Network Analysis Resources & Updates
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Forwarded from Bioinformatics
πŸ“ƒGraph representation learning in bioinformatics: trends, methods and applications

πŸ“˜Journal: Briefings in Bioinformatics (I.F.=11.622)
πŸ—“Publish year: 2022

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#review #graph_representation_learning
🎞 Co-expression network analysis using RNA-Seq data

πŸ’₯Free recorded tutorial on Co-expression network analysis using RNA-Seq data presented at the ISCB DC Regional Student Group Workshop at the University of Maryland – College Park (June 15 2016).
πŸ”ΉThis tutorial provide a simple overview of co-expression network analysis, with an emphasis on the use of RNA-Seq data.A motivation for the use of co-expression network analysis is provided and compared to other common types of RNA-Seq analyses such as differential expression analysis and gene set enrichment analysis. The use of adjacency matrices to represent networks is explored for several different types of networks and a small synthetic dataset is used to demonstrate each of the major steps in co-expression network construction and module detection. The tutorial portion of the presentation then applies some of these principles using a real dataset containing ~3000 genes, after filtering.

πŸ“½Watch

πŸ“±Channel: @ComplexNetworkAnalysis

#video #Co_expression_network #RNA_Seq
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πŸ“„COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data

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Journal: JOURNAL OF MEDICAL INTERNET RESEARCH (I.F=7.076)
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Publish year: 2020

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #COVID_19 #5G_Conspiracy #Twitter
πŸ“„SBEToolbox: A Matlab Toolbox for Biological Network Analysis

πŸ“˜Journal: Evolutionary Bioinformatics (I.F= 1.625)
πŸ—“Publish year: 2012

πŸ“ŽStudy paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Matlab #tool #Biological_Network
2020_Social Network Analysis using Python Data Mining.pdf
829.6 KB
πŸ“„Social Network Analysis using Python Data Mining

πŸ“˜
Conference: International Conference on Cyber and IT Service Management (CITSM)
πŸ—“
Publish year: 2020

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Python #Data_Mining
🎞 Financial Network Analysis using Python

πŸ’₯Free recorded tutorial on Financial Network Analysis using Python by Kalyan Prasad (Data Scientist & Analytics Manager at Creative Crewz).
πŸ”ΉTo model the stock market using network analysis, different stocks are represented as different nodes. However, defining the interaction, or creating edges, between different nodes is rather non-intuitive, unlike some physical networks, such as friendship network, in which interaction between different nodes can be defined explicitly. A traditional way to create edges between different nodes for stock market is to look at the correlations of some defined attributes. In this tutorial analyze one of the reputed stock index data and identifies stock relationships in it. and propose a model that can depict such relationships and create networks of stocks.and investigate and create different networks according to the degree of correlation of stocks.

πŸ“½Watch

πŸ“±Channel: @ComplexNetworkAnalysis

#video #Financial #Python
πŸ“„Studying Fake News via Network Analysis: Detection and Mitigation

πŸ“˜
In book: Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining (pp.43-65)
πŸ—“Publish year: 2018

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Fake_News #Detection #Mitigation
🎞 Getting Started with Network Data Using Gephi

πŸ’₯Free recorded workshop from UCR Library
πŸ”ΉIn this workshop, you'll become familiar with essential vocabulary and concepts related to network graphs and network analysis while gaining experience with Gephi's interface and tools for analyzing and visualizing networks.

πŸ“½ Watch

πŸ“±Channel: @ComplexNetworkAnalysis
#video #Gephi
πŸ‘1
πŸ“„Graph neural networks: A review of methods and applications

πŸ“˜Journal: AI Open(I.F= 14.05)
πŸ—“Publish year: 2020

πŸ“ŽStudy paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #GNN #review
πŸ‘1
πŸ“„A Gentle Introduction to Graph Neural Network

πŸ’₯Technical paper

🌐 Study

πŸ“²Channel: @ComplexNetworkAnalysis

#paper #GNN
Introduction to Neural Networks Using PyTorch.pdf
308.2 KB
πŸ“•Introduction to Neural Networks Using PyTorch

πŸ“Authors: Pradeepta Mishra

πŸ’₯Deep neural network–based models are gradually becoming the backbone for artificial intelligence and machine learning implementations. The future of data mining will be governed by the usage of artificial neural network–based advanced modeling techniques. One obvious question is why neural networks are only now gaining so much importance, because they were invented in 1950s.

πŸ—“
publish year: 2022
πŸ“–
Study book

πŸ“²Channel: @ComplexNetworkAnalysis

#book #Python #code
πŸ‘2
2021_A_systematic_review_of_network_analysis_studies_in_eating_disorders.pdf
533.5 KB
πŸ“„A systematic review of network analysis studies in eating disorders: Is time to broaden the core psychopathology to non specific symptoms

πŸ“˜
Journal: EUROPEAN EATING DISORDERS REVIEW (I.F=5.36)
πŸ—“
Publish year: 2021

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #eating_disorders #broaden #psychopathology #symptoms #review
πŸ“„Reversibility of link prediction and its application to epidemic mitigation

πŸ“˜Journal: scientific reports (I.F= 4.379)
πŸ—“Publish year: 2022

πŸ“ŽStudy paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Link_Prediction
πŸ“„Network and Graph Algorithms From Scratch

πŸ’₯Technical paper

🌐 Study

πŸ“²Channel: @ComplexNetworkAnalysis

#paper #Graph #code #python
2020_Statistical Network Analysis A Review.pdf
875.3 KB
πŸ“„Statistical Network Analysis: A Review with Applications to the Coronavirus Disease 2019 Pandemic

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Journal: INTERNATIONAL STATISTICAL REVIEW (I.F=1.946)
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Publish year: 2020

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Application #Coronavirus #review
2021_A_survey_on_graph_based_methods_for_similarity_searches_in.pdf
1.6 MB
πŸ“„A survey on graph-based methods for similarity searches in metric spaces

πŸ“˜Journal: Information Systems(I.F=7.453)

πŸ—“Publish year: 2021

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #survey #graph
Social_Network_Theory_in_Construction_Industry_A_Scientometric_Review.pdf
414.4 KB
πŸ“„Social Network Theory in Construction Industry: A Scientometric Review

πŸ“˜Conference: Recent Trends in Civil Engineering

πŸ—“Publish year: 2022

πŸ“ŽStudy paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Review #Social_Network