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Network Analysis Resources & Updates

Network Analysis Resources & Updates

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📄Social Network Analysis Visualization Tools: A Comparative Review 📘Journal: International Journal of Information Managemen
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📄Social Network Analysis Visualization Tools: A Comparative Review 📘Journal: International Journal of Information Management (I.F=14.098) 🗓Publish year: 2021 📎Study paper 📲Channel: @ComplexNetworkAnalysis #paper #Social_network #Review #Tools

📄Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges 📘Journal: IEEE Access (I.F=3.476) 🗓Publ
📄Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges 📘Journal: IEEE Access (I.F=3.476) 🗓Publish year: 2022 📎Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Anomaly_Detection #Challenges

🎞 Machine Learning with Graphs: Node Embeddings 💥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 📲Channel: @ComplexNetworkAnalysis #video #course #Graph #Machine_Learning

📄Interactively Visualize and Analyze Social Network Gephi 📘Conference : 2020 3rd International Conference on Computing, Mathematics and Engineering Technologies 🗓Publish year: 2020 📎Study paper 📲Channel: @ComplexNetworkAnalysis #paper #Gephi #Social_Network

📄Temporal Link Prediction: A Unified Framework, Taxonomy, and Review 📘Journal: Social and Information Networks 🗓Publish ye
📄Temporal Link Prediction: A Unified Framework, Taxonomy, and Review 📘Journal: Social and Information Networks 🗓Publish year: 2022 📎Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Link_Prediction #Taxonomy #review

🎞 Dmitry Zinoviev - Complex networks and their analysis in Python | Literary Festival 2021 💥Free recorded talk by Dmitry Zinoviev's titled Complex networks and their analysis in Python 📽 Watch 📱Channel: @ComplexNetworkAnalysis #video

📄Combining complex networks and data mining: Why and how 📘Journal: PHYSICS REPORTS (I.F=30.51) 🗓Publish year: 2016 📎Study paper 📱Channel: @ComplexNetworkAnalysis #paper #data_mining

📄Network Representation Learning: A Survey 📘Journal: JOURNAL OF BIOMEDICAL INFORMATICSIEEE Transactions on Big Data (I.F=4.
📄Network Representation Learning: A Survey 📘Journal: JOURNAL OF BIOMEDICAL INFORMATICSIEEE Transactions on Big Data (I.F=4.271) 🗓Publish year: 2018 📎Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Representation #survey

🎞 Social Network Analysis of Signed Networks with Reddit and Twitter data 💥Free recorded Bootcamp 💥Social Media Lab’s Computational Social Science (CSS) Bootcamp (Summer 2021 Edition) to learn how to use Communalytic, a new research tool designed to study online communities and online discourse. 📽 Watch 📱Channel: @ComplexNetworkAnalysis #video #Reddit_data #Twitter_data

📄Network analysis with biological data of cancer patients: A scoping review 📘Journal: JOURNAL OF BIOMEDICAL INFORMATICS (I.
📄Network analysis with biological data of cancer patients: A scoping review 📘Journal: JOURNAL OF BIOMEDICAL INFORMATICS (I.F=8) 🗓Publish year: 2021 📎Study paper 📱Channel: @ComplexNetworkAnalysis #paper #biological #cancer #review

🎞 Network Analysis 💥Free recorded webinar by Valentina Kuskova, PhD, academic supervisor of HSE University's online Master of Data & Network Analytics (MDNA) degree program 📽 Watch 📲Channel: @ComplexNetworkAnalysis #video #webinar

🎞 Social Network Analysis of Signed Networks with Reddit and Twitter data 💥Free recorded Bootcamp 💥Social Media Lab’s Computational Social Science (CSS) Bootcamp (Summer 2021 Edition) to learn how to use Communalytic, a new research tool designed to study online communities and online discourse. 📽 Watch 📱Channel: @ComplexNetworkAnalysis #video #Reddit_data #Twitter_data

Repost from Bioinformatics
📑A systematic survey of centrality measures for protein-protein interaction networks 📘Journal: BMC Systems Biology 🗓Publis
📑A systematic survey of centrality measures for protein-protein interaction networks 📘Journal: BMC Systems Biology 🗓Publish year: 2018 📎 Study the paper 📲Channel: @Bioinformatics #review #ppi #centrality

📄Social Network Analysis: ‘How to guide’ 🗓Publish year: 2016 📎Study paper 📲Channel: @ComplexNetworkAnalysis #paper #Socia
📄Social Network Analysis: ‘How to guide’ 🗓Publish year: 2016 📎Study paper 📲Channel: @ComplexNetworkAnalysis #paper #Social_Network

📄Centrality in affiliation networks 📘Journal: Social Networks(I.F=3.406) 📎Study paper 📲Channel: @ComplexNetworkAnalysis #paper #centrality

🎞 Network Analysis 💥Free recorded lectures 🔹(1) Theory and Concept 🔹(2) Practice Using igraph and Gephi 📽 Watch: part1 part2 📲Channel: @ComplexNetworkAnalysis #video #lecture #Gephi #igraph

📄Nine quick tips for analyzing network data 📘Journal: PLoS Comput Biol (I.F=4.475) 🗓Publish year: 2019 📎Study paper 📲Cha
📄Nine quick tips for analyzing network data 📘Journal: PLoS Comput Biol (I.F=4.475) 🗓Publish year: 2019 📎Study paper 📲Channel: @ComplexNetworkAnalysis #paper

📄Network Analysis in the Social Sciences 📘Journal: SCIENCE (I.F=47.728) 📎Study paper 📲Channel: @ComplexNetworkAnalysis #paper #Social_Sciences

📕Handbook of Graph Drawing and Visualization 💥Free Book by Roberto Tamassia 📎 Study the book 📲Channel: @ComplexNetworkAna
📕Handbook of Graph Drawing and Visualization 💥Free Book by Roberto Tamassia 📎 Study the book 📲Channel: @ComplexNetworkAnalysis #book #Graph

🎞 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