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Network Analysis Resources & Updates

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📄Knowledge Graph Embedding: Survey of Approaches and Applications 📘Journal: IEEE Transactions on Knowledge and Data Engineering (I.F=9.235) 🗓Publish year: 2017 📎 Study the paper 📲Channel: @ComplexNetworkAnalysis #paper #Graph_Embedding #DeepLearning #Survey

📄A social network analysis of two networks: Adolescent school network and Bitcoin trader network 📘Journal: Decision Analyti
📄A social network analysis of two networks: Adolescent school network and Bitcoin trader network 📘Journal: Decision Analytics Journal 🗓Publish year: 2022 📎Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Adolescent #school #Bitcoin #trader

📄A Mini Review of Node Centrality Metrics in Biological Networks 📘Journal: International Journal of Network Dynamics and In
📄A Mini Review of Node Centrality Metrics in Biological Networks 📘Journal: International Journal of Network Dynamics and Intelligence 🗓Publish year: 2022 📎Study paper 📱Channel: @ComplexNetworkAnalysis #paper #node_centrality #biological_network

🎞 Knowledge Graph Seminar Session 2 (Spring 2020) 💥Free recorded tutorial on Knowledge Graph. 📽Watch 📱Channel: @ComplexNetworkAnalysis #video #Knowledge_Graph #seminar

📄Graph Algorithms with Python 💥Technical paper 📝In this paper, the auther will take you through the implementation of Graph Algorithms with Python. As a data scientist, you should be well aware to find relationships among people by using the network they create within each other. So here the auther will take you through the Graph Algorithms you should know for Data Science using Python. 🌐 Study 📲Channel: @ComplexNetworkAnalysis #paper #Graph #python #code

📄Relative, local and global dimension in complex networks 📘Journal: NATURE COMMUNICATIONS (I.F=17.694) 🗓Publish year: 2022
📄Relative, local and global dimension in complex networks 📘Journal: NATURE COMMUNICATIONS (I.F=17.694) 🗓Publish year: 2022 📎Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Relative #local #global #dimension

📄Curriculum Graph Machine Learning: A Survey 🗓Publish year: 2023 📎Study paper 📲Channel: @ComplexNetworkAnalysis #paper #S
📄Curriculum Graph Machine Learning: A Survey 🗓Publish year: 2023 📎Study paper 📲Channel: @ComplexNetworkAnalysis #paper #Survey #Machine_Learning #Graph

📄Curriculum Graph Machine Learning: A Survey 🗓Publish year: 2023 📎Study paper 📲Channel: @ComplexNetworkAnalysis #paper #S
📄Curriculum Graph Machine Learning: A Survey 🗓Publish year: 2023 📎Study paper 📲Channel: @ComplexNetworkAnalysis #paper #Survey #Machine_Learning #Graph

🎞📙Network Analysis Made Simple 💥Network Analysis Made Simple is a collection of Jupyter notebooks designed to help you get
🎞📙Network Analysis Made Simple 💥Network Analysis Made Simple is a collection of Jupyter notebooks designed to help you get up and running with the NetworkX package in the Python programming langauge. It's written by programmers for programmers, and will give you a basic introduction to graph theory, applied network science, and advanced topics to help kickstart your learning journey. There's even case studies to help those of you for whom example narratives help a ton! 📽Watch & study 📲Channel: @ComplexNetworkAnalysis #video #Graph #course #python #code #ebook

📄Graph Clustering with Graph Neural Networks 🗓Publish year: 2020 📎Study paper 📲Channel: @ComplexNetworkAnalysis #paper #G
📄Graph Clustering with Graph Neural Networks 🗓Publish year: 2020 📎Study paper 📲Channel: @ComplexNetworkAnalysis #paper #Graph #Clustering #GNN

🎞 Graph Theory Algorithms 💥A complete overview of graph theory algorithms in computer science and mathematics. 📽Watch 📲Channel: @ComplexNetworkAnalysis #video #Graph #course

📄Predicting the establishment and removal of global trade relations for import and export of petrochemical products 📘Journa
📄Predicting the establishment and removal of global trade relations for import and export of petrochemical products 📘Journal: Energy (I.F=8.857) 🗓Publish year: 2023 📎Study paper 📱Channel: @ComplexNetworkAnalysis #paper #establishment #export #trade #petrochemical

📄Women financial inclusion research: a bibliometric and network analysis 📘Journal: INTERNATIONAL JOURNAL OF SOCIAL ECONOMIC
📄Women financial inclusion research: a bibliometric and network analysis 📘Journal: INTERNATIONAL JOURNAL OF SOCIAL ECONOMICS 🗓Publish year: 2023 📎Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Women #financial #inclusion #bibliometric

📄Graph-based Time-Series Anomaly Detection: A Survey 🗓Publish year: 2023 📎Study paper 📱Channel: @ComplexNetworkAnalysis #
📄Graph-based Time-Series Anomaly Detection: A Survey 🗓Publish year: 2023 📎Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Time_Series #Anomaly #survey

📄Network Analysis of Road Traffic Crash and Rescue Operations in Federal Capital City 📘Journal: International Journal of Ge
📄Network Analysis of Road Traffic Crash and Rescue Operations in Federal Capital City 📘Journal: International Journal of Geosciences (I.F=1.525) 🗓Publish year: 2023 📎Study paper 📲Channel: @ComplexNetworkAnalysis #paper #Traffic

📄A Network Science perspective of Graph Convolutional Networks: A survey 📘Journal: FUTURE INTERNET 🗓Publish year: 2022 📎S
📄A Network Science perspective of Graph Convolutional Networks: A survey 📘Journal: FUTURE INTERNET 🗓Publish year: 2022 📎Study paper 📱Channel: @ComplexNetworkAnalysis #paper #perspective #Convolutional #survey

🎞 Knowledge Graph Seminar Session 1 (Spring 2020) 💥Free recorded tutorial on Knowledge Graph. 📽Watch 📱Channel: @ComplexNetworkAnalysis #video #Knowledge_Graph #seminar

📄A Mini review of Node Centrality Metrics in Biological Networks 📘Journal: International Journal of Network Dynamics and In
📄A Mini review of Node Centrality Metrics in Biological Networks 📘Journal: International Journal of Network Dynamics and Intelligence 🗓Publish year: 2022 📎Study paper 📲Channel: @ComplexNetworkAnalysis #paper #centrality #biological

📄A Mini review of Node Centrality Metrics in Biological Networks 🔸Abstract: The diversity of nodes in a complex network causes each node to have varying significance, and the important nodes often have a significant impact on the structure and function of the network. Although the interpretation of the results of biological networks must always depend on the topological study of nodes, there is presently no consensus on how to use these metrics, and most network analyses always result in a basic interpretation of a limited number of metrics. To thoroughly comprehend biologi cal networks, it is necessary to consistently understand the notion of node centrality. Therefore, for 10 typical nodal metrics in biological networks, the study first assesses their current applications, advan tages, disadvantages as well as potential applications. Then, a review of previous studies is provided, and suggestions are made correspondingly for the purpose of improving biological topology algorithms. Finally, the following recommendations are made in this study: (1) a comprehensive and accurate assess ment of node centrality necessitates the use of multiple metrics, including both the target node and its surroundings, and density of maximum neighbourhood component (DMNC) can be used as a comple ment to other node centrality metrics; (2) different centrality metrics can be applied to identify nodes with different functions, which in this study are mapped as modular surroundings, bridging roles, and susceptibility; and (3) the following groups of node centrality can often be verified against each other, including degree and maximum neighbourhood component (MNC), eccentricity, closeness and radiality; stress and betweenness. 📘Journal: International Journal of Network Dynamics and Intelligence 🗓Publish year: 2022 📎Study paper 📲Channel: @ComplexNetworkAnalysis #paper

👨‍💻 MSc position at SBNA (Social & Biological Network Analysis) Lab 🇮🇷 Language: IR 🌐 Details 📲Channel: @ComplexNetwork
👨‍💻 MSc position at SBNA (Social & Biological Network Analysis) Lab 🇮🇷 Language: IR 🌐 Details 📲Channel: @ComplexNetworkAnalysis