📑Exploring social-emotional learning, school climate, and social network analysis
📘journal: Journal of Community Psychology(I.F=2.297)
🗓Publish year: 2022
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📲Channel: @ComplexNetworkAnalysis
#paper #social_network
📘journal: Journal of Community Psychology(I.F=2.297)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #social_network
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🎞 Machine Learning with Graphs: Heterogeneous & Knowledge Graph Embedding, Knowledge Graph Completion
💥Free recorded course by Jure Leskovec, Computer Science, PhD
💥 In this lecture, we first introduce the heterogeneous graph with the definition and several examples. In the next, we talk about a model called RGCN which extends the GCN to heterogeneous graph. To make the model more scalable, several approximated approaches are introduced, including block diagonal matrices and basis learning. At last, we show how RGCN predicts the labels of nodes and links.
Then we introduce the knowledge graphs by giving several examples and applications.
📽 Watch: part1 part2
📝 slide
💻 Code
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning #Knowledge_Graph #GNN
💥Free recorded course by Jure Leskovec, Computer Science, PhD
💥 In this lecture, we first introduce the heterogeneous graph with the definition and several examples. In the next, we talk about a model called RGCN which extends the GCN to heterogeneous graph. To make the model more scalable, several approximated approaches are introduced, including block diagonal matrices and basis learning. At last, we show how RGCN predicts the labels of nodes and links.
Then we introduce the knowledge graphs by giving several examples and applications.
📽 Watch: part1 part2
📝 slide
💻 Code
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning #Knowledge_Graph #GNN
YouTube
Stanford CS224W: ML with Graphs | 2021 | Lecture 10.1-Heterogeneous & Knowledge Graph Embedding
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3pNkBLE
Lecture 10.1 - Heterogeneous Graphs and Knowledge Graph Embeddings
Jure Leskovec
Computer Science, PhD
In this lecture,…
Lecture 10.1 - Heterogeneous Graphs and Knowledge Graph Embeddings
Jure Leskovec
Computer Science, PhD
In this lecture,…
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📄 Bibliometric review of ecological network analysis: 2010–2016
📘journal: ECOLOGICAL MODELLING(I.F=3.512)
🗓Publish year: 2018
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Bibliometric #ecological #review
📘journal: ECOLOGICAL MODELLING(I.F=3.512)
🗓Publish year: 2018
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Bibliometric #ecological #review
📑Clustering and link prediction for mesoscopic COVID-19 transmission networks in Republic of Korea
📘journal: ChaosI.F=3.436)
🗓Publish year: 2023
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📲Channel: @ComplexNetworkAnalysis
#paper #COVID_19 #link_prediction #Clustering
📘journal: ChaosI.F=3.436)
🗓Publish year: 2023
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #COVID_19 #link_prediction #Clustering
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📑Degree Centrality, Betweenness Centrality, and Closeness Centrality in Social Network
📘Conference: Proceedings of the 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)
💥Social network theory is becoming more and more significant in social science, and the centrality measure is underlying this burgeoning theory. In perspective of social network, individuals, organizations, companies etc. are like nodes in the network, and centrality is used to measure these nodes’ power, activity, communication convenience and so on. Meanwhile, degree centrality, betweenness centrality and closeness centrality are the popular detailed measurements. Thispaper presents these 3 centrality in-depth, from principle to algorithm, and prospect good in the future use.
🗓Publish year: 2017
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📲Channel: @ComplexNetworkAnalysis
#paper #Centrality #Social_Network #Clustering
📘Conference: Proceedings of the 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)
💥Social network theory is becoming more and more significant in social science, and the centrality measure is underlying this burgeoning theory. In perspective of social network, individuals, organizations, companies etc. are like nodes in the network, and centrality is used to measure these nodes’ power, activity, communication convenience and so on. Meanwhile, degree centrality, betweenness centrality and closeness centrality are the popular detailed measurements. Thispaper presents these 3 centrality in-depth, from principle to algorithm, and prospect good in the future use.
🗓Publish year: 2017
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Centrality #Social_Network #Clustering
Atlantis-Press
Degree Centrality, Betweenness Centrality, and Closeness Centrality in Social Network | Atlantis Press
Social network theory is becoming more and more significant in social science, and the centrality measure is underlying this burgeoning theory. In perspective of social network, individuals, organizations, companies etc. are like nodes in the network, and…
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📄A Survey of Link Prediction Techniques
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Link_Predictionc #Techniques #Survey
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Link_Predictionc #Techniques #Survey
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📄Structure and function of complex brain networks
📘Journal: Dialogues in Clinical Neuroscience (DCNS)
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Structure #function #complex #brain #networks
📘Journal: Dialogues in Clinical Neuroscience (DCNS)
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Structure #function #complex #brain #networks
📑A Survey on Studying the Social Networks of Students
🗓Publish year: 2019
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📲Channel: @ComplexNetworkAnalysis
#paper #Social_Networks #Survey
🗓Publish year: 2019
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📲Channel: @ComplexNetworkAnalysis
#paper #Social_Networks #Survey
👍2
🎞 Social Network Analysis Methods for Network Building and Impact
💥Free recorded session about social network analysis method
💥This session will discuss the social network analysis methodology and how it can be applied and leveraged in fellowships and with alumni networks for multiple benefits.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Methods #Network_Building #Impact
💥Free recorded session about social network analysis method
💥This session will discuss the social network analysis methodology and how it can be applied and leveraged in fellowships and with alumni networks for multiple benefits.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Methods #Network_Building #Impact
YouTube
Social Network Analysis Methods for Network Building and Impact
This session will discuss the social network analysis methodology and how it can be applied and leveraged in fellowships and with alumni networks for multiple benefits.
👍2
📄Centrality measures in fuzzy social networks
📘journal: Information systems (l.F=7.767)
🗓Publish year: 2023
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📲Channel: @ComplexNetworkAnalysis
#paper #social_network #fuzzy #Centrality
📘journal: Information systems (l.F=7.767)
🗓Publish year: 2023
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #social_network #fuzzy #Centrality
2020_Applications_of_link_prediction_in_social_networks_A_review.pdf
2.4 MB
📄Applications of link prediction in social networks: A review
📘journal: Journal of Network and Computer Applications (I.F=8.7)
🗓Publish year: 2020
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📱Channel: @ComplexNetworkAnalysis
#paper #Applications #link_prediction #review
📘journal: Journal of Network and Computer Applications (I.F=8.7)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Applications #link_prediction #review
📄Influence maximization on temporal
networks: a review
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Influence #maximization #temporal_networks #review
networks: a review
🗓Publish year: 2023
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📱Channel: @ComplexNetworkAnalysis
#paper #Influence #maximization #temporal_networks #review
2020_A_survey_on_network_node_ranking_algorithms_Representative.pdf
793.4 KB
📄A survey on network node ranking algorithms: Representative methods, extensions, and applications
📘journal: Science China Technological Sciences(I.F= 4.6)
🗓Publish year: 2020
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📱Channel: @ComplexNetworkAnalysis
#paper #network #node #ranking #algorithms #Representative #methods #extensions #applications #survey
📘journal: Science China Technological Sciences(I.F= 4.6)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #network #node #ranking #algorithms #Representative #methods #extensions #applications #survey
❤2
📄Python modularity Examples
💥Technical paper
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📲Channel: @ComplexNetworkAnalysis
#paper #Graph #code #python #modularity
💥Technical paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #Graph #code #python #modularity
📄Network Analysis Based on Important Node Selection and Community Detection
📘journal: MATHEMATICS-BASEL(I.F= 2.4)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Important_Nodes #Community_Detection
📘journal: MATHEMATICS-BASEL(I.F= 2.4)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Important_Nodes #Community_Detection
📄Community Detection
💥Technical paper
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📲Channel: @ComplexNetworkAnalysis
#paper #Graph #code #python #Community_Detection
💥Technical paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #Graph #code #python #Community_Detection
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📄A Mini Review of Node Centrality Metrics in Biological Networks
📘journal: International Journal of Network Dynamics and Intelligence (IJNDI)
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Node_Centrality #Metrics #Biological_Network #Mini_Review
📘journal: International Journal of Network Dynamics and Intelligence (IJNDI)
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Node_Centrality #Metrics #Biological_Network #Mini_Review
📄Identifying spreading influence nodes for social networks
📘journal: Frontiers of Engineering Management (FEM)(I.F=7.4)
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Identifying #spreading #influence_nodes
📘journal: Frontiers of Engineering Management (FEM)(I.F=7.4)
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Identifying #spreading #influence_nodes
📄A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
🗓Publish year: 2021
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📲Channel: @ComplexNetworkAnalysis
#paper #GNN #Survey #Neural_Network #Forecasting #Anomaly_Detection
🗓Publish year: 2021
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #GNN #Survey #Neural_Network #Forecasting #Anomaly_Detection
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🎞 Social Network Analysis - network structure
💥Free recorded lecture from UCCSS (University of California Computational Social Sciences)
🔹This lecture is part of the University of California wide online course on Computational Social Science (UCCSS), produced with input from Professors from all 10 UC campuses and offered to UC students for credit since 2018. For more on this topic, see the open Online Specialization link.
📽 Watch
💻Open Online Specialization
📱Channel: @ComplexNetworkAnalysis
#video #network_structure
💥Free recorded lecture from UCCSS (University of California Computational Social Sciences)
🔹This lecture is part of the University of California wide online course on Computational Social Science (UCCSS), produced with input from Professors from all 10 UC campuses and offered to UC students for credit since 2018. For more on this topic, see the open Online Specialization link.
📽 Watch
💻Open Online Specialization
📱Channel: @ComplexNetworkAnalysis
#video #network_structure
YouTube
UCCSS Hilbert SNA1: Social Network Analysis - network structure
This lecture is part of the University of California wide online course on Computational Social Science (UCCSS), produced with input from Professors from all 10 UC campuses and offered to UC students for credit since 2018. For more on this topic, see the…
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📄Construction of Knowledge Graphs: Current State and Challenges
🗓Publish year: 2023
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📲Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graph
🗓Publish year: 2023
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graph
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