🎞 IEICE English Webinar "Analysis of Complex Dynamical Behavior as a Temporal Network"
💥Free recorded course by Prof. Tohru Ikeguchi, Tokyo University of Science.
💥In this webinar, we will discuss the analysis of time-varying complex phenomena by considering measured contact data as a temporal network. Firstly, we will introduce some of the contact data currently recorded. Then, as an elemental technique for analyzing these contact data as temporal networks, we explain the analysis method for static networks. Secondly, we explain the importance of analyzing such contact data as temporal networks. We also explain how to transform contact data into temporal networks. Thirdly, we explain the distance measure between temporal networks in order to detect and quantify system dynamics from the transformed temporal networks. Furthermore, we explain how to analyze the dynamics of the changes in the contact data by converting the temporal changes in the distance into time series signals using the classical multidimensional scaling method. Finally, we conclude the methods for analyzing contact data as a temporal networks, and discuss a future direction of network analysis.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #webinar #Graph #Network #Anaysis
💥Free recorded course by Prof. Tohru Ikeguchi, Tokyo University of Science.
💥In this webinar, we will discuss the analysis of time-varying complex phenomena by considering measured contact data as a temporal network. Firstly, we will introduce some of the contact data currently recorded. Then, as an elemental technique for analyzing these contact data as temporal networks, we explain the analysis method for static networks. Secondly, we explain the importance of analyzing such contact data as temporal networks. We also explain how to transform contact data into temporal networks. Thirdly, we explain the distance measure between temporal networks in order to detect and quantify system dynamics from the transformed temporal networks. Furthermore, we explain how to analyze the dynamics of the changes in the contact data by converting the temporal changes in the distance into time series signals using the classical multidimensional scaling method. Finally, we conclude the methods for analyzing contact data as a temporal networks, and discuss a future direction of network analysis.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #webinar #Graph #Network #Anaysis
YouTube
IEICE English Webinar "Analysis of Complex Dynamical Behavior as a Temporal Network"
IEICE English Webinar Distinguished Lecturer Program Series July 2023
Analysis of Complex Dynamical Behavior as a Temporal Network
Lecturer: Prof. Tohru Ikeguchi, Tokyo University of Science
Biography:
Professor Tohru Ikeguchi received B.E., M.E., and Doctor…
Analysis of Complex Dynamical Behavior as a Temporal Network
Lecturer: Prof. Tohru Ikeguchi, Tokyo University of Science
Biography:
Professor Tohru Ikeguchi received B.E., M.E., and Doctor…
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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
📘 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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🎞 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'.
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📱Channel: @ComplexNetworkAnalysis
#video #Network #data #visualization #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
YouTube
14th SS 2023. Day 2. Network data visualization in Gephi
Tamara Shcheglova, Doctoral student, Junior Research Fellow, Visiting Lecturer, International laboratory for Applied Network Research, HSE
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📄Network Medicine in Pathobiology
📘 journal: The American Journal of Pathology(I.F=5.1)
🗓Publish year: 2019
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Pathobiology #network #Medicine
📘 journal: The American Journal of Pathology(I.F=5.1)
🗓Publish year: 2019
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Pathobiology #network #Medicine
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📃 A Review of Link Prediction Applications in Network Biology
🗓 Publish year: 2023
🧑💻Authors: Ahmad F. Al Musawi, Satyaki Roy, Preetam Ghosh
🏢Universities: Virginia Commonwealth University, University of Alabama in Huntsville
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#review #Network_Biology #Link_Prediction
🗓 Publish year: 2023
🧑💻Authors: Ahmad F. Al Musawi, Satyaki Roy, Preetam Ghosh
🏢Universities: Virginia Commonwealth University, University of Alabama in Huntsville
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#review #Network_Biology #Link_Prediction
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Forwarded from Bioinformatics
📄Application of Multilayer Network Models in Bioinformatics
📗 Journal: Oral Diseases (I.F.=3.7)
🗓 Publish year: 2023
🧑💻Authors: Yuanyuan Lv, Shan Huang, Tianjiao Zhang. Bo Gao
🏢Universities: Hainan Normal University, Haikou, China - Northeast Forestry University, Harbin, China
📎 Study the paper
📲Channel: @Bioinformatics
#review #multilayer #network
📗 Journal: Oral Diseases (I.F.=3.7)
🗓 Publish year: 2023
🧑💻Authors: Yuanyuan Lv, Shan Huang, Tianjiao Zhang. Bo Gao
🏢Universities: Hainan Normal University, Haikou, China - Northeast Forestry University, Harbin, China
📎 Study the paper
📲Channel: @Bioinformatics
#review #multilayer #network
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A_review_on_graph_based_approaches_for_network_security_monitoring.pdf
1.1 MB
📃 A review on graph-based approaches for network security monitoring and botnet detection
📘 Journal: International Journal of Information Security (I.F=3.2)
🗓 Publish year: 2024
🧑💻Authors: Sofiane Lagraa, Martin Husák, Hamida Seba, Satyanarayana Vuppala, Radu State & Moussa Ouedraogo
🏢Universities: University of Luxembourg,Masaryk University
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📲Channel: @ComplexNetworkAnalysis
#paper #network_security_monitoring #botnet_detection #Review
📘 Journal: International Journal of Information Security (I.F=3.2)
🗓 Publish year: 2024
🧑💻Authors: Sofiane Lagraa, Martin Husák, Hamida Seba, Satyanarayana Vuppala, Radu State & Moussa Ouedraogo
🏢Universities: University of Luxembourg,Masaryk University
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #network_security_monitoring #botnet_detection #Review
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Forwarded from Bioinformatics
📑 Network pharmacology: towards the artificial intelligence-based precision traditional Chinese medicine
📗Journal: Briefings in Bioinformatics (I.F.= 9.5)
🗓 Publish year: 2024
🧑💻Authors: Peng Zhang, Dingfan Zhang, Wuai Zhou, ...
🏢University: Tsinghua University, China
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📲Channel: @Bioinformatics
#review #pharmacology #network #ai #medicine
📗Journal: Briefings in Bioinformatics (I.F.= 9.5)
🗓 Publish year: 2024
🧑💻Authors: Peng Zhang, Dingfan Zhang, Wuai Zhou, ...
🏢University: Tsinghua University, China
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📲Channel: @Bioinformatics
#review #pharmacology #network #ai #medicine
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📃Network Learning for Biomarker Discovery
🗓 Publish year: 2023
📘Journal: International Journal of Network Dynamics and Intelligence (IJNDI)
🧑💻Authors: Yulian Ding, Minghan Fu, Ping Luo, Fang-Xiang Wu
🏢Universities: University of Saskatchewan, S7N 5A9, Saskatoon, Canada,
University Health Network, Toronto, ON M5G 1L7, Canada,
University of Saskatchewan, S7N 5A9, Saskatoon, Canada
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Network #Learning #Biomarker #Discovery
🗓 Publish year: 2023
📘Journal: International Journal of Network Dynamics and Intelligence (IJNDI)
🧑💻Authors: Yulian Ding, Minghan Fu, Ping Luo, Fang-Xiang Wu
🏢Universities: University of Saskatchewan, S7N 5A9, Saskatoon, Canada,
University Health Network, Toronto, ON M5G 1L7, Canada,
University of Saskatchewan, S7N 5A9, Saskatoon, Canada
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Network #Learning #Biomarker #Discovery
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