Network Analysis Resources & Updates
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📄Implementation and Understanding of Graph Neural Networks(GNN)
💥Technical paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #GNN #code #PyTorch
🎞 Conducting Network Analysis in R
💥Free recorded webinar
🔹This webinar, which is sponsored by the AED Early Career Special Interest Group (SIG), will provide guidance on how network analysis is a statistical approach that allows for the examination of how components of a network are related to one another.In this webinar, Dr. Cheri Levinson and her advanced graduate student Ms. Irina Vanzhula will provide a brief overview on network theory and analysis. They will then demonstrate how to conduct network analysis in R using sample data.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #R
📄Complex Networks: Erdős–Rényi Model, Centralities, Random Regular Graph
💥Complex Networks are traditionally studied in the context of Graph theory, and identify important nodes and edges with the notions of centrality.
💥free online site to visualize, test and see different metrics in complex network.
📎 Link
📲Channel: @ComplexNetworkAnalysis
#paper #Centralities
📄Application of Association Rule Mining and Social Network Analysis for Understanding Causality of Construction Defects
📘Journal: SUSTAINABILITY(I.F=3.889)
🗓Publish year: 2019
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Application #Causality #Defects
📄A Review of Complex Systems Approaches to Cancer Networks
📘Journal: Complex Systems
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #cancer #review
🎞 Machine Learning with Graphs: Traditional Feature-based Methods
💥Free recorded course by Jure Leskovec, Computer Science, PhD
💥In this lecture they focus on how to represent graphs as matrices and discuss subsequent properties that can explore. then define the notion of PageRank, further explore Random Walks, and introduce Matrix Factorization as a perspective for generating node embeddings.
📽 Watch: part1 part2 part3 part4
📜 Slides
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning
🎞 Eric Ma: Network Analysis Made Simple
💥Free recorded tutorial
🔹Have you ever wondered about how data scientists at Facebook and LinkedIn make friend recommendations? Or how epidemiologists track down patient zero in an outbreak? If so, then this tutorial is for you. In this tutorial, will use a variety of datasets to help you understand the fundamentals of network thinking, with a particular focus on constructing, summarizing, visualizing, and using complex networks to solve problems
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video
📄Graph Theoretical Analysis of Brain Network Characteristics in Brain Tumor Patients: A Systematic Review
📘Journal: Neuropsychology Review (I.F= 6.75)
🗓Publish year: 2021
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Brain #Review
📄Basics on network theory to analyze biological systems: a hands-on outlook
📘Journal: Functional & Integrative Genomics (I.F= 3.41)
🗓Publish year: 2022
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #biological_network
📝Booklet: Structure and Dynamics of Information in Networks
💥David Kempe, Department of Computer Science, University of Southern California
🗓Publish year: 2021
📎Study Booklet
📱Channel: @ComplexNetworkAnalysis
#Booklet #Structure #Dynamics #Information
📑 Structure and Dynamics of Information in Networks
📔Booklet: David Kempe, 2021
📎Study Booklet
📱Channel: @ComplexNetworkAnalysis
#Booklet #Structure #Dynamics #Information
📄Graph neural networks for affective social media: A comprehensive overview
📘Conference: THECOG
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #social_media #overview
📄A Complex Network Perspective on Clinical Science
📘Journal: PERSPECTIVES ON PSYCHOLOGICAL SCIENCE (I.F=11.621)
🗓Publish year: 2016
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Clinical_Science
📄A Complex Network Perspective on Clinical Science
📘Journal: PERSPECTIVES ON PSYCHOLOGICAL SCIENCE (I.F=11.621)
🗓Publish year: 2016
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Clinical_Science
🎞 How to Analyze Social Media Networks with Kumu and NodeXL
💥Free recorded tutorial
🔹NodeXL and Kumu are two powerful free tools for social network analysis. NodeXL is excellent for gathering social media data but it is more challenging (for beginners) to generate understandable visualizations. Kumu on the other hand is an excellent tool for social network analysis, but you can't collect social media data using the tool. Here's how to combine the two together
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Kumu #NodeXL
📄Critical Review of Social Network Analysis Applications in Complex Project Management
📘Journal: JOURNAL OF MANAGEMENT IN ENGINEERING (I.F=6.415)
🗓Publish year: 2018
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Applications #Project #Management #review
📄The network approach to psychopathology: a review of the literature 2008–2018 and an agenda for future research
📘Journal: PSYCHOLOGICAL MEDICINE (I.F=10.592)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #psychopathology #review
📄Complex network analysis of keywords co-occurrence in the recent efficiency analysis literature
📘Journal: Scientometrics (I.F= 3.238)
🗓Publish year: 2019
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Co_occurrence_network
📄Complex networks analysis in Iran stock market: The application of centrality
📘Journal: Physica A: Statistical Mechanics and its Applications (I.F= 3.263)
🗓Publish year: 2019
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #centrality
📄Complex Network Analysis for Knowledge Management and Organizational Intelligence
📘Journal: Journal of the Knowledge Economy (I.F= 2.11)
🗓Publish year: 2020
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Management
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