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ENTITY Social Networks

Social Networks

PulseAugur coverage of Social Networks — every cluster mentioning Social Networks across labs, papers, and developer communities, ranked by signal.

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Total · 30d
6
6 over 90d
Releases · 30d
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0 over 90d
Papers · 30d
6
6 over 90d
TIER MIX · 90D
TOPICS
SENTIMENT · 30D

1 day(s) with sentiment data

RECENT · PAGE 1/1 · 7 TOTAL
  1. TOOL · CL_254633 ·

    Graph Neural Networks Offer Unsupervised Solution for Social Network Influence Maximization

    Researchers have developed a new unsupervised graph neural network (GNN) framework to tackle the Minimum Dominating Set (MDS) problem, which is crucial for influence maximization in social networks. This novel approach …

  2. TOOL · CL_254233 ·

    Deep learning system enhances credit risk warnings with multi-source data

    Researchers have designed a novel credit risk early warning system that leverages deep learning and multi-source heterogeneous data. This system integrates data from transaction behaviors and social networks using deep …

  3. TOOL · CL_216136 ·

    New GNN ranks network nodes by betweenness centrality with fewer parameters

    Researchers have developed a new Graph Neural Network (GNN) architecture called Degree-Mass Message Passing, designed to efficiently rank nodes by betweenness centrality in large networks. This model leverages the relat…

  4. TOOL · CL_133303 ·

    LLM-driven framework simulates vaccine opinion dynamics

    Researchers have developed a new framework that integrates Large Language Models (LLMs) into agent-based modeling to simulate complex social phenomena. This framework, demonstrated using vaccination opinion dynamics, ut…

  5. TOOL · CL_93254 ·

    AI Contagion in Social Networks: New Research Explores Informational Risk

    A new research paper explores the complex interplay between artificial intelligence (AI) and social communication networks, focusing on how AI-generated content can destabilize collective knowledge. The study introduces…

  6. TOOL · CL_71649 ·

    Researchers analyze majority illusion detection in social networks

    Researchers have analyzed the "majority illusion" phenomenon in social networks, where a minority opinion can appear dominant. They formally defined the $q$-Majority Illusion problem to determine if such illusions are d…

  7. RESEARCH · CL_40612 ·

    US deepfake removal law faces censorship and victim aid concerns

    The United States has enacted a law mandating social networks to promptly remove nonconsensual imagery, including sexual deepfakes. However, experts express concern that the legislation may be ineffective in aiding vict…