Network Analysis Resources & Updates
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πŸ“„Visualizing Networks in Python

πŸ’₯
Technical paper

πŸ’₯A brief introduction with examples by python

🌐 Study

πŸ“²Channel: @ComplexNetworkAnalysis

#paper #python #code #NetworkX
πŸ“„A Comprehensive Survey on Community Detection with Deep Learning

πŸ“˜
Journal: IEEE Transactions on Neural Networks and Learning Systems(I.F=14.255)

πŸ—“Publish year: 2021

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #community_detection #deep_learning #survey
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2021_Nature_inspired_link_prediction_and_community_detection_algorithms.pdf
1.1 MB
πŸ“„Nature inspired link prediction and community detection algorithms for social networks: a survey

πŸ“˜
Journal: International Journal of System Assurance Engineering and Management (I.F: 2.02)

πŸ—“Publish year: 2021

πŸ“Ž Study the paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #survey #linkPrediction #communityDetection
πŸ“„Children’s Social Networks and Well-Being

πŸ—“Publish year: 2014

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πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Well_Being
Graph Theory and Social Networks.pdf
973.1 KB
πŸ“‘Graph Theory and Social Networks

πŸ“”Booklet
: Kimball Martin

πŸ—“Publish year: 2014

πŸ“²Channel: @ComplexNetworkAnalysis
#Booklet #Python #code
πŸ“„On community structure in complex networks: challenges and opportunities

πŸ“˜
Journal: Applied Network Science (I.F: 2.65)

πŸ—“Publish year: 2019

πŸ“Ž Study the paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper
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2021_Community_detection_in_complex_networks_From_statistical_foundations.pdf
5 MB
πŸ“„Community detection in complex networks: From statistical foundations to data science applications

πŸ“˜
Journal: WIREs Computational Statistics (I.F:3.282)

πŸ—“Publish year: 2021

πŸ“Ž Study the paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #CommunityDetection
🎞 Introduction to Graph Computing

πŸ’₯Free recorded Lecture by Prof. Yadong Li

πŸ’₯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.

πŸ“½ Watch

πŸ“²Channel: @ComplexNetworkAnalysis

#video #Lecture #GraphComputing
πŸ“„Deep Learning for Community Detection: Progress, Challenges and Opportunities

πŸ“˜
Conference: Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}

πŸ—“Publish year: 2020

πŸ“Ž Study the paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #CommunityDetection #DeepLearning
πŸ“„Graph neural networks: A review of methods and applications

πŸ“˜
Journal: AI Open

πŸ—“Publish year: 2020

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #review #applications
πŸ“„Statistical Network Analysis: A Review with Applications to the Coronavirus Disease 2019 Pandemic

πŸ“˜
Journal: International Statistical Institute (I.F=1.946)

πŸ—“Publish year: 2020

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #review #Applications #Coronavirus
πŸ“„A Review of Graph and Network Complexity from an Algorithmic Information Perspective

πŸ“˜
Journal: Entropy (I.F=2.738)

πŸ—“Publish year: 2018

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #review
πŸ“„Bipartite Graphs as Models of Complex Networks

πŸ—“Publish year: 2021

πŸ“Ž Study the paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper
πŸ“„A Review on Graph Theory in Network and Artificial Intelligence

πŸ“˜
Conference: International Conference on Robotics and Artificial Intelligence (RoAI) 2020 28-29 December 2020, Chennai, India

πŸ—“Publish year: 2021

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #review #Artificial_Intelligence
🎞 Modeling epidemics on complex networks

πŸ’₯Free recorded Lecture in Department of Computer Science IIL Ropar

πŸ“½ Watch

πŸ“²Channel: @ComplexNetworkAnalysis

#video #Lecture
πŸ“„Community Detection Methods in Social Network Analysis

πŸ“˜
Journal: Journal of Computational and Theoretical Nanoscience (I.F=0.488)

πŸ“Ž Study the paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #CommunityDetection
πŸ“„Implement Louvain Community Detection Algorithm using Python and Gephi with visualization

πŸ’₯
Technical paper

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πŸ“²Channel: @ComplexNetworkAnalysis

#paper #CommunityDetection #Gephi #Louvain #code #python
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