📕Networks, Crowds, and Markets:
Reasoning About a Highly Connected World
📝Authors: David Easley and Jon Kleinberg.
💥Networks, Crowds, and Markets combines different scientific perspectives in its approach to understanding networks and behavior. Drawing on ideas from economics, sociology, computing and information science, and applied mathematics, it describes the emerging field of study that is growing at the interface of all these areas, addressing fundamental questions about how the social, economic, and technological worlds are connected.
🗓 publish year: 2010
📖 Study book
📲Channel: @ComplexNetworkAnalysis
#book #network
Reasoning About a Highly Connected World
📝Authors: David Easley and Jon Kleinberg.
💥Networks, Crowds, and Markets combines different scientific perspectives in its approach to understanding networks and behavior. Drawing on ideas from economics, sociology, computing and information science, and applied mathematics, it describes the emerging field of study that is growing at the interface of all these areas, addressing fundamental questions about how the social, economic, and technological worlds are connected.
🗓 publish year: 2010
📖 Study book
📲Channel: @ComplexNetworkAnalysis
#book #network
👍4❤1
📄 Considering weights in real social networks: A review
📘Journal: Frontiers in Physics (I.F=3.718)
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Considering #weights #review
📘Journal: Frontiers in Physics (I.F=3.718)
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Considering #weights #review
👍3❤1
📕Network visualization with R
💥This is a comprehensive tutorial on network visualization with R. It covers data input and formats, visualization basics, parameters and layouts for one-mode and bipartite graphs; dealing with multiplex links, interactive and animated visualization for longitudinal networks; and visualizing networks on geographic maps. To follow the tutorial, download the code and data below and use R and RStudio. You can also check out the most recent versions of all my tutorials here.
📘 PDF
💻 code
🌐 Read online
📲Channel: @ComplexNetworkAnalysis
#book #R #code
💥This is a comprehensive tutorial on network visualization with R. It covers data input and formats, visualization basics, parameters and layouts for one-mode and bipartite graphs; dealing with multiplex links, interactive and animated visualization for longitudinal networks; and visualizing networks on geographic maps. To follow the tutorial, download the code and data below and use R and RStudio. You can also check out the most recent versions of all my tutorials here.
💻 code
🌐 Read online
📲Channel: @ComplexNetworkAnalysis
#book #R #code
👍3👏2💯2
📄 Influential nodes identification in complex networks: a comprehensive literature review
📘Journal: Beni-Suef University Journal of Basic and Applied Sciences
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #nfluential #nodes #comprehensive #review
📘Journal: Beni-Suef University Journal of Basic and Applied Sciences
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #nfluential #nodes #comprehensive #review
👍3
📄Graph Neural Networks for Text Classification: A Survey
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Graph_Neural_Networks #Text #Classification #survey
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Graph_Neural_Networks #Text #Classification #survey
❤3
🎞 Social Network Analysis. Lecture4. Network structure and community detection
💥Free recorded Tutorial by Leonid E. Zhokov
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Community_Detection
💥Free recorded Tutorial by Leonid E. Zhokov
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Community_Detection
YouTube
Social Network Analysis. Lecture4. Network structure and community detection
👏2❤1🔥1
🎞 Machine Learning with Graphs: Theory of Graph Neural Networks
💥Free recorded course by Jure Leskovec, Computer Science, PhD
💥The topics: Graph argumentation for GNNs, Training graph neural networks, Setting up GNN prediction tasks
📽 Watch: part1 part2 part3
📝Slides
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning #GNN
💥Free recorded course by Jure Leskovec, Computer Science, PhD
💥The topics: Graph argumentation for GNNs, Training graph neural networks, Setting up GNN prediction tasks
📽 Watch: part1 part2 part3
📝Slides
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning #GNN
YouTube
Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 8.1 - Graph Augmentation for GNNs
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/2XQPDGQ
Jure Leskovec
Computer Science, PhD
In this lecture, we will continue talking about the different design choices when training…
Jure Leskovec
Computer Science, PhD
In this lecture, we will continue talking about the different design choices when training…
🔥4
📄A comprehensive review on knowledge graphs for complex diseases
📘Journal: Briefings in Bioinformatics (I.F=13.994)
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #knowledge_graphs #complex #diseases #review
📘Journal: Briefings in Bioinformatics (I.F=13.994)
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #knowledge_graphs #complex #diseases #review
👍2👌1
📄Applications of Differential Privacy in Social Network Analysis: A Survey
📘Journal: IEEE Transactions on Knowledge and Data Engineering (I.F=9.235)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Applications #Differential #Privacy #survey
📘Journal: IEEE Transactions on Knowledge and Data Engineering (I.F=9.235)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Applications #Differential #Privacy #survey
💯1
📄Networks visualization
💥Network diagrams by network tools indicate: Gephi, Gephisto, Cytoscape, NodeXL, Graphia App
📎Gephi, Gephisto, Cytoscape, NodeXL, Graphia App
📲Channel: @ComplexNetworkAnalysis
#paper #tools #visualization #Gephi #Gephisto #Cytoscape #NodeXL #Graphia_App
💥Network diagrams by network tools indicate: Gephi, Gephisto, Cytoscape, NodeXL, Graphia App
📎Gephi, Gephisto, Cytoscape, NodeXL, Graphia App
📲Channel: @ComplexNetworkAnalysis
#paper #tools #visualization #Gephi #Gephisto #Cytoscape #NodeXL #Graphia_App
❤5
📕Exploratory Social Network Analysis with Pajek
💥The book "Exploratory Social Network Analysis with Pajek" by Wouter De Noy, Andrey Mrvar and Vladimir Batagel is dedicated to teaching social network analysis, visualization and application of this knowledge in Pajek. Ultimately, readers will gain the knowledge, skills, and tools to apply social network analysis to a variety of disciplines.
🌐 Read online
📲Channel: @ComplexNetworkAnalysis
#book #Social_Network
💥The book "Exploratory Social Network Analysis with Pajek" by Wouter De Noy, Andrey Mrvar and Vladimir Batagel is dedicated to teaching social network analysis, visualization and application of this knowledge in Pajek. Ultimately, readers will gain the knowledge, skills, and tools to apply social network analysis to a variety of disciplines.
🌐 Read online
📲Channel: @ComplexNetworkAnalysis
#book #Social_Network
👍3
🎞 Graph Neural Networks and Knowledge Graph Completion
💥Free recorded Tutorial by Prof. Soumen Chakrabarti
💥Link prediction in social and knowledge graphs : Permutation Invariant and Time Sensitive Deep Representations
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Graph_Neural_Networks #knowledge_graphs
💥Free recorded Tutorial by Prof. Soumen Chakrabarti
💥Link prediction in social and knowledge graphs : Permutation Invariant and Time Sensitive Deep Representations
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Graph_Neural_Networks #knowledge_graphs
YouTube
"Graph Neural Networks and Knowledge Graph Completion
👍2👌1
📑 Brain network analysis for the discrimination of dementia disorders using electrophysiology signals: A systematic review
📘Journal: Frontires in Aging Neuroscience(I.F.=5.702)
🗓Publish year: 2023
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #review #brain #dementia
📘Journal: Frontires in Aging Neuroscience(I.F.=5.702)
🗓Publish year: 2023
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #review #brain #dementia
👍3👏2
📑 Social network analysis of COVID-19 transmission in Karnataka, India
📘Journal: Epidemiology & Infection (I.F.=4.434)
🗓Publish year: 2020
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Social_network #COVID_19
📘Journal: Epidemiology & Infection (I.F.=4.434)
🗓Publish year: 2020
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Social_network #COVID_19
👏3👍1
2023_A_Comprehensive_Survey_on_Learning_Based_Methods_for_Link_Prediction.pdf
509.7 KB
📄A Comprehensive Survey on Learning Based Methods for Link Prediction Problem
📘Conference : International Conference on Information Systems and Computer Networks (ISCON)
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Learning #Link_Prediction #Problem #survey
📘Conference : International Conference on Information Systems and Computer Networks (ISCON)
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Learning #Link_Prediction #Problem #survey
👍2
Application Areas of Community Detection A Review.pdf
202.1 KB
📑 Application Areas of Community Detection: A Review
📘Congress: 2018 International Congress on Big Data, Deep Learning and Fighting Cyber Terrorism (IBIGDELFT)
🗓Publish year: 2018
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Community_Detection #Review
📘Congress: 2018 International Congress on Big Data, Deep Learning and Fighting Cyber Terrorism (IBIGDELFT)
🗓Publish year: 2018
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Community_Detection #Review
👍3
📄Big data analytics meets social media: A systematic review of techniques, open issues, and future directions
📘Conference : Telematics and Informatics (Elsevier)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Big_data #techniques #open_issues #future #directions #review
📘Conference : Telematics and Informatics (Elsevier)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Big_data #techniques #open_issues #future #directions #review
👍4
A review of clique-based overlapping community detection.pdf
1.3 MB
📑 A review of clique-based overlapping community detection algorithms
📘Journal: Knowledge and Information Systems(I.F=2.531)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Community_Detection #Review #clique
📘Journal: Knowledge and Information Systems(I.F=2.531)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Community_Detection #Review #clique
👏5
🎞 2022 Keynote: Deep learning with Knowledge Graphs
💥Free recorded Tutorial on Deep learning with Knowledge Graphs
💥In this talk will discuss recent methodological advancements that automatically learn to encode graph structure into low-dimensional embeddings. will also discuss industrial applications, software frameworks, benchmarks, and challenges with scaling-up graph learning systems
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Deep_learning #knowledge_graphs
YouTube
"Graph Neural Networks and Knowledge Graph
💥Free recorded Tutorial on Deep learning with Knowledge Graphs
💥In this talk will discuss recent methodological advancements that automatically learn to encode graph structure into low-dimensional embeddings. will also discuss industrial applications, software frameworks, benchmarks, and challenges with scaling-up graph learning systems
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Deep_learning #knowledge_graphs
YouTube
"Graph Neural Networks and Knowledge Graph
YouTube
KGC 2022 Keynote: 'Deep Learning with Knowledge Graphs' by Stanford's Prof. Jure Leskovec
In this keynote, Stanford University's Professor Jure Leskovec discusses the recent methodological advancements that automatically learn to encode graph structure into low-dimensional embedding.
He also presents the industrial applications, software frameworks…
He also presents the industrial applications, software frameworks…
👍2