Articles tagged with Social Networks
Researchers found that fostered flamingo chicks formed stable social ties and behaved like parent-reared birds after rejoining their species. The study provides valuable insights into the success of fostering for conservation breeding programs.
Researchers at Penn State developed FairGNN, a novel framework that estimates sensitive attributes to reduce bias in graph neural networks. The model maintains high performance on node classification using limited user-supplied information while reducing bias.
Research from the Complexity Science Hub found that urban planning can directly influence social network formation and socio-economic equality. Towns with evenly distributed social networks tend to have lower economic inequality, while those with fragmented networks exhibit higher disparities.
Researchers from SUTD developed a correlation-robust model of influence maximization, which assumes hidden correlations in influencers' behavior are detrimental to the company's interest. This model has computational benefits over traditional independent cascade models and can be used by practitioners to enhance network robustness.
Indiana University researchers will investigate the dynamic between social cognition, social networks and cognitive ability to slow down Alzheimer's progression. The study aims to determine causality and explore how much of the cognitive decline depends on social cognitive function or general cognitive function.
Researchers found that vampire bats with activated immune systems and feeling sick interacted with fewer bats, spent less time near others, and were less well-connected to the social network. This behavior helps reduce the spread of disease in highly social animals like vampire bats.
Researchers at Uppsala University developed a new AI-based method for analyzing gene activity in tissues using graph neural networks. This approach enables the detection of new cell types and intra- or intercellular functions without prior knowledge of expected cell types, greatly expanding our understanding of cellular behavior.
A new UC Riverside study found that same-gender couples have higher-quality interactions both inside and outside their relationships compared to heterosexual couples. The study also showed that women in male-dominated relationships tend to have the largest social networks, while men with men have smaller ones.
A collaborative research group from Kyoto University investigates how animals balance information sharing with disease risk to form social networks. They propose an integrative framework that incorporates deleterious forms of social transmission, like infectious diseases.
A team of researchers from Italy has proposed a new metric to evaluate the effectiveness of virtual groups. By analyzing interaction data from two Italian-based social networks, they found that trust plays a crucial role in forming cohesive and productive groups.
Researchers developed a method to analyze social networks of autistic youth, showing how interpersonal relationships and resources can impact adult outcomes. The study found that social connections and support from family members are crucial for autistic young adults' quality of life and independence.
Researchers found that friendship with high-achievers has a positive impact on students' academic performance, while befriending underachievers can lead to a drop in grades. The study analyzed the social networks of 117 first-year students and used stochastic actor-based modeling to address the dynamics of social group members' behavior.
Research found that women with fewer social connections are more likely to be obese, while men with larger networks are less likely. The study suggests that healthcare providers should consider social activities as part of obesity treatment for non-partnered older women.
Researchers found that brain organizes knowledge learned from separate experiences into a structural form like a map, allowing for quick adaptation to new situations. The study suggests that the human brain uses the same codes to represent abstract information as it does physical space.
Research suggests that giving individuals the freedom to choose preferred public goods significantly increases participation rates, fostering conditional cooperation and leading to more wealth generated for players. Local circumstances are found to be more important than global social network characteristics in driving this effect.
A study analyzed 664 news articles about suicide posted on a social network between 2018 and 2019. The findings suggest that adherence to suicide reporting guidelines may benefit individual health as well as reader engagement, with US-based publications being less likely to adhere to the guidelines.
Researchers found that providing less popular farmers with new information and technologies leads to wider community adoption of sustainable farming practices. The study suggests that relying on prominent farmers may not be effective in spreading sustainable practices.
Research reveals that loneliness affects the brain's map of social connections, with lonelier individuals having a less distinct neural representation of their relationships. The study used functional magnetic resonance imaging to examine participants' brain activity while thinking about different social categories.
Researchers developed a framework using graph theory to optimize digital communication networks, finding cliques within them for efficient data transmission and improvement in throughput by up to 30%. This approach has far-reaching implications for future networks, including the internet of things with larger volumes of data.
The study reveals that human presence disrupts the complex social structures of Masai giraffe populations, leading to weaker relationship strengths and exclusive social associations. Giraffes living near humans have reduced social interactions and are more likely to encounter livestock and predators.
Monk parakeets seem to understand where they fit in a dominance hierarchy and pick their fights accordingly, improving or maintaining their status. This ability helps animals make aggression decisions by processing different types of information.
A study by Carnegie Mellon University found that social networks actually worsen decision-making in emergency situations, leading to delayed evacuations and the spread of misinformation. The research suggests that communication within groups does not improve decision-making as expected.
Researchers found that people are hesitant to use single sign-on services for sensitive apps like relationship and financial apps, citing concerns about data leakage and privacy. Participants preferred to use their email address or create a new account to access these apps.
A study found that Russian social media platforms like Facebook and VKontakte exhibit characteristics of McDonaldization, a form of rationality that prioritizes efficiency and profit over human values. This process can lead to the displacement of individuals from meaningful relationships and the loss of personal autonomy.
Researchers demonstrated mathematically that low-dimensional embeddings fail to capture important properties of social networks and other complex networks. This flaw leads to significant structural aspects being lost in the embedding process, resulting in inaccurate predictions and recommendations.
A recent study published in the Journal of Health and Aging reveals that having a large social network consisting of people who share one's sexual identity can significantly reduce harmful effects of discrimination on health. This finding underscores the importance of considering a person's background in their overall well-being.
A new study by UCL and University of Zurich found that hunter-gatherer ancestors developed cultural ideas in small social networks, regularly drawing on knowledge from neighboring camps. This social structure allowed for the co-existence of multiple traditions, leading to a higher rate of cultural evolution.
Etesami aims to develop a platform that simulates human behavior in dynamic social networks like Facebook or Twitter. By analyzing data from these simulations, his team plans to build a richer model to predict and control the spread of false news.
Computational biologists at Carnegie Mellon University have developed a new algorithm, MOCHI, to identify communities within the cell nucleus. The algorithm uses spatial arrangement and genetic interactions to subdivide interwoven nuclear components into groups.
Researchers at the University of Montana studied how black-capped chickadees and red-breasted nuthatches encode information in their calls, revealing that they can distinguish between direct and indirect threats. The study suggests that birds are capable of sophisticated decision-making and avoiding spreading false information.
Researchers developed mathematical models to understand what conditions produced traditional community structures and conventions around the world. Simulated family groups with shared traits naturally grouped together into distinct cultural groups, leading to the emergence of incest taboos and direct or generalized exchange kinship str...
Research published in BMJ Open suggests that active grandparenting is associated with lower scores on loneliness and social isolation. Grandparents who care for their grandchildren have larger social networks and are in regular contact with more important people.
Researchers have developed two methods to detect targeted online ads, enabling Data Protection Authorities to identify and protect specific demographic groups. The methods use content-based analysis and frequency-based detection, providing a valuable tool for GDPR compliance.
Research finds that quality relationships and how people feel about their friends are key to well-being, not the actual number of friends. Older adults tend to report better well-being than younger adults, despite having smaller social networks.
A study by researchers at the Smithsonian Tropical Research Institute found that vampire bats form lasting social bonds, even when released back into the wild. The bats' social networks were tracked using miniaturized computers weighing less than a penny, showing daily changes in their relationships.
Researchers at Michigan State University found that positioning employees in different units enables them to learn from innovative colleagues and adopt new skills. This approach promotes organizational learning for sustainability without the need for top-down hierarchy or extensive training.
A study by researchers at the University of Pennsylvania found that information gerrymandering can induce strong biases in collective decisions, even without fake news. The phenomenon occurs when individuals interact with predominantly like-minded groups, leading to a filter bubble effect that can sway outcomes.
New research suggests that the structure of social networks can sway voting outcomes towards one political party, even if both parties are equal in size and influence. This phenomenon is known as information gerrymandering, where people's decisions are constrained by their social networks and distorted by zealots and automated bots.
A systematic review and meta-analysis of social network interventions found significant effects on various health behaviors and outcomes, including sexual health, alcohol misuse, wellbeing, and smoking cessation. The study suggests that social network approaches can be a promising tool for improving health behaviors and outcomes.
Researchers studied two giraffe populations in Kenya to determine if human activity affects their social networks. High human activity was found to strengthen social bonds and create more exclusive groups among the giraffes.
A recent study by Stanford University and ETH Zurich found that refugees living in areas with larger numbers of people who share their background are more likely to be employed. The study revealed a 2% boost in employment for every 10% increase in the size of ethnic networks. Refugees, especially women, benefit most from proximity to m...
MIT physicists develop technique to analyze open data from particle colliders, creating a geometric map of events based on degree of similarity, allowing them to quickly spot potential new physics. The researchers use an algorithm inspired by computer vision techniques to calculate the distance between point clouds in collision data.
Researchers found a positive correlation between passive Facebook use and depressive symptoms in individuals with an increased need for social comparisons. Long-term use of social networks can also lead to lower self-esteem and greater depressive tendencies.
A study on Minecraft communities reveals that amateur gamers develop essential leadership and governance skills, creating effective self-governance systems. The research demonstrates the transferability of these skills to real-world environments, highlighting the potential for internet communities to shape healthier democracy.
Researchers from the University of Warwick developed a 'social network' of over 100 ground-based magnetometers to monitor geomagnetic substorms. This allows for more accurate models and helps understand space weather's impact on electrical systems.
A new study published in PLOS ONE suggests that social network structure is a significant predictor of health, happiness, and stress levels. By analyzing data from participants' Fitbits and survey responses, researchers found a strong correlation between social network characteristics and individual wellness states.
Computational modeling reveals that vaccination success increases with access to local information about disease prevalence, rather than relying solely on global data. This suggests a need for strategic dissemination of detailed incidence data to inform individual vaccination decisions.
Depression and mental health problems are spreading through close social networks, with traditional face-to-face contacts unraveling. Experts advocate for 'social prescribing' to engage patients in positive activities within their networks to combat rising suicide rates.
Researchers evaluated four state-of-the-art tools for recognizing names in text and found solutions to boost accuracy from 7% to 90%. They also extracted social networks from novels to explore differences in story structure. The study highlights the challenges faced by NLP tools in handling names in popular fiction.
A study by MU researcher Michael Kearney found that moderate users are avoiding politics on Twitter, potentially creating a void in the middle. This amplifies the existing trend of partisan users forming highly partisan networks.
Patients with closer social networks are more likely to delay seeking hospital care after a stroke, while those with more dispersed networks arrive faster. Researchers suggest targeted education and action plans can improve stroke preparedness and outcomes.
Researchers found that social media hashtags can detect and predict fashion trends by analyzing relationships between users, sentiment, and ideas. By searching for relevant tweets during Paris Fashion Week, they established associations between keywords such as hand embroidery and haute couture.
A study by the University of Notre Dame and Northwestern University found that women who maintain a female-dominated inner circle are more likely to gain leadership roles. The research, which analyzed over 700 former graduate students, showed that having strong ties to other women improves job placement levels for women in male-dominat...
Researchers found that male students' social connections influence leadership positions, while female students need both high network centrality and same-gender support to succeed.
Researchers have discovered strong, long-range social ties that bridge vast gaps in social networks, providing high-bandwidth shortcuts. These 'wormholes' can spread information and ideas, including potentially unhealthy ones, across extreme network distances.
A study found that automated accounts on Twitter spread 31% of low-credibility information, with just 6% of bot accounts responsible for most of it. The researchers suggest eliminating bots from social networks to reduce misinformation, and propose steps companies can take to slow the spread.
Researchers found that a gene variant, 5-HTTLPR, reduces the risk of depression associated with friendship and relationships stresses when young, but increases the risk following financial stress. This discovery may offer new insights into the evolution of depression.
A study by Brigham and Women's Hospital researchers found that people's social networks have a strong association with their reported neurological disability. The team developed a social network assessment tool, which found that unhealthy habits of those around an individual can significantly impact their health outcomes.
Researchers developed an artificial neural network that can compare medical concepts to specific symptoms mentioned by patients on social media. The AI system uses semantic vector word representation and can identify symptoms like insomnia or vertigo with high accuracy.
Researchers developed a method to predict new extremist users, identify duplicate accounts, and track network connections of suspended users. The study found that 70% of additional profiles held by extremists could be identified with only a 2% misclassification rate.