π Network Analysis
π₯Free recorded lectures
πΉ(1) Theory and Concept
πΉ(2) Practice Using igraph and Gephi
π½ Watch: part1 part2
π²Channel: @ComplexNetworkAnalysis
#video #lecture #Gephi #igraph
π₯Free recorded lectures
πΉ(1) Theory and Concept
πΉ(2) Practice Using igraph and Gephi
π½ Watch: part1 part2
π²Channel: @ComplexNetworkAnalysis
#video #lecture #Gephi #igraph
YouTube
Network Analysis (1) Theory and Concept
This video is for the Network analysis and visualization workshop organized at the Virtual Annual Conference of Comparative and International Education Society 2020 (vCIES 2020) in April 2020.
This lecture is designed for beginners to learn from conceptβ¦
This lecture is designed for beginners to learn from conceptβ¦
π3π1
Centrality in affiliation networks.pdf
1.9 MB
πCentrality in affiliation networks
πJournal: Social Networks(I.F=3.406)
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #centrality
πJournal: Social Networks(I.F=3.406)
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #centrality
πSocial Network Analysis: βHow to guideβ
πPublish year: 2016
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_Network
πPublish year: 2016
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_Network
Forwarded from Bioinformatics
πA systematic survey of centrality measures for protein-protein interaction networks
πJournal: BMC Systems Biology
πPublish year: 2018
π Study the paper
π²Channel: @Bioinformatics
#review #ppi #centrality
πJournal: BMC Systems Biology
πPublish year: 2018
π Study the paper
π²Channel: @Bioinformatics
#review #ppi #centrality
π2
π Network Analysis
π₯Free recorded webinar by Valentina Kuskova, PhD, academic supervisor of HSE University's online Master of Data & Network Analytics (MDNA) degree program
π½ Watch
π²Channel: @ComplexNetworkAnalysis
#video #webinar
π₯Free recorded webinar by Valentina Kuskova, PhD, academic supervisor of HSE University's online Master of Data & Network Analytics (MDNA) degree program
π½ Watch
π²Channel: @ComplexNetworkAnalysis
#video #webinar
YouTube
What is Network Analysis?
Network science is becoming increasingly in demand in the business field. Despite high demand of network analysts, there are very few degree programs in the world that systematically teach network analysis. That's where the new online Master of Data and Networkβ¦
π1
πNetwork analysis with biological data of cancer patients: A scoping review
πJournal: Journal of Biomedical Informatics (I.F=8)
πPublish year: 2021
πStudy the paper
π±Channel: @ComplexNetworkAnalysis
#paper #review #biological #cancer
πJournal: Journal of Biomedical Informatics (I.F=8)
πPublish year: 2021
πStudy the paper
π±Channel: @ComplexNetworkAnalysis
#paper #review #biological #cancer
π1
π Social Network Analysis of Signed Networks with Reddit and Twitter data
π₯Free recorded Bootcamp
π₯Social Media Labβs Computational Social Science (CSS) Bootcamp (Summer 2021 Edition) to learn how to use Communalytic, a new research tool designed to study online communities and online discourse.
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Reddit_data #Twitter_data
π₯Free recorded Bootcamp
π₯Social Media Labβs Computational Social Science (CSS) Bootcamp (Summer 2021 Edition) to learn how to use Communalytic, a new research tool designed to study online communities and online discourse.
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Reddit_data #Twitter_data
YouTube
Social Network Analysis of Signed Networks with Reddit and Twitter data
Join us for the Social Media Labβs Computational Social Science (CSS) Bootcamp (Summer 2021 Edition) to learn how to use Communalytic, a new research tool designed to study online communities and online discourse. Communalytic can collect and analyze publicβ¦
π1
πNetwork Representation Learning: A Survey
πJournal: JOURNAL OF BIOMEDICAL INFORMATICSIEEE Transactions on Big Data (I.F=4.271)
πPublish year: 2018
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Representation #survey
πJournal: JOURNAL OF BIOMEDICAL INFORMATICSIEEE Transactions on Big Data (I.F=4.271)
πPublish year: 2018
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Representation #survey
2016_Combining complex networks and data mining Why and how.pdf
7.7 MB
πCombining complex networks and data mining: Why and how
πJournal: PHYSICS REPORTS (I.F=30.51)
πPublish year: 2016
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #data_mining
πJournal: PHYSICS REPORTS (I.F=30.51)
πPublish year: 2016
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #data_mining
π2
π Dmitry Zinoviev - Complex networks and their analysis in Python | Literary Festival 2021
π₯Free recorded talk by Dmitry Zinoviev's titled Complex networks and their analysis in Python
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video
π₯Free recorded talk by Dmitry Zinoviev's titled Complex networks and their analysis in Python
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video
YouTube
Dmitry Zinoviev - Complex networks and their analysis in Python | Literary Festival 2021
Watch Dmitry Zinoviev's talk titled Complex networks and their analysis in Python, filmed during the codebar Literary Festival in collaboration with The Pragmatic Bookshelf on Wednesday 23rd June 2021.
- Follow Dmitry β‘οΈ https://twitter.com/aqsaqal
- Dmitry'sβ¦
- Follow Dmitry β‘οΈ https://twitter.com/aqsaqal
- Dmitry'sβ¦
π3
πTemporal Link Prediction: A Unified Framework, Taxonomy, and Review
πJournal: Social and Information Networks
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Link_Prediction #Taxonomy #review
πJournal: Social and Information Networks
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Link_Prediction #Taxonomy #review
2020_Interactively_Visualize_and_Analyze_Social_Network_Gephi.pdf
2.4 MB
πInteractively Visualize and Analyze Social Network Gephi
πConference : 2020 3rd International Conference on Computing, Mathematics and Engineering Technologies
πPublish year: 2020
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Gephi #Social_Network
πConference : 2020 3rd International Conference on Computing, Mathematics and Engineering Technologies
πPublish year: 2020
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Gephi #Social_Network
π1
π Machine Learning with Graphs: Node Embeddings
π₯Free recorded course by Jure Leskovec, Computer Science, PhD
π₯Traditional Feature-based Methods: Node-level features ,Link-level features ,Graph-level features
π½ Watch: part1 part2 part3
π Slides
π²Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning
π₯Free recorded course by Jure Leskovec, Computer Science, PhD
π₯Traditional Feature-based Methods: Node-level features ,Link-level features ,Graph-level features
π½ Watch: part1 part2 part3
π Slides
π²Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning
YouTube
Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 3.1 - Node Embeddings
For more information about Stanfordβs Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3Cv1BEU
Jure Leskovec
Computer Science, PhD
From previous lectures we see how we can use machine learning with feature engineeringβ¦
Jure Leskovec
Computer Science, PhD
From previous lectures we see how we can use machine learning with feature engineeringβ¦
πGraph Anomaly Detection with Graph Neural Networks: Current Status and Challenges
πJournal: IEEE Access (I.F=3.476)
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Anomaly_Detection #Challenges
πJournal: IEEE Access (I.F=3.476)
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Anomaly_Detection #Challenges
πSocial Network Analysis Visualization Tools: A Comparative Review
πConference: 2020 IEEE 23rd International Multitopic Conference (INMIC)
πPublish year: 2021
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_network #Review #Tools
πConference: 2020 IEEE 23rd International Multitopic Conference (INMIC)
πPublish year: 2021
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_network #Review #Tools
2018_Social_network_analysis_Characteristics_of_online_social_networks.pdf
1.8 MB
πSocial network analysis: Characteristics of online social networks after a disaster
πJournal: International Journal of Information Management (I.F=14.098)
πPublish year: 2018
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_network
πJournal: International Journal of Information Management (I.F=14.098)
πPublish year: 2018
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_network
2017-Efficiency assessment using network analysis tools.pdf
2.7 MB
πEfficiency assessment using network analysis tools
πJournal: Journal of the Operational Research Society (I.F=2.175)
πPublish year: 2017
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #tools
πJournal: Journal of the Operational Research Society (I.F=2.175)
πPublish year: 2017
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #tools
2020_Social_network_analysis_organizational_implications_in_tourism.pdf
146.9 KB
πSocial network analysis: organizational implications in tourism management
πJournal: Social network
analysis (I.F=4.144)
πPublish year: 2021
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_network
πJournal: Social network
analysis (I.F=4.144)
πPublish year: 2021
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_network
2020_Italian_tourism_intermediaries_a_social_network_analysis_exploration.pdf
1.8 MB
πItalian tourism intermediaries: a social network analysis exploration
πJournal: Current Issues in Tourism
πPublish year: 2020
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_network
πJournal: Current Issues in Tourism
πPublish year: 2020
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_network
Social network analysis A methodological introduction.pdf
330 KB
πSocial network analysis: A methodological introduction
πJournal: Asian Journal of Social Psychology (I.F= 1.424)
π₯Abstract: Social network analysis is a large and growing body of research on the measurement and analysis of relational structure. Here, we review the fundamental concepts of network analysis, as well as a range of methods currently used in the field. Issues pertaining to data collection, analysis of single networks, network comparison, and analysis of individual-level covariates are discussed, and a number of suggestions are made for avoiding common pitfalls in the application of network methods to substantive questions.
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_network
πJournal: Asian Journal of Social Psychology (I.F= 1.424)
π₯Abstract: Social network analysis is a large and growing body of research on the measurement and analysis of relational structure. Here, we review the fundamental concepts of network analysis, as well as a range of methods currently used in the field. Issues pertaining to data collection, analysis of single networks, network comparison, and analysis of individual-level covariates are discussed, and a number of suggestions are made for avoiding common pitfalls in the application of network methods to substantive questions.
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_network
π2