📄Structure and function of complex brain networks
📘Journal: Dialogues in Clinical Neuroscience (I.F=5.986)
🗓Publish year: 2022
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #brain
📘Journal: Dialogues in Clinical Neuroscience (I.F=5.986)
🗓Publish year: 2022
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #brain
📄Social network analysis in business and management research: A bibliometric analysis of the research trend and performance from 2001 to 2020
📘Journal: Heliyon (I.F=3.776)
🗓Publish year: 2022
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #business #management
📘Journal: Heliyon (I.F=3.776)
🗓Publish year: 2022
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #business #management
🎞 Webinar: Social Network Analysis: Getting and Marshalling Data
💥Free recorded webinar.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #webinar
💥Free recorded webinar.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #webinar
YouTube
Webinar: Social Network Analysis: Getting and Marshalling Data
Vast swathes of our social interactions and personal behaviours are now conducted online and/or captured digitally. Thus, computational methods for collecting, cleaning and analysing data are an increasingly important component of a social scientist’s toolkit.…
📄A Survey on Studying the Social Networks of Students
🗓Publish year: 2019
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #survey
🗓Publish year: 2019
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #survey
📄The use of social network analysis in social support and care: a systematic scoping review protocol
📘Journal: Systematic Reviews (I.F= 3.136)
🗓Publish year: 2022
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #review #care #support
📘Journal: Systematic Reviews (I.F= 3.136)
🗓Publish year: 2022
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #review #care #support
🎞 Social network analysis: Considerations for data collection and analysis
💥Free recorded tutorial.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #tutorial
💥Free recorded tutorial.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #tutorial
YouTube
Social network analysis: Considerations for data collection and analysis
Bernie Hogan completed his BA(hons) at the Memorial University of Newfoundland in Canada, where he received the University Medal in Sociology. Since then he has been working on Internet use and social networks at the University of Toronto under social network…
📄Cut Based Method for Comparing Complex Networks
📘Journal: Scientific Reports (I.F=4.379 )
🗓Publish year: 2018
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper
📘Journal: Scientific Reports (I.F=4.379 )
🗓Publish year: 2018
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper
👍1
📄Metrics for graph comparison: A practitioner’s guide
📘Journal: PLoS ONE (I.F=3.24)
🗓Publish year: 2020
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper
📘Journal: PLoS ONE (I.F=3.24)
🗓Publish year: 2020
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper
📄Clustering Coefficients for Correlation Networks
📘Journal: Frontiers in Neuroinformatics (I.F=4.757)
🗓Publish year: 2018
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper
📘Journal: Frontiers in Neuroinformatics (I.F=4.757)
🗓Publish year: 2018
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper
👍1
🎞 Structural properties of networks
💥Free recorded Lecture by Prof. Leonid Zhukov, Ilya Makarov.
💥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.
📽 Watch
📑 Lecture
📲Channel: @ComplexNetworkAnalysis
#video #Lecture
💥Free recorded Lecture by Prof. Leonid Zhukov, Ilya Makarov.
💥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.
📽 Watch
📑 Lecture
📲Channel: @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/
👍1
📄NetworKit: A tool suite for large-scale complex network analysis
📘Journal: Network Science
🗓Publish year: 2016
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #tool
📘Journal: Network Science
🗓Publish year: 2016
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #tool
📄Network stiffness: A new topological property in complex networks
📘Journal: PLOS ONE (I.F=3.752)
🗓Publish year: 2019
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #topology
📘Journal: PLOS ONE (I.F=3.752)
🗓Publish year: 2019
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #topology
👍1
📄Community Detection in Complex Networks: A Survey on Local Approaches
📘Conference: Asian Conference on Intelligent Information and Database Systems
🗓Publish year: 2021
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #survey
📘Conference: Asian Conference on Intelligent Information and Database Systems
🗓Publish year: 2021
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #survey
👍1
📄A review of “Random graphs and complex networks” by Hofstad
📘Journal: Complex Adaptive Systems Modeling
🗓Publish year: 2017
📎 Study Book Review
📱Channel: @ComplexNetworkAnalysis
#paper #review
📘Journal: Complex Adaptive Systems Modeling
🗓Publish year: 2017
📎 Study Book Review
📱Channel: @ComplexNetworkAnalysis
#paper #review
📄Introduction to the modeling
and analysis of complex systems: a review
📘Journal: COMPLEX ADAPT SYST MODEL
🗓Publish year: 2016
📎 Study Book Review
📱Channel: @ComplexNetworkAnalysis
#paper #review
and analysis of complex systems: a review
📘Journal: COMPLEX ADAPT SYST MODEL
🗓Publish year: 2016
📎 Study Book Review
📱Channel: @ComplexNetworkAnalysis
#paper #review
🎞 Network Neuroscience: Mapping and Modeling Complex Brain Networks (Dr. Olaf Sporns)
💥Free recorded workshop by Dr. Olaf Sporns, University of Indiana, Bloomington.
💥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 “big neuroscience data”. 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.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #Brain #workshop
💥Free recorded workshop by Dr. Olaf Sporns, University of Indiana, Bloomington.
💥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 “big neuroscience data”. 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.
📽 Watch
📲Channel: @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 transformation…
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 transformation…
📄Navigation of brain networks
📘Journal: Biological Sciences
(I.F=6.58)
🗓Publish year: 2019
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #brain
📘Journal: Biological Sciences
(I.F=6.58)
🗓Publish year: 2019
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #brain
👍1
🎞 Introduction to Brain Network Analysis
💥Free recorded Lecture by Dr. Johann D. Kruschwitz.
💥Graph Theoretical Modelling of Brain Connectivity.
📽 Watch: part1 part2
📲Channel: @ComplexNetworkAnalysis
#video #Lecture #Brain
💥Free recorded Lecture by Dr. Johann D. Kruschwitz.
💥Graph Theoretical Modelling of Brain Connectivity.
📽 Watch: part1 part2
📲Channel: @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.
📄The relation between structural and functional connectivity patterns in complex brain networks
📘Journal: International Journal of Psychophysiology (I.F=2.882)
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper
📘Journal: International Journal of Psychophysiology (I.F=2.882)
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper