Network Analysis Resources & Updates – Telegram
Network Analysis Resources & Updates
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📄Metrics for Community Analysis: A Survey

📘
Conference= International Conference on Computational Intelligence and Communication Networks (CICN)

🗓Publish year: 2016

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Community #survey
📕What is Social Network Analysis?

📝Authors: Scott, John

💥 This book introduces the non-specialist reader to the principal ideas, nature and purpose of social network analysis. Social networks operate on many levels, from families up to the level of nations, and play a critical role in determining the way problems are solved, organizations are run, and the degree to which individuals achieve their goals. Social network theory maps these relationships between individual actors. Though relatively new on the scene it has become hugely influential across the social sciences. Assuming no prior knowledge of quantitative sociology, this book presents the key ideas in context through examples and illustrations.

📎 Study the book

📲Channel: @ComplexNetworkAnalysis

#book #Social_Network
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📄Network analysis of the UK reinsurance market

📘Journal: Bank of England Staff Working Paper No. 1,000
🗓Publish year: 2022

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #market
📄Graph Computing Systems and Partitioning Techniques: A Survey

📘Journal: IEEE Access(I.F=3.476)
🗓Publish year: 2022

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #Survey
2020_The_four_dimensions_of_social_network_analysis_An_overview.pdf
4.2 MB
📄The four dimensions of social network analysis: An overview of research methods, applications, and software tools

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

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #social_network #tool #application
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📄A Survey on Network Embedding

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

🗓Publish year: 2017

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Embedding #survey
🎞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
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📄Urban Road Transport Network Analysis: Machine Learning and Social Network Approaches

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

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Transport #Machine_Learning
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🎓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

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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

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

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #transportation
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🎞 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