πTensor decomposition for analysing time-evolving social networks: an overview
πJournal: Artificial Intelligence Review (I.F=9.588)
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Tensor #time_evolving #overview
πJournal: Artificial Intelligence Review (I.F=9.588)
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Tensor #time_evolving #overview
πBipartite graphs in systems biology and medicine: a survey of methods and applications
πJournal: GIGASCIENCE (I.F=7.658)
πPublish year: 2018
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #biology #medicine #applications #survey
πJournal: GIGASCIENCE (I.F=7.658)
πPublish year: 2018
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #biology #medicine #applications #survey
πA complex network analysis approach for estimation and detection of traffic incidents based on independent component analysis
πJournal: Physica A: Statistical Mechanics and its Applications (I.F=3.263)
πPublish year: 2022
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #traffic
πJournal: Physica A: Statistical Mechanics and its Applications (I.F=3.263)
πPublish year: 2022
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #traffic
πInvestigating Fake and Reliable News Sources Using Complex Networks Analysis
πJournal: Frontiers in Physics (I.F=3.56)
πPublish year: 2022
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Fake_news #Reliable_News
πJournal: Frontiers in Physics (I.F=3.56)
πPublish year: 2022
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Fake_news #Reliable_News
2020_Complex_Network_Analysis_for_Knowledge_Management_and_Organizational.pdf
1.1 MB
πComplex Network Analysis for Knowledge Management and Organizational Intelligence
πJournal: Journal of the Knowledge Economy (I.F= 2.11)
πPublish year: 2020
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Management
πJournal: Journal of the Knowledge Economy (I.F= 2.11)
πPublish year: 2020
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Management
π3
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
π3
2019_Complex_network_analysis_of_keywords_co_occurrence_in_the_recent.pdf
3.2 MB
πComplex network analysis of keywords co-occurrence in the recent efficiency analysis literature
πJournal: Scientometrics (I.F= 3.238)
πPublish year: 2019
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Co_occurrence_network
πJournal: Scientometrics (I.F= 3.238)
πPublish year: 2019
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Co_occurrence_network
π1
πThe network approach to psychopathology: a review of the literature 2008β2018 and an agenda for future research
πJournal: PSYCHOLOGICAL MEDICINE (I.F=10.592)
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #psychopathology #review
πJournal: PSYCHOLOGICAL MEDICINE (I.F=10.592)
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #psychopathology #review
2018_Critical_Review_of_Social_Network_Analysis_Applications_in.pdf
6.1 MB
πCritical Review of Social Network Analysis Applications in Complex Project Management
πJournal: JOURNAL OF MANAGEMENT IN ENGINEERING (I.F=6.415)
πPublish year: 2018
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Applications #Project #Management #review
πJournal: JOURNAL OF MANAGEMENT IN ENGINEERING (I.F=6.415)
πPublish year: 2018
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Applications #Project #Management #review
π How to Analyze Social Media Networks with Kumu and NodeXL
π₯Free recorded tutorial
πΉNodeXL and Kumu are two powerful free tools for social network analysis. NodeXL is excellent for gathering social media data but it is more challenging (for beginners) to generate understandable visualizations. Kumu on the other hand is an excellent tool for social network analysis, but you can't collect social media data using the tool. Here's how to combine the two together
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Kumu #NodeXL
π₯Free recorded tutorial
πΉNodeXL and Kumu are two powerful free tools for social network analysis. NodeXL is excellent for gathering social media data but it is more challenging (for beginners) to generate understandable visualizations. Kumu on the other hand is an excellent tool for social network analysis, but you can't collect social media data using the tool. Here's how to combine the two together
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Kumu #NodeXL
YouTube
Tutorial - How to Analyze Social Media Networks with Kumu and NodeXL
Update: Since X, or Twitter shut down the public api - this is probably no longer valid.
NodeXL and Kumu are two powerful free tools for social network analysis. NodeXL is excellent for gathering social media data but it is more challenging (for beginners)β¦
NodeXL and Kumu are two powerful free tools for social network analysis. NodeXL is excellent for gathering social media data but it is more challenging (for beginners)β¦
π2
2016_A Complex Network Perspective on Clinical Science.pdf
563.8 KB
πA Complex Network Perspective on Clinical Science
πJournal: PERSPECTIVES ON PSYCHOLOGICAL SCIENCE (I.F=11.621)
πPublish year: 2016
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Clinical_Science
πJournal: PERSPECTIVES ON PSYCHOLOGICAL SCIENCE (I.F=11.621)
πPublish year: 2016
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Clinical_Science
πGraph neural networks for affective social media: A comprehensive overview
πConference: THECOG
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #social_media #overview
πConference: THECOG
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #social_media #overview
πBooklet: Structure and Dynamics of Information in Networks
π₯David Kempe, Department of Computer Science, University of Southern California
πPublish year: 2021
πStudy Booklet
π±Channel: @ComplexNetworkAnalysis
#Booklet #Structure #Dynamics #Information
π₯David Kempe, Department of Computer Science, University of Southern California
πPublish year: 2021
πStudy Booklet
π±Channel: @ComplexNetworkAnalysis
#Booklet #Structure #Dynamics #Information
π3
2022_Basics_on_network_theory_to_analyze_biological_systems_a_hands.pdf
3.9 MB
πBasics on network theory to analyze biological systems: a hands-on outlook
πJournal: Functional & Integrative Genomics (I.F= 3.41)
πPublish year: 2022
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #biological_network
πJournal: Functional & Integrative Genomics (I.F= 3.41)
πPublish year: 2022
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #biological_network
2021_Graph_Theoretical_Analysis_of_Brain_Network_Characteristics.pdf
1.4 MB
πGraph Theoretical Analysis of Brain Network Characteristics in Brain Tumor Patients: A Systematic Review
πJournal: Neuropsychology Review (I.F= 6.75)
πPublish year: 2021
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Brain #Review
πJournal: Neuropsychology Review (I.F= 6.75)
πPublish year: 2021
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Brain #Review
π Eric Ma: Network Analysis Made Simple
π₯Free recorded tutorial
πΉHave you ever wondered about how data scientists at Facebook and LinkedIn make friend recommendations? Or how epidemiologists track down patient zero in an outbreak? If so, then this tutorial is for you. In this tutorial, will use a variety of datasets to help you understand the fundamentals of network thinking, with a particular focus on constructing, summarizing, visualizing, and using complex networks to solve problems
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video
π₯Free recorded tutorial
πΉHave you ever wondered about how data scientists at Facebook and LinkedIn make friend recommendations? Or how epidemiologists track down patient zero in an outbreak? If so, then this tutorial is for you. In this tutorial, will use a variety of datasets to help you understand the fundamentals of network thinking, with a particular focus on constructing, summarizing, visualizing, and using complex networks to solve problems
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video
YouTube
Tutorial - Eric Ma: Network Analysis Made Simple
Have you ever wondered about how data scientists at Facebook and LinkedIn make friend recommendations? Or how epidemiologists track down patient zero in an outbreak? If so, then this tutorial is for you. In this tutorial, we will use a variety of datasetsβ¦
π Machine Learning with Graphs: PageRank Random Walks and embedding
π₯Free recorded course by Jure Leskovec, Computer Science, PhD
π₯In this lecture they focus on how to represent graphs as matrices and discuss subsequent properties that can explore. then define the notion of PageRank, further explore Random Walks, and introduce Matrix Factorization as a perspective for generating node embeddings.
π½ Watch: part1 part2 part3 part4
π Slides
π²Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning
π₯Free recorded course by Jure Leskovec, Computer Science, PhD
π₯In this lecture they focus on how to represent graphs as matrices and discuss subsequent properties that can explore. then define the notion of PageRank, further explore Random Walks, and introduce Matrix Factorization as a perspective for generating node embeddings.
π½ Watch: part1 part2 part3 part4
π Slides
π²Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning
YouTube
Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 4.1 - PageRank
For more information about Stanfordβs Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3pGwEKo
Jure Leskovec
Computer Science, PhD
In this lecture we focus on how to represent graphs as matrices and discuss subsequentβ¦
Jure Leskovec
Computer Science, PhD
In this lecture we focus on how to represent graphs as matrices and discuss subsequentβ¦
πA Review of Complex Systems Approaches to Cancer Networks
πJournal: Complex Systems
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #cancer #review
πJournal: Complex Systems
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #cancer #review
π3
πApplication of Association Rule Mining and Social Network Analysis for Understanding Causality of Construction Defects
πJournal: SUSTAINABILITY(I.F=3.889)
πPublish year: 2019
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Application #Causality #Defects
πJournal: SUSTAINABILITY(I.F=3.889)
πPublish year: 2019
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Application #Causality #Defects