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Showing posts older than #859 · Back to latest

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Post #858 487
📄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
Post #856 489
📄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
Post #854 449
📄Community Detection

💥Technical paper
 
🌐 Study 

📲Channel: @ComplexNetworkAnalysis

#paper #Graph #code #python #Community_Detection
  • 👍 1
Post #853 493
📄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
Post #850 540
📄Influence maximization on temporal
networks: a review

🗓Publish year: 2023

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Influence #maximization #temporal_networks #review
Post #847 563
📄Centrality measures in fuzzy social networks

📘journal: Information systems (l.F=7.767)
🗓Publish year: 2023

📎 Study the paper

📲Channel: @ComplexNetworkAnalysis
#paper #social_network #fuzzy #Centrality
Post #845 549
🎞 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
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
Post #842 587
📄Structure and function of complex brain networks

📘Journal: Dialogues in Clinical Neuroscience (DCNS)

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Structure #function #complex #brain #networks
Post #839 604
📑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

📎 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…
  • ❤ 2
  • 👍 1
Post #838 556
📑Clustering and link prediction for mesoscopic COVID-19 transmission networks in Republic of Korea

📘journal: ChaosI.F=3.436)
🗓Publish year: 2023

📎 Study the paper

📲Channel: @ComplexNetworkAnalysis
#paper #COVID_19 #link_prediction #Clustering
  • 👍 3
Post #837 517
📄 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
Post #836 2.79K
🎞 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
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,…
  • 👍 4
  • 👏 1
Post #835 496
📑Exploring social-emotional learning, school climate, and social network analysis

📘journal: Journal of Community Psychology(I.F=2.297)
🗓Publish year: 2022
📎 Study the paper

📲Channel: @ComplexNetworkAnalysis
#paper #social_network
  • 👍 2
Post #834 670
📄 Critical Review of Social Network Analysis Applications in Complex Project Management

📘journal: Journal of Management in Engineerin(I.F=6.415)
🗓Publish year: 2018

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Critical #Applications #Complex_Project #Management #Review
  • 👍 2
Post #833 609
📄 A survey of graph neural network based recommendation in social networks

📘journal: Neurocomputing(I.F=5.779)
🗓Publish year: 2022

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #graph_neural_network #Extracting #recommendation #survey
  • 👍 1
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