link between team cohesion and success.
A study led by Anthony Jack from Case Western Reserve University shows that the brain fires up one network for empathy and suppresses another for analysis, limiting their simultaneous use. This finding suggests established theories about two competing networks in the brain must be revised.
Indiana University's Filippo Menczer has developed new tools to analyze political social media and track the diffusion of memes. The research team found that Twitter mentions create a communication bridge between left- and right-leaning groups, and can be used to identify partisan asymmetries.
A UC3M study found that Spanish journalists predominantly use Twitter to publish and distribute information, identify trends, and build audience loyalty. However, only a quarter of respondents use Twitter for investigative reporting.
Yaling Yang's research aims to categorize and analyze cross-layer incompatibility issues in wireless networks, improving compatibility and flexibility. The goal is to enable faster Internet access, more wireless traffic, and increased remote work opportunities.
A Northwestern University researcher developed a novel ranking system that evaluates male tennis players through network analysis. According to the study, Jimmy Connors ranks on top due to his long career and matches against other strong opponents. The rankings will be reassessed in 10 years to reflect changes in competition.
The National Resource for Network Biology (NRNB) center will provide researchers with access to advanced tools to study human systems and diseases. The center aims to develop sophisticated models of how human systems function or fail, ultimately leading to new treatments and therapies.
A new study by Dr. Yuval Kalish suggests that some networking strategies can lead to 'social potholes,' harming individuals and businesses. Filling structural holes can bring short-term gains but long-term costs, and authenticity is key for peace-builders.
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.
Researchers find voluntary vaccination effective in containing outbreaks of diseases like smallpox and SARS due to social network effects. Neighborhood size plays a crucial role in determining the effectiveness of voluntary vaccination programs.
Researchers at University of Maryland's Institute for Advanced Computer Studies create SOMA Terror Organization Portal (STOP) to analyze and forecast terrorist organization behavior. The technology allows analysts to query learned rules, network with other experts, and test theories using data-driven forecasting capabilities.