πCut Based Method for Comparing Complex Networks
πJournal: Scientific Reports (I.F=4.379 )
πPublish year: 2018
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
πJournal: Scientific Reports (I.F=4.379 )
πPublish year: 2018
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
π1
πMetrics for graph comparison: A practitionerβs guide
πJournal: PLoS ONE (I.F=3.24)
πPublish year: 2020
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
πJournal: PLoS ONE (I.F=3.24)
πPublish year: 2020
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
πTaxonomies of networks from community structure
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
π3
πClustering Coefficients for Correlation Networks
πJournal: Frontiers in Neuroinformatics (I.F=4.757)
πPublish year: 2018
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
πJournal: Frontiers in Neuroinformatics (I.F=4.757)
πPublish year: 2018
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
π1
π Structural properties of networks
π₯Free recorded Lecture by Prof. Leonid Zhukov, Ilya Makarov.
π₯Structural and regular equivalence. Similarity metrics. Correlation coefficient and cosine similarity. Assortative mixing and homophily. Modularity. Assortativity coefficient. Mixing by node degree. Assortative and disassortative networks. Cohesive subgroups. Graph cliques. k-cores decomposition.
π½ Watch
π Lecture
π²Channel: @ComplexNetworkAnalysis
#video #Lecture
π₯Free recorded Lecture by Prof. Leonid Zhukov, Ilya Makarov.
π₯Structural and regular equivalence. Similarity metrics. Correlation coefficient and cosine similarity. Assortative mixing and homophily. Modularity. Assortativity coefficient. Mixing by node degree. Assortative and disassortative networks. Cohesive subgroups. Graph cliques. k-cores decomposition.
π½ Watch
π Lecture
π²Channel: @ComplexNetworkAnalysis
#video #Lecture
YouTube
Lecture 6. Structural properties of networks
Network Science 2021 @ HSE
http://www.leonidzhukov.net/hse/2021/networks/
http://www.leonidzhukov.net/hse/2021/networks/
π1
πNetworKit: A tool suite for large-scale complex network analysis
πJournal: Network Science
πPublish year: 2016
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #tool
πJournal: Network Science
πPublish year: 2016
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #tool
πNetwork stiffness: A new topological property in complex networks
πJournal: PLOS ONE (I.F=3.752)
πPublish year: 2019
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #topology
πJournal: PLOS ONE (I.F=3.752)
πPublish year: 2019
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #topology
π1
πCommunity Detection in Complex Networks: A Survey on Local Approaches
πConference: Asian Conference on Intelligent Information and Database Systems
πPublish year: 2021
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #survey
πConference: Asian Conference on Intelligent Information and Database Systems
πPublish year: 2021
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #survey
π1
πA review of βRandom graphs and complex networksβ by Hofstad
πJournal: Complex Adaptive Systems Modeling
πPublish year: 2017
π Study Book Review
π±Channel: @ComplexNetworkAnalysis
#paper #review
πJournal: Complex Adaptive Systems Modeling
πPublish year: 2017
π Study Book Review
π±Channel: @ComplexNetworkAnalysis
#paper #review
πIntroduction to the modeling
and analysis of complex systems: a review
πJournal: COMPLEX ADAPT SYST MODEL
πPublish year: 2016
π Study Book Review
π±Channel: @ComplexNetworkAnalysis
#paper #review
and analysis of complex systems: a review
πJournal: COMPLEX ADAPT SYST MODEL
πPublish year: 2016
π Study Book Review
π±Channel: @ComplexNetworkAnalysis
#paper #review
π Network Neuroscience: Mapping and Modeling Complex Brain Networks (Dr. Olaf Sporns)
π₯Free recorded workshop by Dr. Olaf Sporns, University of Indiana, Bloomington.
π₯Modern neuroscience is in the middle of a transformation, driven by the development of novel high-resolution brain mapping and recording technologies that deliver increasingly large and detailed βbig neuroscience dataβ. Network science has emerged as one of the principal approaches to model and analyze neural systems, from individual neurons to circuits and systems spanning the whole brain. A core theme of network neuroscience is the comprehensive mapping of anatomical and functional brain connectivity, also called connectomics. In this presentation I will review current themes and future directions of network neuroscience, including comparative studies of brain networks across different animal species, investigation of prominent network attributes in human brains, and use of computational models to map information flow and communication dynamics. I will argue that network neuroscience represents a promising theoretical framework for understanding the complex structure, operations and functioning of nervous systems.
π½ Watch
π²Channel: @ComplexNetworkAnalysis
#video #Brain #workshop
π₯Free recorded workshop by Dr. Olaf Sporns, University of Indiana, Bloomington.
π₯Modern neuroscience is in the middle of a transformation, driven by the development of novel high-resolution brain mapping and recording technologies that deliver increasingly large and detailed βbig neuroscience dataβ. Network science has emerged as one of the principal approaches to model and analyze neural systems, from individual neurons to circuits and systems spanning the whole brain. A core theme of network neuroscience is the comprehensive mapping of anatomical and functional brain connectivity, also called connectomics. In this presentation I will review current themes and future directions of network neuroscience, including comparative studies of brain networks across different animal species, investigation of prominent network attributes in human brains, and use of computational models to map information flow and communication dynamics. I will argue that network neuroscience represents a promising theoretical framework for understanding the complex structure, operations and functioning of nervous systems.
π½ Watch
π²Channel: @ComplexNetworkAnalysis
#video #Brain #workshop
YouTube
Network Neuroscience: Mapping and Modeling Complex Brain Networks (Dr. Olaf Sporns)
Dr. Olaf Sporns
University of Indiana, Bloomington
Department of Psychological and Brain Sciences
Talk Title:
Network Neuroscience: Mapping and Modeling Complex Brain Networks
Abstract:
Modern neuroscience is in the middle of a transformationβ¦
University of Indiana, Bloomington
Department of Psychological and Brain Sciences
Talk Title:
Network Neuroscience: Mapping and Modeling Complex Brain Networks
Abstract:
Modern neuroscience is in the middle of a transformationβ¦
πNavigation of brain networks
πJournal: Biological Sciences
(I.F=6.58)
πPublish year: 2019
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #brain
πJournal: Biological Sciences
(I.F=6.58)
πPublish year: 2019
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #brain
π1
π Introduction to Brain Network Analysis
π₯Free recorded Lecture by Dr. Johann D. Kruschwitz.
π₯Graph Theoretical Modelling of Brain Connectivity.
π½ Watch: part1 part2
π²Channel: @ComplexNetworkAnalysis
#video #Lecture #Brain
π₯Free recorded Lecture by Dr. Johann D. Kruschwitz.
π₯Graph Theoretical Modelling of Brain Connectivity.
π½ Watch: part1 part2
π²Channel: @ComplexNetworkAnalysis
#video #Lecture #Brain
YouTube
Introduction to Brain Network Analysis - Part 1/2.
Introduction to Brain Network Analysis - Part 1/2. Graph Theoretical Modelling of Brain Connectivity. Concepts and Workflow. GraphVar by Dr. Johann D. Kruschwitz.
πThe relation between structural and functional connectivity patterns in complex brain networks
πJournal: International Journal of Psychophysiology (I.F=2.882)
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper
πJournal: International Journal of Psychophysiology (I.F=2.882)
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper
Complex_brain_networks_graph_theoretical_analysis_of_structural.pdf
52.1 KB
πComplex brain networks: graph theoretical analysis of structural and functional systems
πJournal: Nature Reviews Neuroscience(I.F=34.87)
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Review #brain
πJournal: Nature Reviews Neuroscience(I.F=34.87)
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Review #brain
π OLAF SPORNS "COMPUTATIONAL CONNECTOMICS β MAPPING AND MODELING COMPLEX BRAIN NETWORKS"
π₯Free recorded workshop by Dr. Olaf Sporns.
π½ Watch
π²Channel: @ComplexNetworkAnalysis
#video #Brain #workshop
π₯Free recorded workshop by Dr. Olaf Sporns.
π½ Watch
π²Channel: @ComplexNetworkAnalysis
#video #Brain #workshop
YouTube
OLAF SPORNS "COMPUTATIONAL CONNECTOMICS β MAPPING AND MODELING COMPLEX BRAIN NETWORKS"
In this talk I will review current research themes and findings coming from connectomics, the emerging science of brain networks. I will review the basics of network science as applied to brain data and survey what we have learned so far from macro and mesoβ¦
πApplication of Graph Theory for Identifying Connectivity Patterns in Human Brain Networks: A Systematic Review
πJournal: Frontiers in Computational Neuroscience(I.F=3.41)
πPublish year: 2019
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Review #brain
πJournal: Frontiers in Computational Neuroscience(I.F=3.41)
πPublish year: 2019
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Review #brain
πThe influence of ageing on complex brain networks: A graph theoretical analysis
πJournal: Human brain mapping (I.F=5.038)
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper
πJournal: Human brain mapping (I.F=5.038)
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper
πSocial Network Analysis of COVID-19 Sentiments: Application of Artificial Intelligence
πJournal: Journal of Medical Internet Research (JMIR) (I.F=7.08)
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #application #covid_19
πJournal: Journal of Medical Internet Research (JMIR) (I.F=7.08)
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #application #covid_19
πA comparative analysis of link removal strategies in real complex weighted networks
πJournal: Scientific Reports (I.F=4.996)
πPublish year: 2020
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #comparative
πJournal: Scientific Reports (I.F=4.996)
πPublish year: 2020
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #comparative
2019_A_study_of_the_petroleum_trade_network_of_countries_along.pdf
1.6 MB
πA study of the petroleum trade network of countries along βThe Belt and Road Initiativeβ
πJournal: Journal of Cleaner Production (I.F=9.297)
πPublish year: 2019
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #trade
πJournal: Journal of Cleaner Production (I.F=9.297)
πPublish year: 2019
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #trade