AIMC Topic: Social Networking

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Deep graph representation learning for influence maximization with accelerated inference.

Neural networks : the official journal of the International Neural Network Society Aug 31, 2024
Selecting a set of initial users from a social network in order to maximize the envisaged number of influenced users is known as influence maximization (IM). Researchers have achieved significant advancements in the theoretical design and performance...
Algorithms Deep Learning Social Networking Humans Neural Networks, Computer
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Breaking the silence: leveraging social interaction data to identify high-risk suicide users online using network analysis and machine learning.

Scientific reports Aug 20, 2024
Suicidal thought and behavior (STB) is highly stigmatized and taboo. Prone to censorship, yet pervasive online, STB risk detection may be improved through development of uniquely insightful digital markers. Focusing on Sanctioned Suicide, an online p...
Adult Humans Male Internet Machine Learning Social Interaction Suicidal Ideation Female Social Networking Suicide
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Deep learning for automatic facial detection and recognition in Japanese macaques: illuminating social networks.

Primates; journal of primatology May 17, 2024
Individual identification plays a pivotal role in ecology and ethology, notably as a tool for complex social structures understanding. However, traditional identification methods often involve invasive physical tags and can prove both disruptive for ...
Female Deep Learning Japan Facial Recognition Animals Male Social Networking Macaca fuscata
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Applying explainable artificial intelligence methods to models for diagnosing personal traits and cognitive abilities by social network data.

Scientific reports Mar 4, 2024
This study utilizes advanced artificial intelligence techniques to analyze the social media behavior of 1358 users on VK, the largest Russian online social networking service. The analysis comprises 753,252 posts and reposts, combined with Big Five p...
Social Networking Consciousness Thinking Humans Artificial Intelligence Cognition
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Predicting Mood Based on the Social Context Measured Through the Experience Sampling Method, Digital Phenotyping, and Social Networks.

Administration and policy in mental health Jan 10, 2024
Social interactions are essential for well-being. Therefore, researchers increasingly attempt to capture an individual's social context to predict well-being, including mood. Different tools are used to measure various aspects of the social context. ...
Ecological Momentary Assessment Social Interaction Social Networking Affect Social Environment Young Adult Adult Adolescent Machine Learning Self Report Humans Male Female
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Biomarker detection using corrected degree of domesticity in hybrid social network feature selection for improving classifier performance.

BMC bioinformatics Oct 30, 2023
BACKGROUND: Dimension reduction, especially feature selection, is an important step in improving classification performance for high-dimensional data. Particularly in cancer research, when reducing the number of features, i.e., genes, it is important...
Machine Learning Algorithms Biomarkers Social Networking Computer Simulation
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Stingy bots can improve human welfare in experimental sharing networks.

Scientific reports Oct 20, 2023
Machines powered by artificial intelligence increasingly permeate social networks with control over resources. However, machine allocation behavior might offer little benefit to human welfare over networks when it ignores the specific network mechani...
Social Networking Cooperative Behavior Social Welfare Humans Artificial Intelligence Software
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On exploring node-feature and graph-structure diversities for node drop graph pooling.

Neural networks : the official journal of the International Neural Network Society Sep 3, 2023
Graph Neural Networks (GNNs) have been successfully applied to graph-level tasks in various fields such as biology, social networks, computer vision, and natural language processing. For the graph-level representations learning of GNNs, graph pooling...
Neural Networks, Computer Learning Natural Language Processing Social Networking
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Drop edges and adapt: A fairness enforcing fine-tuning for graph neural networks.

Neural networks : the official journal of the International Neural Network Society Aug 16, 2023
The rise of graph representation learning as the primary solution for many different network science tasks led to a surge of interest in the fairness of this family of methods. Link prediction, in particular, has a substantial social impact. However,...
Learning Social Networking Humans Neural Networks, Computer Algorithms
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Intelligent Sensors for POI Recommendation Model Using Deep Learning in Location-Based Social Network Big Data.

Sensors (Basel, Switzerland) Jan 11, 2023
Aiming at the problem that the existing Point of Interest (POI) recommendation model in social network big data is difficult to extract deep feature information, a POI recommendation model based on deep learning in social networks and big data is pro...
Social Networking Big Data Algorithms Geography Deep Learning
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