📄How to model a social network with R
💥Technical paper
💥A brief introduction with examples by R
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #R #code
💥Technical paper
💥A brief introduction with examples by R
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #R #code
Medium
How to model a social network with R
A practical introduction to network theory
👍2
📄A Comprehensive Survey on Community Detection with Deep Learning
📘Journal: IEEE Transactions on Neural Networks and Learning Systems(I.F=14.255)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #community_detection #deep_learning #survey
📘Journal: IEEE Transactions on Neural Networks and Learning Systems(I.F=14.255)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #community_detection #deep_learning #survey
👍1
2021_Nature_inspired_link_prediction_and_community_detection_algorithms.pdf
1.1 MB
📄Nature inspired link prediction and community detection algorithms for social networks: a survey
📘Journal: International Journal of System Assurance Engineering and Management (I.F: 2.02)
🗓Publish year: 2021
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📲Channel: @ComplexNetworkAnalysis
#paper #survey #linkPrediction #communityDetection
📘Journal: International Journal of System Assurance Engineering and Management (I.F: 2.02)
🗓Publish year: 2021
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #survey #linkPrediction #communityDetection
📄Children’s Social Networks and Well-Being
🗓Publish year: 2014
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📲Channel: @ComplexNetworkAnalysis
#paper #Well_Being
🗓Publish year: 2014
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📲Channel: @ComplexNetworkAnalysis
#paper #Well_Being
Graph Theory and Social Networks.pdf
973.1 KB
📑Graph Theory and Social Networks
📔Booklet: Kimball Martin
🗓Publish year: 2014
📲Channel: @ComplexNetworkAnalysis
#Booklet #Python #code
📔Booklet: Kimball Martin
🗓Publish year: 2014
📲Channel: @ComplexNetworkAnalysis
#Booklet #Python #code
📄On community structure in complex networks: challenges and opportunities
📘Journal: Applied Network Science (I.F: 2.65)
🗓Publish year: 2019
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📲Channel: @ComplexNetworkAnalysis
#paper
📘Journal: Applied Network Science (I.F: 2.65)
🗓Publish year: 2019
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper
👍1
2021_Community_detection_in_complex_networks_From_statistical_foundations.pdf
5 MB
📄Community detection in complex networks: From statistical foundations to data science applications
📘Journal: WIREs Computational Statistics (I.F:3.282)
🗓Publish year: 2021
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📲Channel: @ComplexNetworkAnalysis
#paper #CommunityDetection
📘Journal: WIREs Computational Statistics (I.F:3.282)
🗓Publish year: 2021
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #CommunityDetection
🎞 Introduction to Graph Computing
💥Free recorded Lecture by Prof. Yadong Li
💥Graph computing is an innovative technology that allows developers to build applications and systems as directed acyclic graphs (DAGs). Graph computing offers generic solutions to some of the most fundamental challenges in enterprise computing such as scalability, transparency and lineage. In this workshop, we survey the available graph computing tools in Julia, then walk through a few hands-on examples of building real world applications and systems using graph computing.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #Lecture #GraphComputing
💥Free recorded Lecture by Prof. Yadong Li
💥Graph computing is an innovative technology that allows developers to build applications and systems as directed acyclic graphs (DAGs). Graph computing offers generic solutions to some of the most fundamental challenges in enterprise computing such as scalability, transparency and lineage. In this workshop, we survey the available graph computing tools in Julia, then walk through a few hands-on examples of building real world applications and systems using graph computing.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #Lecture #GraphComputing
YouTube
Introduction to Graph Computing | JuliaCon 2022 | Yadong Li
Graph computing is an innovative technology that allows developers to build applications and systems as directed acyclic graphs (DAGs). Graph computing offers generic solutions to some of the most fundamental challenges in enterprise computing such as scalability…
📄Deep Learning for Community Detection: Progress, Challenges and Opportunities
📘Conference: Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}
🗓Publish year: 2020
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #CommunityDetection #DeepLearning
📘Conference: Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}
🗓Publish year: 2020
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📲Channel: @ComplexNetworkAnalysis
#paper #CommunityDetection #DeepLearning
📄Graph neural networks: A review of methods and applications
📘Journal: AI Open
🗓Publish year: 2020
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📱Channel: @ComplexNetworkAnalysis
#paper #review #applications
📘Journal: AI Open
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #review #applications
📄Statistical Network Analysis: A Review with Applications to the Coronavirus Disease 2019 Pandemic
📘Journal: International Statistical Institute (I.F=1.946)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #review #Applications #Coronavirus
📘Journal: International Statistical Institute (I.F=1.946)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #review #Applications #Coronavirus
📄A Review of Graph and Network Complexity from an Algorithmic Information Perspective
📘Journal: Entropy (I.F=2.738)
🗓Publish year: 2018
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📱Channel: @ComplexNetworkAnalysis
#paper #review
📘Journal: Entropy (I.F=2.738)
🗓Publish year: 2018
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #review
📄Bipartite Graphs as Models of Complex Networks
🗓Publish year: 2021
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📲Channel: @ComplexNetworkAnalysis
#paper
🗓Publish year: 2021
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper
📄Community Detection Algorithms
💥Technical paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #CommunityDetection
💥Technical paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #CommunityDetection
Medium
Community Detection Algorithms
Many of you are familiar with networks, right? You might be using social media sites such as Facebook, Instagram, Twitter, etc. They are…
📄A Review on Graph Theory in Network and Artificial Intelligence
📘Conference: International Conference on Robotics and Artificial Intelligence (RoAI) 2020 28-29 December 2020, Chennai, India
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #review #Artificial_Intelligence
📘Conference: International Conference on Robotics and Artificial Intelligence (RoAI) 2020 28-29 December 2020, Chennai, India
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #review #Artificial_Intelligence
🎞 Modeling epidemics on complex networks
💥Free recorded Lecture in Department of Computer Science IIL Ropar
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #Lecture
💥Free recorded Lecture in Department of Computer Science IIL Ropar
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #Lecture
YouTube
Modeling epidemics on complex networks
📄Community Detection Methods in Social Network Analysis
📘Journal: Journal of Computational and Theoretical Nanoscience (I.F=0.488)
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #CommunityDetection
📘Journal: Journal of Computational and Theoretical Nanoscience (I.F=0.488)
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #CommunityDetection
🎞 Multi-agent models in complex networks
💥Free recorded Lecture by Pablo Balenzuela (University of Buenos Aires, Argentina)
📽 Watch: part1 part2 part3 part4
📲Channel: @ComplexNetworkAnalysis
#video #Lecture
💥Free recorded Lecture by Pablo Balenzuela (University of Buenos Aires, Argentina)
📽 Watch: part1 part2 part3 part4
📲Channel: @ComplexNetworkAnalysis
#video #Lecture
YouTube
Multi-agent models in complex networks (1 o 4)
Preparatory School for StatPhys 2019
July 1-5, 2019
Introduction to nonlinear dynamics
Speaker:
Pablo Balenzuela (University of Buenos Aires, Argentina)
More informations: https://www.ictp-saifr.org/preparatory-school-for-statphys-2019/
July 1-5, 2019
Introduction to nonlinear dynamics
Speaker:
Pablo Balenzuela (University of Buenos Aires, Argentina)
More informations: https://www.ictp-saifr.org/preparatory-school-for-statphys-2019/
👍2
📄Implement Louvain Community Detection Algorithm using Python and Gephi with visualization
💥Technical paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #CommunityDetection #Gephi #Louvain #code #python
💥Technical paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #CommunityDetection #Gephi #Louvain #code #python
Medium
Implement Louvain Community Detection Algorithm using Python and Gephi with visualization
Louvain Community Detection Algorithm
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