π Analysis of Biological Networks
π Study the book
π±Channel: @ComplexNetworkAnalysis
#book #Biological_Networks
π Study the book
π±Channel: @ComplexNetworkAnalysis
#book #Biological_Networks
πLink Prediction on Complex Networks: An Experimental Survey
πJournal: DATA SCIENCE AND ENGINEERING
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Link_Prediction #survey
πJournal: DATA SCIENCE AND ENGINEERING
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Link_Prediction #survey
π2
πA Survey on Network Embedding
πJournal: IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING(I.F=9.235)
πPublish year: 2017
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Embedding #survey
πJournal: IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING(I.F=9.235)
πPublish year: 2017
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Embedding #survey
πCentrality Analysis Methods for Biological Networks and Their Application to Gene Regulatory Networks
πJournal: SAGE(I.F=1.356)
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #centrality #Biological_Networks #Gene_Regulatory_Networks
πJournal: SAGE(I.F=1.356)
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #centrality #Biological_Networks #Gene_Regulatory_Networks
π1
πNetwork analysis of multivariate data in psychological science
πJournal: Nature Reviews Methods Primers (Nat Rev Methods Primers)
πPublish year: 2021
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #psychological_science
πJournal: Nature Reviews Methods Primers (Nat Rev Methods Primers)
πPublish year: 2021
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #psychological_science
π Machine Learning with Graphs: Traditional Feature-based Methods
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
π»Codes: code1 code2
π²Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning #code #python
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
π»Codes: code1 code2
π²Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning #code #python
YouTube
Stanford CS224W: ML with Graphs | 2021 | Lecture 2.1 - Traditional Feature-based Methods: Node
For more information about Stanfordβs Artificial Intelligence professional and graduate programs, visit: https://stanford.io/2ZnSo2T
Traditional Feature-based Methods: Node-level features
Jure Leskovec
Computer Science, PhD
Starting from this video, weβllβ¦
Traditional Feature-based Methods: Node-level features
Jure Leskovec
Computer Science, PhD
Starting from this video, weβllβ¦
π3
πHandbook of Graph Drawing and Visualization
π₯Free Book by Roberto Tamassia
π Study the book
π²Channel: @ComplexNetworkAnalysis
#book #Graph
π₯Free Book by Roberto Tamassia
π Study the book
π²Channel: @ComplexNetworkAnalysis
#book #Graph
π3
Network Analysis in the Social Sciences.pdf
167.2 KB
πNetwork Analysis in the Social Sciences
πJournal: SCIENCE (I.F=47.728)
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_Sciences
πJournal: SCIENCE (I.F=47.728)
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_Sciences
πNine quick tips for analyzing network data
πJournal: PLoS Comput Biol (I.F=4.475)
πPublish year: 2019
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
πJournal: PLoS Comput Biol (I.F=4.475)
πPublish year: 2019
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
π3
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