Advances in Social Networks Analysis and Mining

Proceedings of the 17th International Conference on Advances in Social Networks Analysis and Mining - ASONAM 2025
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Inhaltsangabe

Targets of Terrorgram: The Who, What, and Where of Threatening Communication on Terrorgram.- Cross-Subreddit Behavior as Open-Source Indicators of Coordinated Influence: A Case Study of r/Sino & r/China.- When Words Become Warnings: Assessing Threats in Online Spaces.- Modelling effects of social network topology on opinion dynamics during the COVID-19 pandemic.- Explainable Data-Driven Digital Twin for Stress Management.- Exploring Gender-Specific Symptoms in Coronary Heart Disease Diagnosis.- Enhancing Explainability in Knowledge Graph Construction for Healthcare Services Using Large Language Models.- Fuzzy Consensus Clustering for Deep Learning Tuning by using Medical Diagnosis as a case.- Mislabeling Misinformation: Annotation Consistency Shapes Machine Learning for DIY Health Risks.- On the Use of 3D Modeling, Reconstruction and Printing Techniques for the Development of an Ankle Bone Prosthesis.- Therapist by Chance: Investigating ChatGPT’s Emotional and Mental Health Support via Sentiment Analysis on Social Networks.

Produktdetails
  • Erscheinungsdatum: 22.12.2025
  • Autor/Autorin: Panagiotis Karampelas
  • Reihe: Springer Nature Proceedings Computer Science
  • Format: E-Book
  • Dateiformat: PDF
  • Kopierschutz: Wasserzeichen
  • Dateigröße: 66 MB
  • Verlag: SPRINGER
  • Sprache: Englisch
  • Umfang: 470 Seiten
  • ISBN: 9783032135094
  • Lieferung: Sofort per Download
  • Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
  • Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
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