Measuring and utilizing temporal network dissimilarity by Xiu-Xiu Zhan, Chuang Liu, Zhipeng Wang, Huijuan Wang, Petter Holme, Zi-Ke Zhang

“…Abstract Quantifying the structural and functional differences of temporal networks remains a fundamental and challenging problem in the era of big data. …”
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Detection of dynamic communities in temporal networks with sparse data by Nataša Djurdjevac Conrad, Elisa Tonello, Johannes Zonker, Heike Siebert

Subjects: “…Temporal networks…”
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Autocorrelation properties of temporal networks governed by dynamic node variables by Harrison Hartle, Naoki Masuda

“…We study synthetic temporal networks whose evolution is determined by stochastically evolving node variables—synthetic analogues of, e.g., temporal proximity networks of mobile agents. …”
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Differences in medial temporal network intrinsic connectivity after a single bout of exercise relate to fitness, memory, and affect by Anastasia Cherednichenko, María Baena-Pérez, Anna Miró-Padilla, Maria Reyes Beltrán-Valls, Diego Moliner-Urdiales, César Ávila

“…Conclusions: A single bout of exercise leads to specific functional changes in the medial temporal network, which may be related to individual differences in the chronic changes resulting from repeated exercise bouts over time.…”
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Hybrid quantum enhanced federated learning for cyber attack detection by G. Subramanian, M. Chinnadurai

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Geo-computation techniques for identifying spatio-temporal patterns of reported oil spills along crude oil pipeline networks by Seyi Adewale Adebangbe, Deborah Dixon, Brian Barrett

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Evolution of sample-based music authorship network by Dongju Park, Juyong Park

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Network Diffusion Framework to Simulate Spreading Processes in Complex Networks by Michał Czuba, Mateusz Nurek, Damian Serwata, Yu-Xuan Qiu, Mingshan Jia, Katarzyna Musial, Radosław Michalski, Piotr Bródka

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Revealing the critical state and identifying individualized dynamic network biomarker for type 2 diabetes through advanced analysis methods on individual basis by Peiyu Li, Shaowen Jing, Guo Tian, Jing Jiang

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Research on crowd flows prediction model for 5G demand by Zheng HU, Hao YUAN, Xinning ZHU, Wanli NI

“…The deployment and planning for ultra-dense base stations,multidimensional resource management,and on-off switching in 5G networks rely on the accurate prediction of crowd flows in the specific areas.A deep spatial-temporal network for regional crowd flows prediction was proposed,by using the spatial-temporal data acquired from mobile networks.A deep learning based method was used to model the spatial-temporal dependencies with different scales.External factors were combined further to predict citywide crowd flows.Only data from local regions was applied to model the closeness of properties of the crowd flows,in order to reduce the requirements for transmitting the globe data in real time.It is of importance for improving the performance of 5G networks.The proposed model was evaluated based on call detail record data set.The experiment results show that the proposed model outperforms the other prediction models in term of the prediction precision.…”
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Triadic balance and network evolution in predictive models of signed networks by Hsuan-Wei Lee, Pei-Chin Lu, Hsiang-Chuan Sha, Hsini Huang

“…We analyze the impact of these structures on temporal network evolution by incorporating them into exponential random graph models across five networks of varying size, density, and directionality. …”
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Stock Market Temporal Complex Networks Construction, Robustness Analysis, and Systematic Risk Identification: A Case of CSI 300 Index by Xiaole Wan, Zhen Zhang, Chi Zhang, Qingchun Meng

“…This paper enriches the theory on temporal network robustness and provides an effective tool to prevent systematic stock market risks.…”
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Spatial-temporal analysis of the international trade network by Donghai Liu, Ziwen Yang, Kun Qin, Kai Li

“…A multilevel scenario construction theory for complex networks is proposed, highlighting the great significance of spatial regression models and system dynamics models in identifying global mechanisms; the unique value of temporal network analysis under the support of time-series information is discussed. …”
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Local Region Frequency Guided Dynamic Inconsistency Network for Deepfake Video Detection by Pengfei Yue, Beijing Chen, Zhangjie Fu

“…The network includes two parts: Global SpatioTemporal Network (GSTN) and Local Region Frequency Guided Module (LRFGM). …”
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Alpine research today by Jean-Jacques Brun

“…Alpine research now aims to promote an integrated vision of Alpine territories focusing on creating and maintaining spatial and temporal networks of sustainable relationships between humans and the other components of the ecosphere. …”
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La recherche alpine aujourd’hui by Jean-Jacques Brun

“…Alpine research now aims to promote an integrated vision of Alpine territories focusing on creating and maintaining spatial and temporal networks of sustainable relationships between humans and the other components of the ecosphere. …”
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Integrating fMRI spatial network dynamics and EEG spectral power: insights into resting state connectivity by Souvik Phadikar, Krishna Pusuluri, Armin Iraji, Vince D. Calhoun

“…Similarly, the alpha, theta, and delta power of the Pz electrode were localized to voxel-level activities of primary visual, cerebellum, and temporal networks, respectively. We also identified a strong correlation between the primary motor network and alpha (mu rhythm) and beta activity. …”
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