Temporal Network Embedding Using Classical Multidimensional Scaling
Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC) via YouTube
PowerBI Data Analyst - Create visualizations and dashboards from scratch
Become an AI & ML Engineer with Cal Poly EPaCE — IBM-Certified Training
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
Explore a 30-minute lecture on temporal network embedding techniques using classical multidimensional scaling, presented by researchers from the Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC). Delve into the application of multidimensional scaling methods for analyzing and visualizing dynamic networks, gaining insights into how these techniques can be used to study complex systems that evolve over time. Learn about the mathematical foundations, implementation strategies, and potential applications of this approach in various fields such as social network analysis, biological systems, and technological networks.
Syllabus
TEMPORAL NETWORK EMBEDDING USING CLASSICAL MULTIDIMENSIONAL SCALING
Taught by
Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC)