AIMC Topic: Social Networking

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CoHet4Rec: A recommendation for collaborative heterogeneous information networks.

PloS one Apr 9, 2025
Recommender Systems (RS) aim to predict users' latent interests in items by learning embeddings from user-item graphs. Graph Neural Networks (GNNs) have significantly advanced RS by enabling the embedding of graph-structured data. However, relying so...
Social Networking Algorithms Cooperative Behavior Humans Neural Networks, Computer
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Application of the LDA model to identify topics in telemedicine conversations on the X social network.

BMC health services research Mar 12, 2025
The evolution experienced by global society, in the post-COVID 19 era, is marked by the quite obligatory use of digital media in many sectors, as is the case for the health sector. Quite frequently, both patients and health professionals use social m...
Machine Learning COVID-19 SARS-CoV-2 Humans Natural Language Processing Telemedicine Social Networking Communication Social Media
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Predicting social anxiety disorder based on communication logs and social network data from a massively multiplayer online game: Using a graph neural network.

Psychiatry and clinical neurosciences Feb 25, 2025
AIM: Social anxiety disorder (SAD) is a mental disorder that requires early detection and treatment. However, some individuals with SAD avoid face-to-face evaluations, which leads to delayed detection. We aim to predict individuals with SAD based on ...
Neural Networks, Computer Female Humans Communication Male Middle Aged Young Adult Adult Graph Neural Networks Video Games Japan Social Networking Phobia, Social
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Multi-level social network alignment via adversarial learning and graphlet modeling.

Neural networks : the official journal of the International Neural Network Society Feb 5, 2025
Aiming to identify corresponding users in different networks, social network alignment is significant for numerous subsequent applications. Most existing models apply consistency assumptions on undirected networks, ignoring platform disparity caused ...
Social Networking Humans Machine Learning Algorithms Neural Networks, Computer
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Bidirectional Long Short-Term Memory-Based Detection of Adverse Drug Reaction Posts Using Korean Social Networking Services Data: Deep Learning Approaches.

JMIR medical informatics Nov 20, 2024
BACKGROUND: Social networking services (SNS) closely reflect the lives of individuals in modern society and generate large amounts of data. Previous studies have extracted drug information using relevant SNS data. In particular, it is important to de...
Republic of Korea Deep Learning Drug-Related Side Effects and Adverse Reactions Humans Social Networking Natural Language Processing Neural Networks, Computer
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Decision model of public opinion risk in campus social network based on hybrid dynamic deletion and shortest path algorithm.

PloS one Nov 18, 2024
Aiming at the problem that traditional network public opinion monitoring and searching are inefficient and can easily cause resource waste, the study firstly, through the dynamic deletion-shortest path algorithm to classify network text, and on this ...
Public Opinion Algorithms Humans Social Networking Decision Making Neural Networks, Computer
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How the technologies behind self-driving cars, social networks, ChatGPT, and DALL-E2 are changing structural biology.

BioEssays : news and reviews in molecular, cellular and developmental biology Oct 15, 2024
The performance of deep Neural Networks (NNs) in the text (ChatGPT) and image (DALL-E2) domains has attracted worldwide attention. Convolutional NNs (CNNs), Large Language Models (LLMs), Denoising Diffusion Probabilistic Models (DDPMs)/Noise Conditio...
Social Networking Humans Deep Learning Proteins Neural Networks, Computer
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Machine learning and deep learning-based approach to categorize Bengali comments on social networks using fused dataset.

PloS one Oct 3, 2024
Through the advancement of the contemporary web and the rapid adoption of social media platforms such as YouTube, Twitter, and Facebook, for example, life has become much easier when dealing with certain highly personal problems. The far-reaching con...
Social Media Deep Learning Natural Language Processing Social Networking Neural Networks, Computer India Humans Machine Learning
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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...
Social Networking Neural Networks, Computer Humans Algorithms Deep Learning
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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 Machine Learning Humans Social Interaction Suicide Male Suicidal Ideation Social Networking Internet Female
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