2015_Network_analysis_for_a_network_disorder_The_emerging_role_of.pdf
1.7 MB
📄Network analysis for a network disorder: The emerging role of graph theory in the study of epilepsy
📘Journal:Epilepsy & Behavior (I.F=2.937)
🗓Publish year: 2015
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #epilepsy
📘Journal:Epilepsy & Behavior (I.F=2.937)
🗓Publish year: 2015
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #epilepsy
👍2
📄Graph Theory in the Information Age
💥This article is based on the Noether Lecture given at the
AMS-MAA-SIAM Annual Meeting, January 2009, Washington D. C.
🗓Publish year: 2010
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper
💥This article is based on the Noether Lecture given at the
AMS-MAA-SIAM Annual Meeting, January 2009, Washington D. C.
🗓Publish year: 2010
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper
📄Structure and tie strengths in mobile communication networks
📘Journal: PNAS (I.F=11.205)
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #mobile_communication
📘Journal: PNAS (I.F=11.205)
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #mobile_communication
📄A Critical Review of Centrality Measures in Social Networks
📘Journal: Business & Information Systems Engineering (I.F=4.532)
🗓Publish year: 2010
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Social_Networks #Review #Centrality
📘Journal: Business & Information Systems Engineering (I.F=4.532)
🗓Publish year: 2010
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Social_Networks #Review #Centrality
🎞 Machine Learning with Graphs: Choice of Graph Representation
💥Free recorded course by Jure Leskovec, Computer Science, PhD
💥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, we’ll be looking at the different approaches to abstracting graphs: directed vs. undirected, weighted vs. unweighted, homogeneous vs bipartite, and so on.
📽 Watch
📜 Slides
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning
💥Free recorded course by Jure Leskovec, Computer Science, PhD
💥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, we’ll be looking at the different approaches to abstracting graphs: directed vs. undirected, weighted vs. unweighted, homogeneous vs bipartite, and so on.
📽 Watch
📜 Slides
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning
YouTube
Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 1.3 - Choice of Graph Representation
For more information about Stanford’s 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 find…
Jure Leskovec
Computer Science, PhD
One essential task to consider before we conduct machine learning on graphs is to find…
📄Network analysis: A new way of understanding psychopathology?
📘Journal: Revista de Psiquiatría y Salud Mental(I.F= 6.795)
🗓Publish year: 2017
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #psychopathology
📘Journal: Revista de Psiquiatría y Salud Mental(I.F= 6.795)
🗓Publish year: 2017
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #psychopathology
📄Cut Based Method for Comparing Complex Networks
📘Journal: Scientific Reports (I.F=4.996)
🗓Publish year: 2018
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper
📘Journal: Scientific Reports (I.F=4.996)
🗓Publish year: 2018
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper
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
📘Journal: Physica A: Statistical Mechanics and its Applications (I.F=3.263)
🗓Publish year: 2019
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #centrality
2022_A_review_on_community_structures_detection_in_time_evolving.pdf
1.7 MB
📄A review on community structures detection in time evolving social networks
📘Journal: Journal of King Saud University - Computer and Information Sciences (I.F=8.839)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #community #review
📘Journal: Journal of King Saud University - Computer and Information Sciences (I.F=8.839)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #community #review
🎞 Introduction to Pathway and Network Analysis
💥Free recorded lecture by Juri Reimand
💥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.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Pathway #networks_science
💥Free recorded lecture by Juri Reimand
💥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.
📽 Watch
📱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.…
🎓A NETWORK ANALYSIS OF COVID-19 IN THE UNITED STATES
📘Master’s Thesis, from California Polytechnic State University, San Luis Obispo
🗓Publish year: 2022
📎Study Thesis
📲Channel: @ComplexNetworkAnalysis
#Thesis #COVID_19
📘Master’s Thesis, from California Polytechnic State University, San Luis Obispo
🗓Publish year: 2022
📎Study Thesis
📲Channel: @ComplexNetworkAnalysis
#Thesis #COVID_19
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🎞 A Beginners Guide to Network Meta Analysis - Dr Chris Noone
💥Free recorded webinar by 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.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Network_Meta_Analysis
💥Free recorded webinar by 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.
📽 Watch
📱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 meta…
📕 Analysis of Biological Networks
📎 Study the book
📱Channel: @ComplexNetworkAnalysis
#book #Biological_Networks
📎 Study the book
📱Channel: @ComplexNetworkAnalysis
#book #Biological_Networks
📄Link Prediction on Complex Networks: An Experimental Survey
📘Journal: DATA SCIENCE AND ENGINEERING
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Link_Prediction #survey
📘Journal: DATA SCIENCE AND ENGINEERING
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Link_Prediction #survey
👍2
📄A Survey on Network Embedding
📘Journal: IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING(I.F=9.235)
🗓Publish year: 2017
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Embedding #survey
📘Journal: IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING(I.F=9.235)
🗓Publish year: 2017
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Embedding #survey
📄Centrality Analysis Methods for Biological Networks and Their Application to Gene Regulatory Networks
📘Journal: SAGE(I.F=1.356)
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #centrality #Biological_Networks #Gene_Regulatory_Networks
📘Journal: SAGE(I.F=1.356)
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #centrality #Biological_Networks #Gene_Regulatory_Networks
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📄Network analysis of multivariate data in psychological science
📘Journal: Nature Reviews Methods Primers (Nat Rev Methods Primers)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #psychological_science
📘Journal: Nature Reviews Methods Primers (Nat Rev Methods Primers)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #psychological_science
🎞 Machine Learning with Graphs: Traditional Feature-based Methods
💥Free recorded course by Jure Leskovec, Computer Science, PhD
💥Traditional Feature-based Methods: Node-level features ,Link-level features ,Graph-level features
📽 Watch: part1 part2 part3
📜 Slides
💻Codes: code1 code2
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning #code #python
💥Free recorded course by Jure Leskovec, Computer Science, PhD
💥Traditional Feature-based Methods: Node-level features ,Link-level features ,Graph-level features
📽 Watch: part1 part2 part3
📜 Slides
💻Codes: code1 code2
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning #code #python
YouTube
Stanford CS224W: ML with Graphs | 2021 | Lecture 2.1 - Traditional Feature-based Methods: Node
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/2ZnSo2T
Traditional Feature-based Methods: Node-level features
Jure Leskovec
Computer Science, PhD
Starting from this video, we’ll…
Traditional Feature-based Methods: Node-level features
Jure Leskovec
Computer Science, PhD
Starting from this video, we’ll…
👍3
📕Handbook of Graph Drawing and Visualization
💥Free Book by Roberto Tamassia
📎 Study the book
📲Channel: @ComplexNetworkAnalysis
#book #Graph
💥Free Book by Roberto Tamassia
📎 Study the book
📲Channel: @ComplexNetworkAnalysis
#book #Graph
👍3
Network Analysis in the Social Sciences.pdf
167.2 KB
📄Network Analysis in the Social Sciences
📘Journal: SCIENCE (I.F=47.728)
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Social_Sciences
📘Journal: SCIENCE (I.F=47.728)
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Social_Sciences
📄Nine quick tips for analyzing network data
📘Journal: PLoS Comput Biol (I.F=4.475)
🗓Publish year: 2019
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper
📘Journal: PLoS Comput Biol (I.F=4.475)
🗓Publish year: 2019
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper
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