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🎞 Network data visualization in Gephi
💥Dr. Daria Maltseva, PhD, Head, International Laboratory for Applied Network Research, HSE.
💥14th Summer School 'Methods and Tools for Social Network Analysis'.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Network #data #visualization #Gephi
🎞 Network data visualization in Gephi
💥Dr. Daria Maltseva, PhD, Head, International Laboratory for Applied Network Research, HSE.
💥14th Summer School 'Methods and Tools for Social Network Analysis'.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Network #data #visualization #Gephi
🎞 Network data visualization in Gephi
💥Dr. Daria Maltseva, PhD, Head, International Laboratory for Applied Network Research, HSE.
💥14th Summer School 'Methods and Tools for Social Network Analysis'.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Network#data #visualization #Gephi
📄Current and future directions in network biology
🗓Publish year: 2023
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #graph #biology
🎞 Anomaly Detection: Algorithms, Explanations, Applications
💥Free recorded tutorial by Dr. Dietterich’s.He is part of the leadership team for OSU’s Ecosystem Informatics programs including the NSF Summer Institute in Ecoinformatics
💥Anomaly detection is important for data cleaning, cybersecurity, and robust AI systems. This talk will review recent work in our group on (a) benchmarking existing algorithms, (b) developing a theoretical understanding of their behavior, (c) explaining anomaly “alarms” to a data analyst, and (d) interactively re-ranking candidate anomalies in response to analyst feedback. Then the talk will describe two applications: (a) detecting and diagnosing sensor failures in weather networks and (b) open category detection in supervised learning.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Anomaly_Detection #Algorithms #Explanations #Applications
📄Graphnet: Graph Clustering with Deep Neural Networks
📘 Conference: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
🗓Publish year: 2021
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Graphnet #Deep_Neural_Networks #Clustering
📄Graph weeds net: A graph-based deep learning method for weed recognition
📘 journal: Computers and Electronics in Agriculture (I.F=6.757)
🗓Publish year: 2020
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #graph #deep_learnin #weed_recognition
🎞 Community Detection in R in 2021 and Beyond, Part 1
💥2021 Social Networks Workshop
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Community_Detection #R
📄New Developments in Social Network Analysis
📘 journal: Annual Review of Organizational Psychology and Organizational Behavior (I.F=13.7)
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Developments
📄Wolfram MathWorld
💥Technical online booklet and workspace
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #Graph #Grph_Learning
📚 Knowledge Graphs
✨This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia. Knowledge graphs are founded on the principle of applying a graph-based abstraction to data, and are now broadly deployed in scenarios that require integrating and extracting value from multiple, diverse sources of data at large scale.
🧑💼 authors: Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia D'Amato, Gerard de Melo, Claudio Gutierrez, Sabrina Kirrane, Jose Emilio Labra Gayo, Roberto Navigli, Sebastian Neumaier, Axel-Cyrille Ngonga Ngomo, Axel Polleres, Sabbir M Rashid, Anisa Rula, Juan Sequeda, Lukas Schmelzeisen, Steffen Staab, Antoine Zimmerman
🗓Publish year: 2021
📎Study
📲Channel: @ComplexNetworkAnalysis
#Book #graph #Data_Graphs #Graph_Algorithms #Graph_Analytics #Graph_Neural_Networks #Knowledge_Graphs #Social_Networks
📄Complex systems and network science: a survey
📘 journal: Journal of Systems Engineering and Electronics (I.F=2.1)
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Complex_systems #network_science #survey
📄Machine Learning for Anomaly Detection: A Systematic Review
📘 journal: IEEE Access(I.F=3.9)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Machine_Learning #Anomaly_Detection #Review
+1📚Graph Theory Notes
🧑💼 author: Vadim Lozin in Institute of Mathematics University of Warwick
📎Study
📲Channel: @ComplexNetworkAnalysis
#Booklet #graph
📄Spatial social network research: a bibliometric analysis
📘 journal: Computational Urban Science
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Spatial #research #bibliometric
📄Spatial social network research: a bibliometric analysis
📘 journal: Computational Urban Science
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Spatial #research #bibliometric
📄Information cascades in complex networks
📘 journal: Journal of Complex Networks (I.F=1.492)
🗓Publish year: 2017
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #graph #cascades #review
📄 Survey of Deep Graph Clustering: Taxonomy,Challenge, Application, and Open Resource
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Deep #Graph #Clustering #Taxonomy #Challenge #Application #Open_Resource #survey
+1📄Machine Learning for Anomaly Detection: A Systematic Review
📘 journal: IEEE Acess (I.F=3.476)
🗓Publish year: 2021
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #graph #Anomaly_detection #review
