📃 Social network analysis in agricultural economics: progress, challenges and prospects of an integrated methodology
📗 Journal: China Agricultural Economic Review (I.F.=5.6 - Q1)
🗓 Publish year: 2025
🧑💻Authors: Rui Mao, Yu Gan, Xiaohua Yu
🏢University: Zhejiang University, China - University of Gottingen, Germany
📎 Study the paper
⚡️Channel: @ComplexNetworkAnalysis
#review #agriculture #economics
📗 Journal: China Agricultural Economic Review (I.F.=5.6 - Q1)
🗓 Publish year: 2025
🧑💻Authors: Rui Mao, Yu Gan, Xiaohua Yu
🏢University: Zhejiang University, China - University of Gottingen, Germany
📎 Study the paper
⚡️Channel: @ComplexNetworkAnalysis
#review #agriculture #economics
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📽 Graph Embedding in practice
🎞 Watch part 1
🎞 Watch part 2
⚡️Channel: @ComplexNetworkAnalysis
#video #emebdding
🎞 Watch part 1
🎞 Watch part 2
⚡️Channel: @ComplexNetworkAnalysis
#video #emebdding
YouTube
Mining Complex Networks - Chapter 6 (part 1/2) - Graph Embeddings
@MiningComplexNetworks
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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: http://smrfoundation.org
Free ebook: http://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: http://smrfoundation.org
Free ebook: http://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…
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📑 Visibility graph analysis for educational data
🗓 Publish year: 2025
📕Journal: Scientific Reports (I.F. = 3.2)
🧑💻Authors: Hadis Azizi, Mohammad Sadra Amini, Sadegh Sulaimany & Aso Mafakheri
🏢University: Social and Biological Network Analysis Laboratory (SBNA), University of Kurdistan, Iran
📎 Study paper
⚡️Channel: @ComplexNetworkAnalysis
#review #educational_data #visibility_graph
🗓 Publish year: 2025
📕Journal: Scientific Reports (I.F. = 3.2)
🧑💻Authors: Hadis Azizi, Mohammad Sadra Amini, Sadegh Sulaimany & Aso Mafakheri
🏢University: Social and Biological Network Analysis Laboratory (SBNA), University of Kurdistan, Iran
📎 Study paper
⚡️Channel: @ComplexNetworkAnalysis
#review #educational_data #visibility_graph
👍2❤1🔥1
📄 Interpretable graph-based models on multimodal biomedical data integration: A technical review and benchmarking
🗓 Publish year: 2025
🧑💻Authors: Alireza Sadeghi, Farshid Hajati, Ahmadreza Argha, ...
🏢Universities: Clemson University, USA - University of New England & UNSW Sydney, Australia - Chinese Academy of Sciences, China.
📎 Study paper
⚡️Channel: @ComplexNetworkAnalysis
#review #multimodal #biomedical #interpretable #graph_machine_learning #explainability
🗓 Publish year: 2025
🧑💻Authors: Alireza Sadeghi, Farshid Hajati, Ahmadreza Argha, ...
🏢Universities: Clemson University, USA - University of New England & UNSW Sydney, Australia - Chinese Academy of Sciences, China.
📎 Study paper
⚡️Channel: @ComplexNetworkAnalysis
#review #multimodal #biomedical #interpretable #graph_machine_learning #explainability
👍2
📃 A Survey of Link Prediction in Temporal Networks
🗓 Publish year: 2025
🧑💻Authors: Jiafeng Xiong, Ahmad Zareie and Rizos Sakellariou
🏢Universities: University of Manchester & University of Sheffield, UK
📎 Study paper
⚡️Channel: @ComplexNetworkAnalysis
#review #link_prediction #temporal
🗓 Publish year: 2025
🧑💻Authors: Jiafeng Xiong, Ahmad Zareie and Rizos Sakellariou
🏢Universities: University of Manchester & University of Sheffield, UK
📎 Study paper
⚡️Channel: @ComplexNetworkAnalysis
#review #link_prediction #temporal
👍2
📹 Mathematical Models of Social Connectivity: The Role of Transitivity and Clustering
🎞 Watch
⚡️Channel: @ComplexNetworkAnalysis
#video #clustering_coefficeint #transitivity
🎞 Watch
⚡️Channel: @ComplexNetworkAnalysis
#video #clustering_coefficeint #transitivity
YouTube
Mathematical Models of Social Connectivity: The Role of Transitivity and Clustering
This lecture explains the fundamental concepts of transitivity, global and local clustering coefficients, and structural holes in social network analysis. Using intuitive explanations and practical social media examples, the video explains how these measures…
👍1
📑 Deep graph anomaly detection: A survey and new perspectives
🗓 Publish year: 2025
📗Journal: IEEE Transactions on Knowledge and Data Engineering (I.F. = 10.4)
🧑💻Authors: Hezhe Qiao, Hanghang Tong, Bo An, ...
🏢Universities: Singapore Management University, University of Illinois at Urbana-Champaign, Nanyang Technological University, ...
📎 Study paper
⚡️Channel: @ComplexNetworkAnalysis
#review #anomaly #deep
🗓 Publish year: 2025
📗Journal: IEEE Transactions on Knowledge and Data Engineering (I.F. = 10.4)
🧑💻Authors: Hezhe Qiao, Hanghang Tong, Bo An, ...
🏢Universities: Singapore Management University, University of Illinois at Urbana-Champaign, Nanyang Technological University, ...
📎 Study paper
⚡️Channel: @ComplexNetworkAnalysis
#review #anomaly #deep
👍1
Forwarded from Bioinformatics
📑 A Survey of Graph Neural Networks for Drug Discovery: Recent Developments and Challenges
🗓Publish year: 2025
🧑💻Authors: Katherine Berry and Liang Cheng
🏢University: University of Toledo, USA
📎 Study the paper
📲Channel: @Bioinformatics
#review #gnn #drug
🗓Publish year: 2025
🧑💻Authors: Katherine Berry and Liang Cheng
🏢University: University of Toledo, USA
📎 Study the paper
📲Channel: @Bioinformatics
#review #gnn #drug
👍2