2018_Community_detection_in_networks_A_multidisciplinary_review.pdf
4.8 MB
📄Community detection in networks: A multidisciplinary review
📘Journal: Journal of Network and Computer Applications(I.F=7.574)
🗓Publish year: 2018
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Community_detection #multidisciplinary #review
📘Journal: Journal of Network and Computer Applications(I.F=7.574)
🗓Publish year: 2018
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Community_detection #multidisciplinary #review
👍2
2019_Complex_network_approaches_to_nonlinear_time_series_analysis.pdf
8.1 MB
📄Complex network approaches to nonlinear time series analysis
📘Journal: Physics Reports (I.F=29.61)
🗓Publish year: 2019
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #time_series
📘Journal: Physics Reports (I.F=29.61)
🗓Publish year: 2019
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #time_series
🎞 Machine Learning with Graphs: Traditional Feature-based Methods
💥Free recorded course by Jure Leskovec, Computer Science, PhD
🔸 Encoder-decoder framework:
▫️ Encoder: embedding lookup
▫️ Decoder: predict score based on embedding to match node similarity
🔸 Node similarity measure: (biased) random walk
▫️ Examples: DeepWalk, Node2Vec
🔸 Extension to Graph embedding:
▫️Node embedding aggregation and Anonymous Walk Embeddings
📽 Watch: part1 part2 part3
📜 Slides
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning
💥Free recorded course by Jure Leskovec, Computer Science, PhD
🔸 Encoder-decoder framework:
▫️ Encoder: embedding lookup
▫️ Decoder: predict score based on embedding to match node similarity
🔸 Node similarity measure: (biased) random walk
▫️ Examples: DeepWalk, Node2Vec
🔸 Extension to Graph embedding:
▫️Node embedding aggregation and Anonymous Walk Embeddings
📽 Watch: part1 part2 part3
📜 Slides
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning
👍3
📄Tensor decomposition for analysing time-evolving social networks: an overview
📘Journal: Artificial Intelligence Review (I.F=9.588)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Tensor #time_evolving #overview
📘Journal: Artificial Intelligence Review (I.F=9.588)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Tensor #time_evolving #overview
📄Bipartite graphs in systems biology and medicine: a survey of methods and applications
📘Journal: GIGASCIENCE (I.F=7.658)
🗓Publish year: 2018
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #biology #medicine #applications #survey
📘Journal: GIGASCIENCE (I.F=7.658)
🗓Publish year: 2018
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #biology #medicine #applications #survey
📄A complex network analysis approach for estimation and detection of traffic incidents based on independent component analysis
📘Journal: Physica A: Statistical Mechanics and its Applications (I.F=3.263)
🗓Publish year: 2022
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #traffic
📘Journal: Physica A: Statistical Mechanics and its Applications (I.F=3.263)
🗓Publish year: 2022
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #traffic
📄Investigating Fake and Reliable News Sources Using Complex Networks Analysis
📘Journal: Frontiers in Physics (I.F=3.56)
🗓Publish year: 2022
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Fake_news #Reliable_News
📘Journal: Frontiers in Physics (I.F=3.56)
🗓Publish year: 2022
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Fake_news #Reliable_News
2020_Complex_Network_Analysis_for_Knowledge_Management_and_Organizational.pdf
1.1 MB
📄Complex Network Analysis for Knowledge Management and Organizational Intelligence
📘Journal: Journal of the Knowledge Economy (I.F= 2.11)
🗓Publish year: 2020
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Management
📘Journal: Journal of the Knowledge Economy (I.F= 2.11)
🗓Publish year: 2020
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Management
👍3
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
👍3
2019_Complex_network_analysis_of_keywords_co_occurrence_in_the_recent.pdf
3.2 MB
📄Complex network analysis of keywords co-occurrence in the recent efficiency analysis literature
📘Journal: Scientometrics (I.F= 3.238)
🗓Publish year: 2019
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Co_occurrence_network
📘Journal: Scientometrics (I.F= 3.238)
🗓Publish year: 2019
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Co_occurrence_network
👍1
📄The network approach to psychopathology: a review of the literature 2008–2018 and an agenda for future research
📘Journal: PSYCHOLOGICAL MEDICINE (I.F=10.592)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #psychopathology #review
📘Journal: PSYCHOLOGICAL MEDICINE (I.F=10.592)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #psychopathology #review
2018_Critical_Review_of_Social_Network_Analysis_Applications_in.pdf
6.1 MB
📄Critical Review of Social Network Analysis Applications in Complex Project Management
📘Journal: JOURNAL OF MANAGEMENT IN ENGINEERING (I.F=6.415)
🗓Publish year: 2018
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Applications #Project #Management #review
📘Journal: JOURNAL OF MANAGEMENT IN ENGINEERING (I.F=6.415)
🗓Publish year: 2018
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Applications #Project #Management #review
🎞 How to Analyze Social Media Networks with Kumu and NodeXL
💥Free recorded tutorial
🔹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) 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
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Kumu #NodeXL
💥Free recorded tutorial
🔹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) 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
📽 Watch
📱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)…
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)…
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2016_A Complex Network Perspective on Clinical Science.pdf
563.8 KB
📄A Complex Network Perspective on Clinical Science
📘Journal: PERSPECTIVES ON PSYCHOLOGICAL SCIENCE (I.F=11.621)
🗓Publish year: 2016
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Clinical_Science
📘Journal: PERSPECTIVES ON PSYCHOLOGICAL SCIENCE (I.F=11.621)
🗓Publish year: 2016
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Clinical_Science
📄Graph neural networks for affective social media: A comprehensive overview
📘Conference: THECOG
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #social_media #overview
📘Conference: THECOG
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #social_media #overview
📝Booklet: Structure and Dynamics of Information in Networks
💥David Kempe, Department of Computer Science, University of Southern California
🗓Publish year: 2021
📎Study Booklet
📱Channel: @ComplexNetworkAnalysis
#Booklet #Structure #Dynamics #Information
💥David Kempe, Department of Computer Science, University of Southern California
🗓Publish year: 2021
📎Study Booklet
📱Channel: @ComplexNetworkAnalysis
#Booklet #Structure #Dynamics #Information
👍3
2022_Basics_on_network_theory_to_analyze_biological_systems_a_hands.pdf
3.9 MB
📄Basics on network theory to analyze biological systems: a hands-on outlook
📘Journal: Functional & Integrative Genomics (I.F= 3.41)
🗓Publish year: 2022
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #biological_network
📘Journal: Functional & Integrative Genomics (I.F= 3.41)
🗓Publish year: 2022
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #biological_network
2021_Graph_Theoretical_Analysis_of_Brain_Network_Characteristics.pdf
1.4 MB
📄Graph Theoretical Analysis of Brain Network Characteristics in Brain Tumor Patients: A Systematic Review
📘Journal: Neuropsychology Review (I.F= 6.75)
🗓Publish year: 2021
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Brain #Review
📘Journal: Neuropsychology Review (I.F= 6.75)
🗓Publish year: 2021
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Brain #Review
🎞 Eric Ma: Network Analysis Made Simple
💥Free recorded tutorial
🔹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, 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
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video
💥Free recorded tutorial
🔹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, 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
📽 Watch
📱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 datasets…