π Perform social network analysis in R Tutorial
π₯Free recorded Tutorial by Professor Leonid Zhukov, School of Data Analysis and Artificial Intelligence
π½ Watch
π» Data
π²Channel: @ComplexNetworkAnalysis
#video #Tutorial #social_networks #R #code
π₯Free recorded Tutorial by Professor Leonid Zhukov, School of Data Analysis and Artificial Intelligence
π½ Watch
π» Data
π²Channel: @ComplexNetworkAnalysis
#video #Tutorial #social_networks #R #code
YouTube
Perform social network analysis in R Tutorial
This tutorial outlines how to perform social network analysis in r. Social network analysis is the process of investigating social structures through the use of networks and graph theory. It characterizes networked structures in terms of nodes and the tiesβ¦
πA Graph Theory Based Systematic Literature Network Analysis
πJournal: Theoretical Economics Letters
πPublish year: 2018
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Graph_Theory #Systematic #Literature
πJournal: Theoretical Economics Letters
πPublish year: 2018
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Graph_Theory #Systematic #Literature
2020_Network_Analysis_as_a_Computational_Technique_and_Its_Benefaction.pdf
1.4 MB
πNetwork Analysis as a Computational Technique and Its Benefaction for Predictive Analysis of Healthcare Data: A Systematic Review
πJournal: Archives of Computational Methods in Engineering (I.F=8.171)
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Computational #Benefaction #Predictive #Healthcare #Systematic #Review
πJournal: Archives of Computational Methods in Engineering (I.F=8.171)
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Computational #Benefaction #Predictive #Healthcare #Systematic #Review
π Knowledge Graphs
πJournal: ACM Computing Surveys(I.F.=14.324)
πPublish year: 2021
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Survey #Knowledge_Graphs
πJournal: ACM Computing Surveys(I.F.=14.324)
πPublish year: 2021
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Survey #Knowledge_Graphs
π₯2
2021_Graph_Signal_Processing,_Graph_Neural_Network_and_Graph_Learning.pdf
3.9 MB
πGraph Signal Processing, Graph Neural Network and Graph Learning on Biological Data: A Systematic Review
πJournal: IEEE REVIEWS IN BIOMEDICAL ENGINEERING (I.F=7.073)
πPublish year: 2021
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Graph_Signal_Processing #Graph_Neural_Network #Graph_Learning #Biological #Review
πJournal: IEEE REVIEWS IN BIOMEDICAL ENGINEERING (I.F=7.073)
πPublish year: 2021
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Graph_Signal_Processing #Graph_Neural_Network #Graph_Learning #Biological #Review
πCommunity Detection Algorithms in Healthcare Applications: A Systematic Review
πJournal: IEEE Access (I.F=3.476)
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Community_Detection #Healthcare #Applications #Review
πJournal: IEEE Access (I.F=3.476)
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Community_Detection #Healthcare #Applications #Review
π₯2
2019-A review Knowledge reasoning over knowledge graph.pdf
2.2 MB
π A review: Knowledge reasoning over knowledge graph
πJournal: ACM Computing Surveys(I.F.=8.665)
πPublish year: 2019
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #review #Knowledge_Graphs
πJournal: ACM Computing Surveys(I.F.=8.665)
πPublish year: 2019
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #review #Knowledge_Graphs
π2
π Structure and dynamics of core/periphery networks
πJournal: Journal of Complex Networks(I.F.=1.984)
πPublish year: 2013
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #review #periphery_networks
πJournal: Journal of Complex Networks(I.F.=1.984)
πPublish year: 2013
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #review #periphery_networks
π₯2π1
π Exploring network structure, dynamics, and function using networkx
πConference: conference: Exploring network structure, dynamics, and function using NetworkX
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #networkx
πConference: conference: Exploring network structure, dynamics, and function using NetworkX
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #networkx
π2
2020_Fraud_detection_A_systematic_literature_review_of_graph_based.pdf
1.4 MB
πFraud detection: A systematic literature review of graph-based anomaly detection approaches
πJournal: Decision Support Systems (I.F=6.969)
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Fraud #Detection #Review #graph_based #anomaly
πJournal: Decision Support Systems (I.F=6.969)
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Fraud #Detection #Review #graph_based #anomaly
πKnowledge Graphs: Opportunities and Challenges
πJournal: Artificial Intelligence Review (I.F=9.588)
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graphs #Opportunities #Challenges
πJournal: Artificial Intelligence Review (I.F=9.588)
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graphs #Opportunities #Challenges
π3
πCounterfactual Learning on Graphs: A Survey
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Counterfactual_Learning #Graphs #Survey
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Counterfactual_Learning #Graphs #Survey
π Overview of Complex Networks
π₯Free recorded Tutorial on overview of complex networks
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Tutorial #Overview
π₯Free recorded Tutorial on overview of complex networks
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Tutorial #Overview
YouTube
Overview of Complex Networks
Episode 10, Principles of Complex Systems, Spring 2013, University of Vermont.
Overview of Complex Networks.
Overview of Complex Networks.
π3
πA comparison of visualisation techniques for complex networks
πMasterβs Thesis in Computer Science Royal Institute of Technology
πPublish year: 2016
πStudy Thesis
π±Channel: @ComplexNetworkAnalysis
#Thesis #comparison #visualisation #techniques
πMasterβs Thesis in Computer Science Royal Institute of Technology
πPublish year: 2016
πStudy Thesis
π±Channel: @ComplexNetworkAnalysis
#Thesis #comparison #visualisation #techniques
π Machine Learning with Graphs: Theory of Graph Neural Networks
π₯Free recorded course by Jure Leskovec, Computer Science, PhD
π₯The topics: Introduction to Graph Neural Networks, A Single Layer of a GNN, Stacking layers of a GNN
π½ Watch: part1 part2 part3
πSlides
π»code
π²Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning #code #python
π₯Free recorded course by Jure Leskovec, Computer Science, PhD
π₯The topics: Introduction to Graph Neural Networks, A Single Layer of a GNN, Stacking layers of a GNN
π½ Watch: part1 part2 part3
πSlides
π»code
π²Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning #code #python
YouTube
Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 7.1 - A general Perspective on GNNs
For more information about Stanfordβs Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3BjIqNd
Lecture 7.1 - A General Perspective on Graph Neural Networks
Jure Leskovec
Computer Science, PhD
In this lecture, we introduceβ¦
Lecture 7.1 - A General Perspective on Graph Neural Networks
Jure Leskovec
Computer Science, PhD
In this lecture, we introduceβ¦
π5π1
π Machine learning and link prediction
π₯Free recorded Tutorial by Mark Needham & Jennifer Reif
π₯Machine learning uses algorithms to train software through specific examples and progressive improvements based on expected outcome
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Machine_learning #link_prediction
π₯Free recorded Tutorial by Mark Needham & Jennifer Reif
π₯Machine learning uses algorithms to train software through specific examples and progressive improvements based on expected outcome
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Machine_learning #link_prediction
YouTube
Machine learning and link prediction by Mark Needham & Jennifer Reif
Machine learning uses algorithms to train software through specific examples and progressive improvements based on expected outcome. However, traditional data structures can fail to detect behavior without the contextual information because they lack theβ¦
π4
πBasic and Advanced Network Visualization with Gephi
π₯Technical paper
π PDF
π» data
π²Channel: @ComplexNetworkAnalysis
#tools #Gephi
π₯Technical paper
π PDF
π» data
π²Channel: @ComplexNetworkAnalysis
#tools #Gephi
π1π―1
π Literature review on the influence of social networks
πConference: The Fifth International Conference on Social Science
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Literature #influence #review
πConference: The Fifth International Conference on Social Science
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Literature #influence #review
π2