Network Analysis Resources & Updates
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πŸ“„Tensor decomposition for analysing time-evolving social networks: an overview

πŸ“˜
Journal: Artificial Intelligence Review (I.F=9.588)
πŸ—“Publish year: 2020

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Tensor #time_evolving #overview
πŸ“„Bipartite graphs in systems biology and medicine: a survey of methods and applications

πŸ“˜
Journal: GIGASCIENCE (I.F=7.658)
πŸ—“Publish year: 2018

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #biology #medicine #applications #survey
πŸ“„A complex network analysis approach for estimation and detection of traffic incidents based on independent component analysis

πŸ“˜Journal: Physica A: Statistical Mechanics and its Applications (I.F=3.263)
πŸ—“Publish year: 2022

πŸ“ŽStudy paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #traffic
πŸ“„Investigating Fake and Reliable News Sources Using Complex Networks Analysis

πŸ“˜Journal: Frontiers in Physics (I.F=3.56)
πŸ—“Publish year: 2022

πŸ“ŽStudy paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Fake_news #Reliable_News
2020_Complex_Network_Analysis_for_Knowledge_Management_and_Organizational.pdf
1.1 MB
πŸ“„Complex Network Analysis for Knowledge Management and Organizational Intelligence

πŸ“˜Journal: Journal of the Knowledge Economy (I.F= 2.11)
πŸ—“Publish year: 2020

πŸ“ŽStudy paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Management
πŸ‘3
2019_Complex_networks_analysis_in_Iran_stock_market_The_application.pdf
886.4 KB
πŸ“„Complex networks analysis in Iran stock market: The application of centrality

πŸ“˜Journal: Physica A: Statistical Mechanics and its Applications (I.F= 3.263)
πŸ—“Publish year: 2019

πŸ“ŽStudy paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #centrality
πŸ‘3
2019_Complex_network_analysis_of_keywords_co_occurrence_in_the_recent.pdf
3.2 MB
πŸ“„Complex network analysis of keywords co-occurrence in the recent efficiency analysis literature

πŸ“˜Journal: Scientometrics (I.F= 3.238)
πŸ—“Publish year: 2019

πŸ“ŽStudy paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Co_occurrence_network
πŸ‘1
πŸ“„The network approach to psychopathology: a review of the literature 2008–2018 and an agenda for future research

πŸ“˜
Journal: PSYCHOLOGICAL MEDICINE (I.F=10.592)
πŸ—“
Publish year: 2020

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #psychopathology #review
2018_Critical_Review_of_Social_Network_Analysis_Applications_in.pdf
6.1 MB
πŸ“„Critical Review of Social Network Analysis Applications in Complex Project Management

πŸ“˜
Journal: JOURNAL OF MANAGEMENT IN ENGINEERING (I.F=6.415)
πŸ—“
Publish year: 2018

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Applications #Project #Management #review
🎞 How to Analyze Social Media Networks with Kumu and NodeXL

πŸ’₯Free recorded tutorial
πŸ”ΉNodeXL and Kumu are two powerful free tools for social network analysis. NodeXL is excellent for gathering social media data but it is more challenging (for beginners) to generate understandable visualizations. Kumu on the other hand is an excellent tool for social network analysis, but you can't collect social media data using the tool. Here's how to combine the two together

πŸ“½ Watch

πŸ“±Channel: @ComplexNetworkAnalysis

#video #Kumu #NodeXL
πŸ‘2
2016_A Complex Network Perspective on Clinical Science.pdf
563.8 KB
πŸ“„A Complex Network Perspective on Clinical Science

πŸ“˜
Journal: PERSPECTIVES ON PSYCHOLOGICAL SCIENCE (I.F=11.621)
πŸ—“
Publish year: 2016

πŸ“ŽStudy paper
πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Clinical_Science
πŸ“„Graph neural networks for affective social media: A comprehensive overview

πŸ“˜
Conference: THECOG
πŸ—“
Publish year: 2022

πŸ“ŽStudy paper
πŸ“±Channel: @ComplexNetworkAnalysis
#paper #social_media #overview
πŸ“Booklet: Structure and Dynamics of Information in Networks

πŸ’₯David Kempe, Department of Computer Science, University of Southern California

πŸ—“Publish year: 2021

πŸ“Ž
Study Booklet

πŸ“±Channel: @ComplexNetworkAnalysis
#Booklet #Structure #Dynamics #Information
πŸ‘3
2022_Basics_on_network_theory_to_analyze_biological_systems_a_hands.pdf
3.9 MB
πŸ“„Basics on network theory to analyze biological systems: a hands-on outlook

πŸ“˜Journal: Functional & Integrative Genomics (I.F= 3.41)
πŸ—“Publish year: 2022

πŸ“ŽStudy paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #biological_network
2021_Graph_Theoretical_Analysis_of_Brain_Network_Characteristics.pdf
1.4 MB
πŸ“„Graph Theoretical Analysis of Brain Network Characteristics in Brain Tumor Patients: A Systematic Review

πŸ“˜Journal: Neuropsychology Review (I.F= 6.75)
πŸ—“Publish year: 2021

πŸ“ŽStudy paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Brain #Review
🎞 Eric Ma: Network Analysis Made Simple

πŸ’₯Free recorded tutorial
πŸ”ΉHave you ever wondered about how data scientists at Facebook and LinkedIn make friend recommendations? Or how epidemiologists track down patient zero in an outbreak? If so, then this tutorial is for you. In this tutorial, will use a variety of datasets to help you understand the fundamentals of network thinking, with a particular focus on constructing, summarizing, visualizing, and using complex networks to solve problems

πŸ“½ Watch

πŸ“±Channel: @ComplexNetworkAnalysis

#video
🎞 Machine Learning with Graphs: PageRank Random Walks and embedding

πŸ’₯Free recorded course by Jure Leskovec, Computer Science, PhD

πŸ’₯In this lecture they focus on how to represent graphs as matrices and discuss subsequent properties that can explore. then define the notion of PageRank, further explore Random Walks, and introduce Matrix Factorization as a perspective for generating node embeddings.

πŸ“½ Watch: part1 part2 part3 part4

πŸ“œ Slides

πŸ“²Channel: @ComplexNetworkAnalysis

#video #course #Graph #Machine_Learning
πŸ“„A Review of Complex Systems Approaches to Cancer Networks

πŸ“˜
Journal: Complex Systems
πŸ—“
Publish year: 2020

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #cancer #review
πŸ‘3
πŸ“„Application of Association Rule Mining and Social Network Analysis for Understanding Causality of Construction Defects

πŸ“˜
Journal: SUSTAINABILITY(I.F=3.889)
πŸ—“
Publish year: 2019

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Application #Causality #Defects