Network Analysis Resources & Updates - Статистика та аналітика Telegram каналу @complexnetworkanalysis

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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

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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

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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

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📄Current and future directions in network biology 🗓Publish year: 2023 📎Study paper 📲Channel: @ComplexNetworkAnalysis #paper #graph #biology

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🎞 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

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📄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

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📄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

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🎞 Community Detection in R in 2021 and Beyond, Part 1 💥2021 Social Networks Workshop 📽 Watch 📱Channel: @ComplexNetworkAnalysis #video #Community_Detection #R

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📄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

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📄Wolfram MathWorld 💥Technical online booklet and workspace 🌐 Study 📲Channel: @ComplexNetworkAnalysis #paper #Graph #Grph_Learning

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📚 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

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📄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

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📄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

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📚Graph Theory Notes 🧑‍💼 author: Vadim Lozin in Institute of Mathematics University of Warwick 📎Study 📲Channel: @ComplexNetworkAnalysis #Booklet #graph

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📄Spatial social network research: a bibliometric analysis 📘 journal: Computational Urban Science 🗓Publish year: 2022 📎Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Spatial #research #bibliometric

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📄Spatial social network research: a bibliometric analysis 📘 journal: Computational Urban Science 🗓Publish year: 2022 📎Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Spatial #research #bibliometric

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📄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

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📄 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

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📄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