πApplications of Differential Privacy in Social Network Analysis: A Survey
πJournal: IEEE Transactions on Knowledge and Data Engineering (I.F=9.235)
πPublish year: 2021
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Applications #Differential #Privacy #survey
πJournal: IEEE Transactions on Knowledge and Data Engineering (I.F=9.235)
πPublish year: 2021
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Applications #Differential #Privacy #survey
π―1
πNetworks visualization
π₯Network diagrams by network tools indicate: Gephi, Gephisto, Cytoscape, NodeXL, Graphia App
πGephi, Gephisto, Cytoscape, NodeXL, Graphia App
π²Channel: @ComplexNetworkAnalysis
#paper #tools #visualization #Gephi #Gephisto #Cytoscape #NodeXL #Graphia_App
π₯Network diagrams by network tools indicate: Gephi, Gephisto, Cytoscape, NodeXL, Graphia App
πGephi, Gephisto, Cytoscape, NodeXL, Graphia App
π²Channel: @ComplexNetworkAnalysis
#paper #tools #visualization #Gephi #Gephisto #Cytoscape #NodeXL #Graphia_App
β€5
πExploratory Social Network Analysis with Pajek
π₯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.
π Read online
π²Channel: @ComplexNetworkAnalysis
#book #Social_Network
π₯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.
π Read online
π²Channel: @ComplexNetworkAnalysis
#book #Social_Network
π3
π Graph Neural Networks and Knowledge Graph Completion
π₯Free recorded Tutorial by Prof. Soumen Chakrabarti
π₯Link prediction in social and knowledge graphs : Permutation Invariant and Time Sensitive Deep Representations
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Graph_Neural_Networks #knowledge_graphs
π₯Free recorded Tutorial by Prof. Soumen Chakrabarti
π₯Link prediction in social and knowledge graphs : Permutation Invariant and Time Sensitive Deep Representations
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Graph_Neural_Networks #knowledge_graphs
YouTube
"Graph Neural Networks and Knowledge Graph Completion
π2π1
π Brain network analysis for the discrimination of dementia disorders using electrophysiology signals: A systematic review
πJournal: Frontires in Aging Neuroscience(I.F.=5.702)
πPublish year: 2023
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #review #brain #dementia
πJournal: Frontires in Aging Neuroscience(I.F.=5.702)
πPublish year: 2023
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #review #brain #dementia
π3π2
π Social network analysis of COVID-19 transmission in Karnataka, India
πJournal: Epidemiology & Infection (I.F.=4.434)
πPublish year: 2020
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_network #COVID_19
πJournal: Epidemiology & Infection (I.F.=4.434)
πPublish year: 2020
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_network #COVID_19
π3π1
2023_A_Comprehensive_Survey_on_Learning_Based_Methods_for_Link_Prediction.pdf
509.7 KB
πA Comprehensive Survey on Learning Based Methods for Link Prediction Problem
πConference : International Conference on Information Systems and Computer Networks (ISCON)
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Learning #Link_Prediction #Problem #survey
πConference : International Conference on Information Systems and Computer Networks (ISCON)
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Learning #Link_Prediction #Problem #survey
π2
Application Areas of Community Detection A Review.pdf
202.1 KB
π Application Areas of Community Detection: A Review
πCongress: 2018 International Congress on Big Data, Deep Learning and Fighting Cyber Terrorism (IBIGDELFT)
πPublish year: 2018
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Community_Detection #Review
πCongress: 2018 International Congress on Big Data, Deep Learning and Fighting Cyber Terrorism (IBIGDELFT)
πPublish year: 2018
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Community_Detection #Review
π3
πBig data analytics meets social media: A systematic review of techniques, open issues, and future directions
πConference : Telematics and Informatics (Elsevier)
πPublish year: 2021
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Big_data #techniques #open_issues #future #directions #review
πConference : Telematics and Informatics (Elsevier)
πPublish year: 2021
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Big_data #techniques #open_issues #future #directions #review
π4
A review of clique-based overlapping community detection.pdf
1.3 MB
π A review of clique-based overlapping community detection algorithms
πJournal: Knowledge and Information Systems(I.F=2.531)
πPublish year: 2022
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Community_Detection #Review #clique
πJournal: Knowledge and Information Systems(I.F=2.531)
πPublish year: 2022
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Community_Detection #Review #clique
π5
π 2022 Keynote: Deep learning with Knowledge Graphs
π₯Free recorded Tutorial on Deep learning with Knowledge Graphs
π₯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
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Deep_learning #knowledge_graphs
YouTube
"Graph Neural Networks and Knowledge Graph
π₯Free recorded Tutorial on Deep learning with Knowledge Graphs
π₯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
π½ Watch
π±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 frameworksβ¦
He also presents the industrial applications, software frameworksβ¦
π2
Understanding Ethereum via Graph Analysis.pdf
1.6 MB
π Understanding Ethereum via Graph Analysis
πConference: IEEE Conference on Computer Communications
πPublish year: 2018
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Ethereum #Graph
πConference: IEEE Conference on Computer Communications
πPublish year: 2018
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Ethereum #Graph
π2
πRepresentation Learning on Graphs: Methods and Applications
πPublish year: 2017
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Representation_Learning #Methods #Applications
πPublish year: 2017
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Representation_Learning #Methods #Applications
π2π₯1
πFrom past to present: Spam detection and identifying opinion leaders in social networks
πJournal : SIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #past #present #Spam_detection #identifying #opinion #leaders
πJournal : SIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #past #present #Spam_detection #identifying #opinion #leaders
π3π1
2022_A_Review_on_Opinion_Leader_Detection_and_its_Applications.pdf
630.7 KB
πA Review on Opinion Leader Detection and its Applications
πConference: International Conference on Communication and Electronics Systems (ICCES)
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Opinion #Leader #paper #Detection #Applications #Review
πConference: International Conference on Communication and Electronics Systems (ICCES)
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Opinion #Leader #paper #Detection #Applications #Review
π2
π 20 years of network community detection
πjournal: NATURE PHYSICS(I.F=19.684)
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #years #community_detection
πjournal: NATURE PHYSICS(I.F=19.684)
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #years #community_detection
π3
2023_A_survey_on_identification_of_influential_users_in_social_media.pdf
460.6 KB
π A survey on identification of influential users in social media networks using bio inspired algorithms
πjournal: Procedia Computer Science
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #identification #influential #users #bio #inspired #algorithms
πjournal: Procedia Computer Science
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #identification #influential #users #bio #inspired #algorithms
π3
2017-Python for Graph and Network Analysis.pdf
13 MB
πPython for Graph and Network Analysis
πPublish year: 2017
π Study the book
π±Channel: @ComplexNetworkAnalysis
#book #Python #Graph
πPublish year: 2017
π Study the book
π±Channel: @ComplexNetworkAnalysis
#book #Python #Graph
π3
π Link Prediction on Complex Networks: An Experimental Survey
πjournal: Data Science and Engineering (I.F=4.52)
πPublish year: 2022
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Link_Prediction #Survey
πjournal: Data Science and Engineering (I.F=4.52)
πPublish year: 2022
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Link_Prediction #Survey
π2