Network Analysis Resources & Updates – Telegram
Network Analysis Resources & Updates
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🎞 GEPHI – Introduction to network
analysis and visualization

💥Free recorded tutorial by Martin Grandjean
🔹Network analysis and visualization seems to be an interesting tool to give the researcher the ability to see his data from a new angle. As an easy-to-access and powerful network analysis tool, Gephi offers a tutorial that allows anyone to run their first experiment on two complementary datasets

📽 Watch

📱Channel: @ComplexNetworkAnalysis

#video #Gephi #visualization
📄Web Graph Similarity for Anomaly Detection

🗓Publish year: 2009

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #Anomaly_Detection #Graph
📄Network analysis of neuroimaging in mice

📘Journal: NeuroImage(I.F=7.02)
🗓Publish year: 2022

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #neuroimaging
📄Coupled disease–behavior dynamics on complex networks: A review

📘
Journal: PHYSICS OF LIFE REVIEWS(I.F=9.833)
🗓Publish year: 2015

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #disease_behavior_dynamic #review
2022_A_survey_of_brain_network_analysis_by_electroencephalographic.pdf
2.5 MB
📄A survey of brain network analysis by electroencephalographic signals

📘Journal: Cognitive Neurodynamics (I.F=5.082)
🗓Publish year: 2022

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #Brain #EEG
📄Complex network analysis of public transportation networks: A comprehensive study

📘
Conference: 2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)
🗓Publish year: 2015

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #transportation
👍2
🎞 BASICS OF SOCIAL NETWORK ANALYSIS WITH GEPHI

💥This three hour, single-session workshop will introduce participants to analyzing and visualizing social network data with Gephi (gephi.org). We will briefly introduce the fundamental ideas underlying network science, then work through a series of exercises.

📽 Link

📲Channel: @ComplexNetworkAnalysis

#video #Gephi #workshop #event
🎞GEPHI – Introduction to Network Analysis and Visualization

💥Free online tutorial and recorded course

💥Network Analysis and visualization appears to be an interesting tool to give the researcher the ability to see its data from a new angle. Because Gephi is an easy access and powerful network analysis tool, we propose a tutorial designed to allow everyone to make his first experiments on two complementary datasets.

📽 Watch

📲Channel: @ComplexNetworkAnalysis

#video #Gephi #tutorial
👍1
🎓Analysis of EEG signals using complex brain networks

📘PhD’s Dissertation, in University of Southern Queensland Faculty of Health, Engineering and Sciences, by
Guohun Zhu

🗓Publish year: 2014

📎Study Dissertation

📲Channel: @ComplexNetworkAnalysis

#Dissertation #EEG #brain
👍2
🎞 Network Analysis with Python

💥Free recorded tutorial
🔹This tutorial walks you through the process of loading network data into Python and shows you how to run a few network metrics

📽 Watch

📱Channel: @ComplexNetworkAnalysis

#video #python
👍3
2018_Community_detection_in_networks_A_multidisciplinary_review.pdf
4.8 MB
📄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
👍2
2019_Complex_network_approaches_to_nonlinear_time_series_analysis.pdf
8.1 MB
📄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
👍3
📄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
📄A complex network analysis approach for estimation and detection of traffic incidents based on independent component analysis

📘Journal: Physica A: Statistical Mechanics and its Applications (I.F=3.263)
🗓Publish year: 2022

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #traffic
📄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
2020_Complex_Network_Analysis_for_Knowledge_Management_and_Organizational.pdf
1.1 MB
📄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
👍3
2019_Complex_networks_analysis_in_Iran_stock_market_The_application.pdf
886.4 KB
📄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
👍3
2019_Complex_network_analysis_of_keywords_co_occurrence_in_the_recent.pdf
3.2 MB
📄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
👍1