Perturbation-response analysis of in silico metabolic dynamics revealed hard-coded responsiveness in the cofactors and network sparsity by Yusuke Himeoka, Chikara Furusawa

“…This pronounced responsiveness is a characteristic feature of metabolic dynamics, especially since such strong responses are seldom seen in toy models of the metabolic network. …”
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Sociological Analysis of Gender Differences in Suicide Ideation on Instagram: A Social Network Analysis Approach Using Big Data by Somayeh Mirzaee, Akbar Aliverdinia

“…It will leverage Krohn’s network theory and its evolution, employing big data and social network analysis, while also offering policy implications.  …”
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A competitive coevolution-based evolutionary algorithm for the parallel inverse design of multiple soft network materials by Xiao Feng, Yuchen Lai, Xing Yang, Yongbin Yu, Fangling Li, Xiangxiang Wang, Jiacheng Liang, Jingye Cai, Shunze Cao

“…Soft network materials (SNMs) incorporating curved microstructures within lattice architectures have emerged as critical components in flexible electronics and tissue scaffolds. …”
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Single-cell sequencing provides clues about the developmental genetic basis of evolutionary adaptations in syngnathid fishes by Hope M Healey, Hayden B Penn, Clayton M Small, Susan Bassham, Vithika Goyal, Micah A Woods, William A Cresko

“…The examined pipefish evolutionary innovations are composed of recognizable cell types, suggesting that derived features originate from changes within existing gene networks. …”
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Assessing geographic polarisation in Britain’s digital landscape through stable dynamic embedding of spatial web data by Emerald Dilworth, Emmanouil Tranos, Daniel J. Lawson

“…These trends can be formally tested with p-values as well as interpreted in terms of covariates and features of the network. We show how the methodology can be made robust to the problems of large-scale real-world data, used to detect changes over time, and identify their characteristics. …”
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Transient Stability Assessment of Power Systems Built upon Attention-Based Spatial–Temporal Graph Convolutional Networks by Yu Nan, Weiping Niu, Yong Chang, Zhenzhen Kong, Huichao Zhao

“…A spatiotemporal convolution module is then employed to effectively capture the spatial features and temporal evolution patterns of transient stability data. …”
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Public Opinion Propagation Prediction Model Based on Dynamic Time-Weighted Rényi Entropy and Graph Neural Network by Qiujuan Tong, Xiaolong Xu, Jianke Zhang, Huawei Xu

“…The model was validated on multiple public opinion datasets, and the results indicate that, compared to baseline methods, it exhibits significant advantages in several evaluation metrics such as AUC, thereby fully demonstrating the effectiveness of the dynamic time-weighted mechanism in capturing the temporal evolution of public opinion dissemination and the dynamic changes in network structure.…”
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Handbook of protocols for standardized measurements of floral traits for pollinators in temperate communities by Alice Michelot‐Antalik, Alban Langlois, Francesco deBello, James Desaegher, Léa Genty, Jérémie Goulnik, Jérémy Grosjean, Anne‐Laure Jacquemart, Alan Kergunteuil, Robert R. Junker, Léna Jeannerod, Jean‐François Odoux, Magali Proffit, Bertrand Schatz, Maryse Vanderplanck, Anna E‐Vojtkó, Mathilde Baude

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Understanding How Short-Termism and a Dynamic Investor Network Affects Investor Returns: An Agent-Based Perspective by Matthew Oldham

“…To address these topics, an agent-based artificial stock market is implemented, where investors utilize various information sources, including advice from investors in their network, to inform their investment decisions. Over time investors update their trust in their information sources and evolve their network by connecting to outperforming investors—Oracles—and discarding poor advisers, thereby simulating the evolution of an investor network. …”
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Transportation carbon emission efficiency network formation mechanism and spatial structural complexity analysis: Evidence from China by Lin Liu, Yuming Liu, Rong Zhao

“…The central region lacks a well-structured efficiency guidance system. (3) A multi-level composite network system exists among provinces, featuring a coordination network as the primary component and backbone network as secondary element. …”
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FS-STFNet: a few-shot adaptive spatiotemporal fusion network for short-term tropical cyclone intensity forecasting by Mengjiao Qin, Jingqi Wang, Yanshuo Wu, Yuhan Zhang, Wuxia Lin, Shoujuan Shu

“…This study proposes a Few-Shot Spatiotemporal Fusion Network (FS-STFNet) to improve short-term TC intensity prediction under limited data. …”
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Improvement of the methods of the estimation of reliability of multifunction corporative telecommunications on base of logician-probabilistic approach by Lozbinev F.Yu., Kolesnik E.V., Gamov A.A.

“…The analysis of principles of building, process of the creation and evolutions of the topological scheme of network is executed. …”
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Progress and Challenges in Morphodynamics of Braided Rivers in Source Region of Yangtze River by LI Zhi-wei, OUYANG Wei-qi

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Research and application of VoLTE video call quality based on machine learning by Qizhu ZHONG

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The Ultimate Evaluation of Current Consumption and QoS Metrics in 5G Mobile Networks Over IP Multimedia Subsystem (IMS) by Jussif Junior Abularach Arnez, Walmir Acioli E. Silva, Wederson Medeiros Silva, Ana Flavia de Oliveira Ribeiro, Janislley Oliveira de Sousa

“…We investigated the current consumption and QoS within 5G mobile networks, leveraging the IP Multimedia Subsystem (IMS) for Voice over New Radio (VoNR) and 5G Voice over Long-Term-Evolution using Dual-Connectivity feature (5G VoLTE). …”
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Home is where my villa is: a machine learning-based predictive suitability map for Roman features in Northern Noricum (ca. 50–500 CE/Lower Austria/AUT) by Dominik Hagmann

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A self evolving high performance sharded consortium blockchain designed for secure and trusted resource sharing for 6G networks by Xiaorong Zhu, Zhiwei Yuan, Qinyin Ni

“…Blockchain technology offers a promising solution with its decentralized and tamper-resistant features. However, the challenge of balancing decentralization, scalability, and security, known as the “Impossible Triangle,” hinders its seamless integration into 6G networks. …”
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Emotion-RGC net: A novel approach for emotion recognition in social media using RoBERTa and Graph Neural Networks. by Jiangting Yan, Pengju Pu, Liheng Jiang

“…Despite its strong performance, we identify areas for future research, including reducing the model's reliance on large labeled datasets, improving computational efficiency, and incorporating temporal dynamics to capture emotion evolution in social networks. Our results indicate that Emotion-RGC Net provides a robust solution for emotion recognition in diverse social media contexts.…”
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Artificial intelligence-driven cybersecurity: enhancing malicious domain detection using attention-based deep learning model with optimization algorithms by Fatimah Alhayan, Asma Alshuhail, Ahmed Omer Ahmed Ismail, Othman Alrusaini, Sultan Alahmari, Abdulsamad Ebrahim Yahya, Monir Abdullah, Samah Al Zanin

“…Furthermore, the hybrid model of a temporal convolutional network and bi-directional long short-term memory with squeeze-and-excitation Attention (TCN-BiLSTM-SEA) model is employed for the classification process. …”
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Seasonal dynamics of hiking activities in mountainous areas: a topography-aware sequential network modeling approach using crowdsourced trajectories by Jiyuan Li, Xiao Feng, Tao Li, Xiping Yang, Weihang Jing, Xiaoshu Cao

“…Based on the network data and complex network analyses, we identify hiking hotspots, core hubs and critical paths, reveal the popular routes within network communities, and reconstruct the evolution of these communities over time. …”
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