September 5, 2025
NodeXL Academy offers a free 90 minute virtual event to demonstrate the use of NodeXL for teaching networks and social media analysis. No coding required. If you can make a pie chart you can now make a network chart in with NodeXL. Gain quick insights into the influencers and. Market segmentation in a social media discussion stream. Automated analysis and visualizations that are published as a web based interactive dashboard. See: https://smrfoundation.org
Free ebook: https://nodexl.com/shop
Sample dashboard:
https://app.powerbi.com/view?r=eyJrIjoiNzZlN2EwNTYtNGUwMS00NmZhLTgyOGEtNjZiZmVmOTllYzNlIiwidCI6IjI5ZDRjMTFjLTA1N2MtNDg3Zi04ZmRhLWU4NmQ1OTkzOWU2NCIsImMiOjZ9
NodeXL Academy offers a free 90 minute virtual event to demonstrate the use of NodeXL for teaching networks and social media analysis. No coding required. If you can make a pie chart you can now make a network chart in with NodeXL. Gain quick insights into the influencers and. Market segmentation in a social media discussion stream. Automated analysis and visualizations that are published as a web based interactive dashboard. See: https://smrfoundation.org
Free ebook: https://nodexl.com/shop
Sample dashboard:
https://app.powerbi.com/view?r=eyJrIjoiNzZlN2EwNTYtNGUwMS00NmZhLTgyOGEtNjZiZmVmOTllYzNlIiwidCI6IjI5ZDRjMTFjLTA1N2MtNDg3Zi04ZmRhLWU4NmQ1OTkzOWU2NCIsImMiOjZ9
www.smrfoundation.org
The home of NodeXL | Your Social Network Analysis Tool for Social Media
The SMR Foundation supports social network analysis (SNA) tools that enable the collection, analysis and visualization of social media data.
👍1
📄 Pattern detection in bipartite networks: A review of terminology, applications, and methods
🗓 Publish year: 2024
📔Journal: PLOS Complex Systems
🧑💻Authors: Zachary P. Neal,Annabell Cadieux,Diego Garlaschelli,...
🏢Universities: Michigan State University & University of Vermont & Arizona State University, , USA - Halle, Germany - Leiden University, Italy
📎 Study paper
⚡️Channel: @ComplexNetworkAnalysis
#review #bipartite
🗓 Publish year: 2024
📔Journal: PLOS Complex Systems
🧑💻Authors: Zachary P. Neal,Annabell Cadieux,Diego Garlaschelli,...
🏢Universities: Michigan State University & University of Vermont & Arizona State University, , USA - Halle, Germany - Leiden University, Italy
📎 Study paper
⚡️Channel: @ComplexNetworkAnalysis
#review #bipartite
👍1
📃Systematic Review of Graph Neural Network for Malicious Attack Detection
🗓 Publish year: 2025
📘Journal: Information (I.F=2.9 )
🧑💻Authors: Sarah Mohammed Alshehri , Sanaa Abdullah Sharaf and Rania Abdullrahman Molla
🏢Universities: King Abdulaziz University, Jeddah 21589, Saudi Arabia.
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #GNN #Malicious #Attack #review
🗓 Publish year: 2025
📘Journal: Information (I.F=2.9 )
🧑💻Authors: Sarah Mohammed Alshehri , Sanaa Abdullah Sharaf and Rania Abdullrahman Molla
🏢Universities: King Abdulaziz University, Jeddah 21589, Saudi Arabia.
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #GNN #Malicious #Attack #review
👍1
📹 Introduction to Graph Machine Learning: Methods and Applications
💥 Jundong Li, Associate Professor, University of Virginia
🎞 Watch
⚡️Channel: @ComplexNetworkAnalysis
#video #graph_machine_learning
💥 Jundong Li, Associate Professor, University of Virginia
🎞 Watch
⚡️Channel: @ComplexNetworkAnalysis
#video #graph_machine_learning
YouTube
Introduction to Graph Machine Learning: Methods and Applications
To get the slides and a certificate of completion, go to https://academy.isdsa.org/moodle/course/view.php?id=26
Graph-structured data is central to many real-world problems, encompassing domains such as recommender systems, social network analysis, and computational…
Graph-structured data is central to many real-world problems, encompassing domains such as recommender systems, social network analysis, and computational…
👍2