Network Analysis Resources & Updates
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πŸ“„Community detection in node-attributed social networks: A survey

πŸ“˜
Journal: COMPUTER SCIENCE REVIEW (I.F=8.757)

πŸ—“Publish year: 2020

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Community #survey
πŸ“„Metrics for graph comparison: A practitioner’s guide

πŸ“˜Journal: PLOS ONE (I.F= 3.752)
πŸ—“Publish year: 2020

πŸ“ŽStudy paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #compare
πŸ‘2
🎞 Network Analysis. Lecture 1. Introduction to Network Science

πŸ’₯Free recorded tutorial on network science

πŸ’₯Introduction to network science. Complex networks. Examples. Main properties. Scale-free networks. Small world. Six degrees of separation. Milgram study

πŸ“½ Watch

πŸ“±Channel: @ComplexNetworkAnalysis

#video
2016_Social_networks_and_information_retrieval,_how_are_they_converging.pdf
689.2 KB
πŸ“„Social networks and information retrieval, how are they converging? A survey, a taxonomy and an analysis of social information retrieval approaches and platforms

πŸ“˜
Journal: Information systems (I.F=3.18)

πŸ—“Publish year: 2016

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #converging #taxonomy #platforms #survey
2022_Complex_network_based_traffic_network_analysis_and_dynamics.pdf
421.9 KB
πŸ“„Complex-network-based traffic network analysis and dynamics: A comprehensive review

πŸ“˜Journal: Physica A: Statistical Mechanics and its Applications (I.F= 3.95)
πŸ—“Publish year: 2022

πŸ“ŽStudy paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #review #traffic_network
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2012-Graph mining A survey of graph mining techniques.pdf
643.7 KB
πŸ“„Graph mining: A survey of graph mining techniques

πŸ“˜Conference: Seventh International Conference on Digital Information Management (ICDIM 2012)
πŸ—“Publish year: 2012

πŸ“ŽStudy paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #survey #mining
πŸ“„Metrics for Community Analysis: A Survey

πŸ“˜
Conference= International Conference on Computational Intelligence and Communication Networks (CICN)

πŸ—“Publish year: 2016

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Community #survey
πŸ“•What is Social Network Analysis?

πŸ“Authors: Scott, John

πŸ’₯ 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.

πŸ“Ž Study the book

πŸ“²Channel: @ComplexNetworkAnalysis

#book #Social_Network
πŸ‘2
πŸ“„Network analysis of the UK reinsurance market

πŸ“˜Journal: Bank of England Staff Working Paper No. 1,000
πŸ—“Publish year: 2022

πŸ“ŽStudy paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #market
πŸ“„Graph Computing Systems and Partitioning Techniques: A Survey

πŸ“˜Journal: IEEE Access(I.F=3.476)
πŸ—“Publish year: 2022

πŸ“ŽStudy paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Survey
2020_The_four_dimensions_of_social_network_analysis_An_overview.pdf
4.2 MB
πŸ“„The four dimensions of social network analysis: An overview of research methods, applications, and software tools

πŸ“˜Journal: Information Fusion(I.F=12.975)
πŸ—“Publish year: 2020

πŸ“ŽStudy paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #social_network #tool #application
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πŸ“„A Survey on Network Embedding

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

πŸ—“Publish year: 2017

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Embedding #survey
🎞Creating Co-authorship Networks with Sci2

πŸ’₯Free recorded course

πŸ’₯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

πŸ“½ Watch

πŸ“±Channel: @ComplexNetworkAnalysis

#video #Co_authorship_Network
πŸ“„A survey of heterogeneous information network analysis

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

πŸ—“Publish year: 2015

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #heterogeneous #survey
πŸŽ“Network-based Time series Analysis

πŸ“˜Master’s Thesis, from SCHOOL OF SCIENCE & TECHNOLOGY, Lampada Kyriaki

πŸ—“Publish year: 2022

πŸ“ŽStudy Thesis

πŸ“²Channel: @ComplexNetworkAnalysis

#Thesis #Data_Science
πŸ“„A comparative study of similarity-based and GNN-based link prediction approaches

πŸ“˜Journal: Information Fusion(I.F=12.975)
πŸ—“Publish year: 2020

πŸ“ŽStudy paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #link_prediction
🎞 Network visualization with Gephi

πŸ’₯Free recorded tutorial from NIH
πŸ”ΉThis tutorial Provides a practical demonstration of how to visualize co-authoring networks using Gephi

πŸ“½ Watch

πŸ“±Channel: @ComplexNetworkAnalysis

#video #Gephi
πŸŽ“A study of visibility graphs for time series representations

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

πŸ—“Publish year: 2020

πŸ“ŽStudy Thesis

πŸ“²Channel: @ComplexNetworkAnalysis

#visibility_graph #time_series
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πŸ“„Urban Road Transport Network Analysis: Machine Learning and Social Network Approaches

πŸ“˜
Journal: Communications - Scientific Letters of the University of Zilina
πŸ—“Publish year: 2022

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Transport #Machine_Learning
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