📄Community detection in networks: A multidisciplinary review

📘Journal: Journal of Network and Computer Applications(I.F=7.574)
🗓Publish year: 2018

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Community_detection #multidisciplinary #review

📄Complex network approaches to nonlinear time series analysis

📘Journal: Physics Reports (I.F=29.61)
🗓Publish year: 2019

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #time_series

🎞 Machine Learning with Graphs: Traditional Feature-based Methods

💥Free recorded course by Jure Leskovec, Computer Science, PhD

🔸 Encoder-decoder framework:
▫️ Encoder: embedding lookup
▫️ Decoder: predict score based on embedding to match node similarity
🔸 Node similarity measure: (biased) random walk
▫️ Examples: DeepWalk, Node2Vec
🔸 Extension to Graph embedding:
▫️Node embedding aggregation and Anonymous Walk Embeddings

📽 Watch: part1 part2 part3

📜 Slides

📲Channel: @ComplexNetworkAnalysis

#video #course #Graph #Machine_Learning

📄Tensor decomposition for analysing time-evolving social networks: an overview

📘Journal: Artificial Intelligence Review (I.F=9.588)
🗓Publish year: 2020

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Tensor #time_evolving #overview

📄Bipartite graphs in systems biology and medicine: a survey of methods and applications

📘Journal: GIGASCIENCE (I.F=7.658)
🗓Publish year: 2018

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #biology #medicine #applications #survey

📄Investigating Fake and Reliable News Sources Using Complex Networks Analysis

📘Journal: Frontiers in Physics (I.F=3.56)
🗓Publish year: 2022

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #Fake_news #Reliable_News

📄Complex Network Analysis for Knowledge Management and Organizational Intelligence

📘Journal: Journal of the Knowledge Economy (I.F= 2.11)
🗓Publish year: 2020

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Management

📄Complex networks analysis in Iran stock market: The application of centrality

📘Journal: Physica A: Statistical Mechanics and its Applications (I.F= 3.263)
🗓Publish year: 2019

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #centrality

📄Complex network analysis of keywords co-occurrence in the recent efficiency analysis literature

📘Journal: Scientometrics (I.F= 3.238)
🗓Publish year: 2019

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #Co_occurrence_network

📄The network approach to psychopathology: a review of the literature 2008–2018 and an agenda for future research

📘Journal: PSYCHOLOGICAL MEDICINE (I.F=10.592)
🗓Publish year: 2020

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #psychopathology #review

📄Critical Review of Social Network Analysis Applications in Complex Project Management

📘Journal: JOURNAL OF MANAGEMENT IN ENGINEERING (I.F=6.415)
🗓Publish year: 2018

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Applications #Project #Management #review

🎞 How to Analyze Social Media Networks with Kumu and NodeXL

💥Free recorded tutorial
🔹NodeXL 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

📽 Watch

📱Channel: @ComplexNetworkAnalysis

#video #Kumu #NodeXL

📄A Complex Network Perspective on Clinical Science

📘Journal: PERSPECTIVES ON PSYCHOLOGICAL SCIENCE (I.F=11.621)
🗓Publish year: 2016

📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Clinical_Science

📄Graph neural networks for affective social media: A comprehensive overview

📘Conference: THECOG
🗓Publish year: 2022

📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #social_media #overview

📄Basics on network theory to analyze biological systems: a hands-on outlook

📘Journal: Functional & Integrative Genomics (I.F= 3.41)
🗓Publish year: 2022

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #biological_network

📄Graph Theoretical Analysis of Brain Network Characteristics in Brain Tumor Patients: A Systematic Review

📘Journal: Neuropsychology Review (I.F= 6.75)
🗓Publish year: 2021

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #Brain #Review