π Network Analysis: Methodological Foundations
π Download the ebook
π²Channel: @ComplexNetworkAnalysis
#ebook
π Download the ebook
π²Channel: @ComplexNetworkAnalysis
#ebook
π Power law and scale-free networks.
π₯Free recorded Lecture by Prof. Leonid Zhukov, Ilya Makarov.
π₯Power law distribution. Scale-free networks.Pareto distribution, normalization, moments. Zipf law. Rank-frequency plot.
π½ Watch
πLecture
π²Channel: @ComplexNetworkAnalysis
#video #Lecture
π₯Free recorded Lecture by Prof. Leonid Zhukov, Ilya Makarov.
π₯Power law distribution. Scale-free networks.Pareto distribution, normalization, moments. Zipf law. Rank-frequency plot.
π½ Watch
πLecture
π²Channel: @ComplexNetworkAnalysis
#video #Lecture
YouTube
Lecture 2. Power law and scale-free networks.
Network Science 2021 @ HSE
https://www.leonidzhukov.net/hse/2021/networks/
https://www.leonidzhukov.net/hse/2021/networks/
πA Survey of Link Prediction in Complex Networks
πPublish year: 2016
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Survey #linkprediction
πPublish year: 2016
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Survey #linkprediction
πComplex Networks in Manufacturing and Logistics: A Retrospect
π Book: Dynamics in Logistics
πPublish year: 2021
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
π Book: Dynamics in Logistics
πPublish year: 2021
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
πA complex network approach to time series analysis with application in diagnosis of neuromuscular disorders
πPublish year: 2021
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
πPublish year: 2021
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
π1
Forwarded from Bioinformatics
π¬Introduction to Biological Network Analysis
π©βπ«Mini Courses from Donna Slonim at Tufts University
Session 1: Network Basics and Properties
Session 2: From Graphs to Function
Session 3: Identifying Network Modules
Session 4: Network Alignment and Querying
π²Channel: @Bioinformatics
π©βπ«Mini Courses from Donna Slonim at Tufts University
Session 1: Network Basics and Properties
Session 2: From Graphs to Function
Session 3: Identifying Network Modules
Session 4: Network Alignment and Querying
π²Channel: @Bioinformatics
π Seven-Layer Model in Complex Networks Link Prediction: A Survey
πJournal: Sensors (I.F=3.576)
πPublish year: 2020
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #survey #linkprediction
πJournal: Sensors (I.F=3.576)
πPublish year: 2020
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #survey #linkprediction
π Introduction to Social Network Analysis [4/5]: Graph Interpretation
π₯Free recorded workshop by Martin Grandjean (UniversitΓ© de Lausanne) at the Conference HNR+ResHist2021 Conference "Historical Networks - RΓ©seaux Historiques - Historische Netzwerke co-organised by HNR and ResHist.
π½ Watch
π²Channel: @ComplexNetworkAnalysis
#video #workshop
π₯Free recorded workshop by Martin Grandjean (UniversitΓ© de Lausanne) at the Conference HNR+ResHist2021 Conference "Historical Networks - RΓ©seaux Historiques - Historische Netzwerke co-organised by HNR and ResHist.
π½ Watch
π²Channel: @ComplexNetworkAnalysis
#video #workshop
YouTube
Introduction to Social Network Analysis [4/5]: Graph Interpretation
Workshop by Martin Grandjean (UniversitΓ© de Lausanne) at the Conference HNR+ResHist2021 Conference "Historical Networks - RΓ©seaux Historiques - Historische Netzwerke co-organised by HNR and ResHist.
The script is available here: https://doi.org/10.5281/zenodo.5083036β¦
The script is available here: https://doi.org/10.5281/zenodo.5083036β¦
π Network analysis of protein interaction data
π₯Free course From EMBL-EBI
π₯This course provides an introduction to the theory and concepts of network analysis. It explores some of the features of protein-protein interaction networks and their implications for biology. Finally, the course discusses the tools and strategies that can be used to build and analyse biological networks.
πStudy course
π²Channel: @ComplexNetworkAnalysis
#course
π₯Free course From EMBL-EBI
π₯This course provides an introduction to the theory and concepts of network analysis. It explores some of the features of protein-protein interaction networks and their implications for biology. Finally, the course discusses the tools and strategies that can be used to build and analyse biological networks.
πStudy course
π²Channel: @ComplexNetworkAnalysis
#course
π4
π Random graphs
π₯Free recorded Lecture by Prof. Leonid Zhukov, Ilya Makarov.
π₯Erdos-Reni random graph model. Poisson and Bernulli distributions. Distribution of node degrees. Phase transition, gigantic connected component. Diameter and cluster coefficient. Configuration model.
π½ Watch
π Lecture
π²Channel: @ComplexNetworkAnalysis
#video #Lecture
π₯Free recorded Lecture by Prof. Leonid Zhukov, Ilya Makarov.
π₯Erdos-Reni random graph model. Poisson and Bernulli distributions. Distribution of node degrees. Phase transition, gigantic connected component. Diameter and cluster coefficient. Configuration model.
π½ Watch
π Lecture
π²Channel: @ComplexNetworkAnalysis
#video #Lecture
YouTube
Lecture 3. Random graphs.
Network Science 2021 @ HSE
https://www.leonidzhukov.net/hse/2021/networks/
https://www.leonidzhukov.net/hse/2021/networks/
2019_complex_networks_in_software_knowledge_and_social_systems.pdf
11.1 MB
πComplex Networks in Software, Knowledge, and Social Systems
π±Channel: @ComplexNetworkAnalysis
#book #social_system
π±Channel: @ComplexNetworkAnalysis
#book #social_system
πThe igraph software package for complex network research
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #igraph
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #igraph
π2
πOn community structure in complex networks: challenges and opportunities
πJournal: Applied Network Science volume (I.F=2.65)
πPublish year: 2019
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
πJournal: Applied Network Science volume (I.F=2.65)
πPublish year: 2019
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
π1
πSocial Network Analysis Visualization Tools: A Comparative Review
πConference: 2020 IEEE 23rd International Multitopic Conference (INMIC)
πPublish year: 2020
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #review
πConference: 2020 IEEE 23rd International Multitopic Conference (INMIC)
πPublish year: 2020
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #review
π2
Forwarded from Bioinformatics
πApplication of social network analysis to COVID-19 data
π Read the paper
π²Channel: @Bioinformatics
π Read the paper
π²Channel: @Bioinformatics
π1
2021_A_Review_on_Social_Network_Analysis_Methods_and_Algorithms.pdf
4 MB
πA Review on Social Network Analysis Methods and Algorithms
πConference: 13th International Conference on Computational Intelligence and Communication Networks
πPublish year: 2021
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #review
πConference: 13th International Conference on Computational Intelligence and Communication Networks
πPublish year: 2021
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #review
πThe functional complex network approach to foster forest resilience to global changes
πJournal: Forest Ecosystems (I.F=3.645)
πPublish year: 2019
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
πJournal: Forest Ecosystems (I.F=3.645)
πPublish year: 2019
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
πDynamic Properties of Foreign Exchange Complex Network
πJournal: Mathematics (I.F=1.42)
πPublish year: 2019
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
πJournal: Mathematics (I.F=1.42)
πPublish year: 2019
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
π1
πNetwork approaches for modeling the effect of drugs and diseases
πJournal: Briefings in Bioinformatics (I.F=11.9)
πPublish year: 2022
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
πJournal: Briefings in Bioinformatics (I.F=11.9)
πPublish year: 2022
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper