2020_Link_prediction_techniques,_applications,_and_performance_A.pdf
1.3 MB
📄Link prediction techniques, applications, and performance: A survey
📘Journal: Physica A: Statistical Mechanics and its Applications(I.F=3.263)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
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📘Journal: Physica A: Statistical Mechanics and its Applications(I.F=3.263)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #survey
📃Network analysis of protein interaction data: an introduction
💥Good introductory document from EBI
🌐 Study the tutorial
📲Channel: @ComplexNetworkAnalysis
#tutorial
💥Good introductory document from EBI
🌐 Study the tutorial
📲Channel: @ComplexNetworkAnalysis
#tutorial
📕Graph Data Science (GDS) For Dummies, Neo4j Special Edition
🗓 Date: 2021
🌐 Study the book
📲Channel: @ComplexNetworkAnalysis
#book #neo4j
🗓 Date: 2021
🌐 Study the book
📲Channel: @ComplexNetworkAnalysis
#book #neo4j
2020_Semantic analysis on social networks A survey.pdf
4.7 MB
👆🏻👆🏻👆🏻📄Semantic analysis on social networks: A survey
📘Journal: Communication Systems (I.F=2.047)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #survey
📘Journal: Communication Systems (I.F=2.047)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #survey
📄Characterization of complex networks: A survey of measurements
📎 Study
📲Channel: @ComplexNetworkAnalysis
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📎 Study
📲Channel: @ComplexNetworkAnalysis
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📄Social Network Analysis: From Graph Theory to Applications with Python
🗓Publish year: 2021
📎 Paper
📽 Video
💻 Code
✅ Our Channels 👇👇👇
📲 @ComplexNetworkAnalysis
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#paper #python #video #code
🗓Publish year: 2021
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📽 Video
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✅ Our Channels 👇👇👇
📲 @ComplexNetworkAnalysis
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🎞 Introduction to network science
💥Free recorded Lecture by Prof. Leonid Zhukov, Ilya Makarov.
💥Introduction to the complex network theory. Network properties and metrics.
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📑Lecture
📲Channel: @ComplexNetworkAnalysis
#video #Lecture
💥Free recorded Lecture by Prof. Leonid Zhukov, Ilya Makarov.
💥Introduction to the complex network theory. Network properties and metrics.
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📑Lecture
📲Channel: @ComplexNetworkAnalysis
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YouTube
Lecture1. Introduction to Network Science.
Network Science 2021 @ HSE
http://www.leonidzhukov.net/hse/2021/networks/
http://www.leonidzhukov.net/hse/2021/networks/
📄Evolutionary Computation in Social Propagation over Complex Networks: A Survey
📘Journal: International Journal of Automation and Computing (I.F=3.175)
🗓Publish year: 2021
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Survey
📘Journal: International Journal of Automation and Computing (I.F=3.175)
🗓Publish year: 2021
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Survey
📄Network data
💥This page contains links to some network data sets I've compiled over the years. All of these are free for scientific use to the best of my knowledge, meaning that the original authors have already made the data freely available, or that I have consulted the authors and received permission to the post the data here, or that the data are mine. If you make use of any of these data, please cite the original sources.
📎Most popular network datasets
📲Channel: @ComplexNetworkAnalysis
#dataset
💥This page contains links to some network data sets I've compiled over the years. All of these are free for scientific use to the best of my knowledge, meaning that the original authors have already made the data freely available, or that I have consulted the authors and received permission to the post the data here, or that the data are mine. If you make use of any of these data, please cite the original sources.
📎Most popular network datasets
📲Channel: @ComplexNetworkAnalysis
#dataset
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📄Pearson Correlations on Complex Networks
📘Journal: Journal of Complex Networks (I.F= 2.011)
🗓Publish year: 2021
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper
📘Journal: Journal of Complex Networks (I.F= 2.011)
🗓Publish year: 2021
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper
📄A Survey on the Role of Centrality as Seed Nodes for Information Propagation in Large Scale Network
📘Journal: ACM/IMS Transactions on Data Science
🗓Publish year: 2021
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Survey
📘Journal: ACM/IMS Transactions on Data Science
🗓Publish year: 2021
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Survey
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📄Local controllability of complex networks
📘Journal: Mathematical Modelling and Control (I.F= 5.129)
🗓Publish year: 2021
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper
📘Journal: Mathematical Modelling and Control (I.F= 5.129)
🗓Publish year: 2021
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper
📄A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability
💥 Technical paper
🗓Publish year: 2022
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📲Channel: @ComplexNetworkAnalysis
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💥 Technical paper
🗓Publish year: 2022
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🎞 Complex Network: Theory and Application
💥Free recorded course by Prof. Animesh Mukherjee, Department of Computer Science and Engineering, IIT Kharagpur.
💥This course covers lessons in network analysis, properties of social networks, community analysis, and case study of citation networks. Study of the models and behaviors of networked systems. Empirical studies of social, biological, technological and information networks. Exploring the concepts of small world effect, degree distribution, clustering, network correlations, node centrality, and community structure of networks. This will be followed by detailed case study of citation networks. Types of network: Social networks, Information networks, Technological networks, Biological networks, Citation Networks. Properties of network: Small world effect, transitivity and clustering, degree distribution, scale free networks, maximum degree; mixing patterns; degree correlations; community structures; node centrality.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #course
💥Free recorded course by Prof. Animesh Mukherjee, Department of Computer Science and Engineering, IIT Kharagpur.
💥This course covers lessons in network analysis, properties of social networks, community analysis, and case study of citation networks. Study of the models and behaviors of networked systems. Empirical studies of social, biological, technological and information networks. Exploring the concepts of small world effect, degree distribution, clustering, network correlations, node centrality, and community structure of networks. This will be followed by detailed case study of citation networks. Types of network: Social networks, Information networks, Technological networks, Biological networks, Citation Networks. Properties of network: Small world effect, transitivity and clustering, degree distribution, scale free networks, maximum degree; mixing patterns; degree correlations; community structures; node centrality.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #course
Infocobuild
Complex Network: Theory and Application (Prof. Animesh Mukherjee, IIT Kharagpur): Lecture 08 - Social Network Principles I: As…
Complex Network: Theory and Application (Prof. Animesh Mukherjee, IIT Kharagpur): Lecture 08 - Social Network Principles I: Assortativity/Homophily, Signed Graphs.
🎞 Social Network Analysis
💥This free recorded tutorial is an overview of social networks and social network analysis.
📽Watch
📱Channel: @ComplexNetworkAnalysis
#video #tutorial
💥This free recorded tutorial is an overview of social networks and social network analysis.
📽Watch
📱Channel: @ComplexNetworkAnalysis
#video #tutorial
YouTube
Social Network Analysis
An overview of social networks and social network analysis.
See more on this video at https://www.microsoft.com/en-us/research/video/social-network-analysis/
See more on this video at https://www.microsoft.com/en-us/research/video/social-network-analysis/
🎞 Introduction to Social Network Analysis [3/5]: Historical Applications
💥Free recorded workshop by Martin Grandjean (Université de Lausanne) at the Conference HNR+ResHist2021 Conference "Historical Networks - Réseaux Historiques - Historische Netzwerke co-organised by HNR and ResHist.
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📲Channel: @ComplexNetworkAnalysis
#video #workshop
💥Free recorded workshop by Martin Grandjean (Université de Lausanne) at the Conference HNR+ResHist2021 Conference "Historical Networks - Réseaux Historiques - Historische Netzwerke co-organised by HNR and ResHist.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #workshop
YouTube
Introduction to Social Network Analysis [3/5]: Historical Applications
Workshop by Martin Grandjean (Université de Lausanne) at the Conference HNR+ResHist2021 Conference "Historical Networks - Réseaux Historiques - Historische Netzwerke co-organised by HNR and ResHist.
The script is available here: https://doi.org/10.5281/zenodo.5083036…
The script is available here: https://doi.org/10.5281/zenodo.5083036…
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