Network Analysis Resources & Updates – Telegram
Network Analysis Resources & Updates
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📄A Review of the Research Progress of Social Network Structure

📘Journal: Complexity

🗓Publish year: 2021

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #review
📄Graph theory approaches to functional network organization in brain disorders: A critique for a brave new small-world

📘
Journal: Network Neuroscience (I.F=4.07)

🗓Publish year: 2020

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper
📄Graph Comparison Based on Adjacency Function Matrix

🗓Publish year: 2022

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper
📄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
📄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
📄A Survey on Studying the Social Networks of Students

🗓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
📄Cut Based Method for Comparing Complex Networks

📘
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
📄Taxonomies of networks from community structure

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper
👍3
📄Clustering Coefficients for Correlation Networks

📘
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
👍1
📄NetworKit: A tool suite for large-scale complex network analysis

📘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
👍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
👍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
📄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
🎞 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
📄Navigation of brain networks

📘
Journal: Biological Sciences
(I.F=6.58)

🗓Publish
year: 2019

📎 Study the paper

📲Channel: @ComplexNetworkAnalysis
#paper #brain
👍1