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Network Analysis Resources & Updates@complexnetworkanalysis P.912
COMPLEXNETWORKANALYSIS Telegram 912
🎞 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
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🎞 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

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