π A GENTLE INTRODUCTION TO THE WORLD OF NETWORK SCIENCE
π₯Free recorded webinar by Pedro Ribeiro
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #networks_science
π₯Free recorded webinar by Pedro Ribeiro
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #networks_science
YouTube
DaSSWeb - 'A GENTLE INTRODUCTION TO THE WORLD OF NETWORK SCIENCE'
Pedro Ribeiro
Assistant Professor at the University of Porto
Assistant Professor at the University of Porto
π1
πMultilayer Networks in a Nutshell
πJournal: Annual Review of Condensed Matter Physics (I.F=23.978)
πPublish year: 2018
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Multilayer_Networks
πJournal: Annual Review of Condensed Matter Physics (I.F=23.978)
πPublish year: 2018
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Multilayer_Networks
π An Introduction to Social Network Analysis: Part 1
π₯Free recorded workshop on Social Network Analysis (SNA)
π₯ Part 1 of the workshop provides an introduction to social network concepts, theories, and substantive problems. A brief history of SNA is given
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video
π₯Free recorded workshop on Social Network Analysis (SNA)
π₯ Part 1 of the workshop provides an introduction to social network concepts, theories, and substantive problems. A brief history of SNA is given
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video
πOpen Graph Benchmark: Datasets for Machine Learning on Graphs
π₯Advances in Neural Information Processing Systems 33 (NeurIPS 2020)
πPublish year: 2020
π Study paper
π²Channel: @ComplexNetworkAnalysis
#paper #Machine_Learning #Graphs
π₯Advances in Neural Information Processing Systems 33 (NeurIPS 2020)
πPublish year: 2020
π Study paper
π²Channel: @ComplexNetworkAnalysis
#paper #Machine_Learning #Graphs
π1
π Methods Matter - Social Network Analysis
π₯ free recorded podcast on Social Network Analysis
π§ listen
π±Channel: @ComplexNetworkAnalysis
#podcast
π₯ free recorded podcast on Social Network Analysis
π§ listen
π±Channel: @ComplexNetworkAnalysis
#podcast
YouTube
Methods Matter - Social Network Analysis
The Methods Matter Podcast - from Dementia Researcher & the National Centre for Research Methods. A podcast for people who don't know much about methods...those who do, and those who just want to find news and clever ways to use them in their research.
Inβ¦
Inβ¦
π1
πMultilayer networks: aspects, implementations, and application in biomedicine
πJournal: Big Data Analytics
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #application #biomedicine
πJournal: Big Data Analytics
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #application #biomedicine
π Network Motifs
π₯Free recorded course
π½ Watch
π²Channel: @ComplexNetworkAnalysis
#video #course #clustering #motif
π₯Free recorded course
π½ Watch
π²Channel: @ComplexNetworkAnalysis
#video #course #clustering #motif
YouTube
24 - Network Motifs
Motif, null model, modularity, randomizing networks, bi-fan, feed-forward loop, bi-parallel, feed-back loop, motif clusters, subgraph sampling
2018_Study_on_centrality_measures_in_social_networks_a_survey.pdf
1.2 MB
πStudy on centrality measures in social networks: a survey
πJournal: Social Network Analysis and Mining (I.F=3.868)
πPublish year: 2018
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_Networks #survey #centrality
πJournal: Social Network Analysis and Mining (I.F=3.868)
πPublish year: 2018
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_Networks #survey #centrality
2015_Network_analysis_for_a_network_disorder_The_emerging_role_of.pdf
1.7 MB
πNetwork analysis for a network disorder: The emerging role of graph theory in the study of epilepsy
πJournal:Epilepsy & Behavior (I.F=2.937)
πPublish year: 2015
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #epilepsy
πJournal:Epilepsy & Behavior (I.F=2.937)
πPublish year: 2015
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #epilepsy
π2
πGraph Theory in the Information Age
π₯This article is based on the Noether Lecture given at the
AMS-MAA-SIAM Annual Meeting, January 2009, Washington D. C.
πPublish year: 2010
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
π₯This article is based on the Noether Lecture given at the
AMS-MAA-SIAM Annual Meeting, January 2009, Washington D. C.
πPublish year: 2010
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
πStructure and tie strengths in mobile communication networks
πJournal: PNAS (I.F=11.205)
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #mobile_communication
πJournal: PNAS (I.F=11.205)
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #mobile_communication
πA Critical Review of Centrality Measures in Social Networks
πJournal: Business & Information Systems Engineering (I.F=4.532)
πPublish year: 2010
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_Networks #Review #Centrality
πJournal: Business & Information Systems Engineering (I.F=4.532)
πPublish year: 2010
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_Networks #Review #Centrality
π Machine Learning with Graphs: Choice of Graph Representation
π₯Free recorded course by Jure Leskovec, Computer Science, PhD
π₯One essential task to consider before we conduct machine learning on graphs is to find an appropriate way to represent the graphs. What are the factors that will affect our choices as to the representations? In this video, weβll be looking at the different approaches to abstracting graphs: directed vs. undirected, weighted vs. unweighted, homogeneous vs bipartite, and so on.
π½ Watch
π Slides
π²Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning
π₯Free recorded course by Jure Leskovec, Computer Science, PhD
π₯One essential task to consider before we conduct machine learning on graphs is to find an appropriate way to represent the graphs. What are the factors that will affect our choices as to the representations? In this video, weβll be looking at the different approaches to abstracting graphs: directed vs. undirected, weighted vs. unweighted, homogeneous vs bipartite, and so on.
π½ Watch
π Slides
π²Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning
YouTube
Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 1.3 - Choice of Graph Representationβ
For more information about Stanfordβs Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3CmrFSE
Jure Leskovec
Computer Science, PhD
One essential task to consider before we conduct machine learning on graphs is to findβ¦
Jure Leskovec
Computer Science, PhD
One essential task to consider before we conduct machine learning on graphs is to findβ¦
πNetwork analysis: A new way of understanding psychopathology?
πJournal: Revista de PsiquiatrΓa y Salud Mental(I.F= 6.795)
πPublish year: 2017
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #psychopathology
πJournal: Revista de PsiquiatrΓa y Salud Mental(I.F= 6.795)
πPublish year: 2017
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #psychopathology
πCut Based Method for Comparing Complex Networks
πJournal: Scientific Reports (I.F=4.996)
πPublish year: 2018
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
πJournal: Scientific Reports (I.F=4.996)
πPublish year: 2018
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
2019_Complex_networks_analysis_in_Iran_stock_market_The_application.pdf
886.4 KB
πComplex networks analysis in Iran stock market: The application of centrality
πJournal: Physica A: Statistical Mechanics and its Applications (I.F=3.263)
πPublish year: 2019
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #centrality
πJournal: Physica A: Statistical Mechanics and its Applications (I.F=3.263)
πPublish year: 2019
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #centrality
2022_A_review_on_community_structures_detection_in_time_evolving.pdf
1.7 MB
πA review on community structures detection in time evolving social networks
πJournal: Journal of King Saud University - Computer and Information Sciences (I.F=8.839)
πPublish year: 2021
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #community #review
πJournal: Journal of King Saud University - Computer and Information Sciences (I.F=8.839)
πPublish year: 2021
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #community #review
π Introduction to Pathway and Network Analysis
π₯Free recorded lecture by Juri Reimand
π₯This is the twelfth module in the 2017 High-Throughput Biology: From Sequence to Networks workshop hosted by the Canadian Bioinformatics Workshops at Cold Spring Harbor Labs.
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Pathway #networks_science
π₯Free recorded lecture by Juri Reimand
π₯This is the twelfth module in the 2017 High-Throughput Biology: From Sequence to Networks workshop hosted by the Canadian Bioinformatics Workshops at Cold Spring Harbor Labs.
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Pathway #networks_science
YouTube
Introduction to Pathway and Network Analysis
This is the twelfth module in the 2017 High-Throughput Biology: From Sequence to Networks workshop hosted by the Canadian Bioinformatics Workshops at Cold Spring Harbor Labs. This lecture is by Juri Reimand from the Ontario Institute for Cancer Research.β¦
πA NETWORK ANALYSIS OF COVID-19 IN THE UNITED STATES
πMasterβs Thesis, from California Polytechnic State University, San Luis Obispo
πPublish year: 2022
πStudy Thesis
π²Channel: @ComplexNetworkAnalysis
#Thesis #COVID_19
πMasterβs Thesis, from California Polytechnic State University, San Luis Obispo
πPublish year: 2022
πStudy Thesis
π²Channel: @ComplexNetworkAnalysis
#Thesis #COVID_19
π2
π A Beginners Guide to Network Meta Analysis - Dr Chris Noone
π₯Free recorded webinar by Dr Chris Noone.
π₯Through reference to a recently published example, this webinar will guide attendees through the steps of preparing and conducting a study involving network meta-analysis.
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Network_Meta_Analysis
π₯Free recorded webinar by Dr Chris Noone.
π₯Through reference to a recently published example, this webinar will guide attendees through the steps of preparing and conducting a study involving network meta-analysis.
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Network_Meta_Analysis
YouTube
A Beginners Guide to Network Meta Analysis - Dr Chris Noone
Through reference to a recently published example, this webinar will guide attendees through the steps of preparing and conducting a study involving network meta-analysis. It will highlight how network meta-analysis differs from traditional pairwise metaβ¦