Network Analysis Resources & Updates – Telegram
Network Analysis Resources & Updates
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📄A Machine Learning Based Framework for Identifying Influential Nodes in Complex Networks

📘
Journal: IEEE Access (3.367)

🗓Publish year: 2020

📎 Study the paper

📲Channel: @ComplexNetworkAnalysis
#paper
👍1
Machine Learning in Complex Networks 👇👇👇👇👇
Machine Learning in Complex Networks.pdf
6.6 MB
📘 Machine Learning in Complex Networks

🗓Publish year: 2016

📎 Study the book

📲Channel: @ComplexNetworkAnalysis

#book #MachineLearning
👍2
🎞 Epidemics on networks

💥Free recorded Lecture by Prof. Leonid Zhukov, Ilya Makarov.

💥Spread of epidemics on network. SI, SIS, SIR network models. Epidemic threshold. Simulations of infection propagation on networks

📽 Watch: part1 part2

📲Channel: @ComplexNetworkAnalysis

#video #Lecture
📄Vital nodes identification in complex networks

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Journal: Physics Reports (I.F=25.600)

🗓Publish year: 2016

📎 Study the paper

📲Channel: @ComplexNetworkAnalysis
#paper #review #influential
2019_Application_of_Complex_Networks_Theory_in_Urban_Traffic_Network.pdf
1.5 MB
📄Application of Complex Networks Theory in Urban Traffic Network Researches

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Journal: Physics Reports (I.F=2.484)

🗓Publish year: 2019

📎 Study the paper

📲Channel: @ComplexNetworkAnalysis
#paper
👍2
2019_Complex_networks_analysis_in_Iran_stock_market_The_application.pdf
886.4 KB
📄Complex networks analysis in Iran stock market: The application of centrality

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Journal: Physica A: Statistical Mechanics and its Applications (I.F=3.778)

🗓Publish year: 2019

📎 Study the paper

📲Channel: @ComplexNetworkAnalysis
#paper
🎓Social Network Analysis: Link Prediction under The Belief Function Framework

📘PhD's thesis from Universite d’Artois, France

🗓Publish year: 2018

📎Study thesis

📱Channel: @ComplexNetworkAnalysis
#thesis #LinkPrediction
📄Centrality Measures in Complex Networks: A Survey

🗓Publish year: 2020

📎 Study the paper

📲Channel: @ComplexNetworkAnalysis
#paper #Survey
📄Biological network analysis with deep learning

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Journal:Briefings in Bioinformatics (I.F=13.994)

🗓Publish year: 2021

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Biological #deeplearning
👍2
📄A review of definitions and measures of system resilience

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Journal: Reliability Engineering and System Safety (I.F=7.247)

🗓Publish year: 2016

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #resilience #review
📄A Literature Review of Network Models in Neuroscience

🗓Publish year: 2022

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Neuroscience #review
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📄Engineering Emergence: A Survey on Control in the World of Complex Networks

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Journal: Automation

🗓Publish year: 2022

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Control #survey
📄Deep Learning on Graphs: A Survey

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Journal: IEEE Transactions on Knowledge and Data Engineering (I.F=9.235)

🗓Publish year: 2022

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #survey
📄A Survey on Community Detection Algorithm and Its Applications

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Journal: Turkish Journal of Computer and Mathematics Education (TURCOMAT)

🗓Publish year: 2021

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Community #Application #survey
📄Network as a language for precision medicine

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Journal: Annali dell'Istituto superiore di sanita (I.F=2.21)

🗓Publish year: 2021

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #precision #medicine
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Channel name was changed to «Network Analysis Resources»
Channel name was changed to «Network Analysis Resources & Updates»
🎞 Graph Mining

💥Free recorded Lecture

💥Graph Mining is the set of tools and techniques used to analyze the properties of real-world graphs, predict how the structure and properties of a given graph might affect some application, develop models that can generate realistic graphs that match the patterns found in real-world graphs of interest etc

📽 Watch

📲Channel: @ComplexNetworkAnalysis

#video #Lecture
📄A Survey on Subgraph Counting: Concepts, Algorithms and Applications to Network Motifs and Graphlets


🗓Publish year: 2019

📎 Study the paper

📲Channel: @ComplexNetworkAnalysis
#paper #Survey