🎞Creating Co-authorship Networks with Sci2

💥Free recorded course

💥This course introduces the basic concept of network science and provides a practical demonstration of how to create co-authored networks from Web of Science data using the Science of Science (Sci2) tool

📽 Watch

📱Channel: @ComplexNetworkAnalysis

#video #Co_authorship_Network

📄A survey of heterogeneous information network analysis

📘Journal: IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (I.F=9.235)

🗓Publish year: 2015

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #heterogeneous #survey

🎓Network-based Time series Analysis

📘Master’s Thesis, from SCHOOL OF SCIENCE & TECHNOLOGY, Lampada Kyriaki

🗓Publish year: 2022

📎Study Thesis

📲Channel: @ComplexNetworkAnalysis

#Thesis #Data_Science

📄A comparative study of similarity-based and GNN-based link prediction approaches

📘Journal: Information Fusion(I.F=12.975)
🗓Publish year: 2020

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #link_prediction

🎞 Network visualization with Gephi

💥Free recorded tutorial from NIH
🔹This tutorial Provides a practical demonstration of how to visualize co-authoring networks using Gephi

📽 Watch

📱Channel: @ComplexNetworkAnalysis

#video #Gephi

🎓A study of visibility graphs for time series representations

📘Bachelor’s Degree Project, from Polytechnic University of Catalonia Faculty of Informatics of Barcelona, Carlos Bergillos Varela

🗓Publish year: 2020

📎Study Thesis

📲Channel: @ComplexNetworkAnalysis

#visibility_graph #time_series

📄Urban Road Transport Network Analysis: Machine Learning and Social Network Approaches

📘Journal: Communications - Scientific Letters of the University of Zilina
🗓Publish year: 2022

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Transport #Machine_Learning

🎓Network Comparison and Node Ranking in Complex Networks

📘Phd’s Thesis, in Informatics at the Universities of Minho, Aveiro and Porto Department of Computer Science, David Oliveira Aparício

🗓Publish year: 2018

📎Study Thesis

📲Channel: @ComplexNetworkAnalysis

#Thesis #Node_Ranking #Network_Comparison

🎞 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

📄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

🎞 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

🎓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

🎞 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

📄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