Social Networks Analysis and Mining - 17th International Conference, ASONAM 2025, Niagara Falls, ON, Canada, August 25-28, 2025, Proceedings, Part III

This LNCS conference 3-volume set constitutes the proceedings of the 17th International Conference on Social Networks Analysis and Mining, ASONAM 2025, in Niagara Falls, ON, Canada, during August 25 28, 2025.
The 32 full papers together with 33 short papers included in this volume were carefully reviewed and selected from 134 submissions. The remaining 44 papers included in these proceedings are from the following tracks and workshops: the Multidisciplinary Track, the Industrial Track, the PhD Track, FAB 2025, and FOSINT-SI 2025. 
The conference covers a wide spectrum of research contributions to the foundations and applications of social networks.

Riassunto

This LNCS conference 3-volume set constitutes the proceedings of the 17th International Conference on Social Networks Analysis and Mining, ASONAM 2025, in Niagara Falls, ON, Canada, during August 25–28, 2025.
The 32 full papers together with 33 short papers included in this volume were carefully reviewed and selected from 134 submissions. The remaining 44 papers included in these proceedings are from the following tracks and workshops: the Multidisciplinary Track, the Industrial Track, the PhD Track, FAB 2025, and FOSINT-SI 2025. 
The conference covers a wide spectrum of research contributions to the foundations and applications of social networks.

Dettagli sul prodotto

• Con la collaborazione di: Aijun An (Editore), Alfredo Cuzzocrea (Editore), Hongxin Hu (Editore)
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 28.02.2026
• EAN: 9783032141064
• ISBN: 978-3-0-3214106-4
• Pagine: 560
• Illustrazioni: XXXV, 560 p. 170 illus.
• Serie: Lecture Notes in Computer Science
• Categorie: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Software applicativo; Social Media, machine learning, Maschinelles Lernen, Datenbanken, Natürliche Sprachen und maschinelle Übersetzung, disinformation, Radicalization, social network analysis, Computer and Information Systems Applications, Extremism, Natural Language Processing (NLP), Data Analysis and Big Data, Large Language Models, multi-agents, Adversarial Attacks, Community Tracking, Recommendation Network, Homogeneous Networks, Dynamic Graph Clustering, Deep Graph Representation Learning, Obfuscated Shilling Attack, Dynamic Graphs, Fake Profiles Detection, Line Graphs