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Zhaoyang Wu, Yunfei Shao and Lu Feng
The evolution of a collaborative innovation network depends on the interrelationships among the innovation subjects. Every single small change affects the network topology, which leads to different evolution results. A logical relationship exists between...
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Keping Li, Shuang Gu and Dongyang Yan
Link prediction to optimize network performance is of great significance in network evolution. Because of the complexity of network systems and the uncertainty of network evolution, it faces many challenges. This paper proposes a new link prediction meth...
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Lingzhi Yin and Yafei Wang
Delving into the spatiotemporal evolution of the railway network in different periods can provide guidance and reference for the planning and layout of the railway network. However, most of the existing studies tended to model the railway data separately...
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Cong Liu, Hui Zeng and Jiming Cao
Prefabricated construction (PC) is considered to be a low-carbon construction method. Implementing prefabricated construction projects (PCPs) requires multiple industry organizations to participate and collaborate. As different PCPs are initiated and imp...
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Zhenyu Feng, Qianqian You, Kun Chen, Houjin Song and Haoxuan Peng
Evacuation simulation is an important method for studying and evaluating the safety of passenger evacuation, and the key lies in whether it can accurately predict personnel evacuation behavior in different environments. The existing models have good adap...
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He Lan and Xiaoxue Ma
Seafarers? unsafe acts as the direct causes of maritime accidents are considered to be the result of the interaction between complex and dynamic influencing factors. Identifying the risk evolution characteristics and paths of seafarers? unsafe acts has a...
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Laura Orellana
At the very deepest molecular level, the mechanisms of life depend on the operation of proteins, the so-called ?workhorses? of the cell. Proteins are nanoscale machines that transform energy into useful cellular work, such as ion or nutrient transport, i...
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Pál Hegyi, Attila Borsos and Csaba Koren
The analysis of road network topology has attracted the attention of researchers in the past few decades. In this study, the road topology of housing estates in a few selected Central European countries (Hungary, Austria, Czech Republic, and Slovakia) wa...
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Yong Yu, Shudong Chen, Rong Du, Da Tong, Hao Xu and Shuai Chen
Temporal knowledge graphs play an increasingly prominent role in scenarios such as social networks, finance, and smart cities. As such, research on temporal knowledge graphs continues to deepen. In particular, research on temporal knowledge graph reasoni...
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Arjun M. Kumar, Jasmine Y. Q. Goh, Tiffany H. H. Tan and Cynthia S. Q. Siew
The present analysis of more than 180,000 sentences from movie plots across the period from 1940 to 2019 emphasizes how gender stereotypes are expressed through the cultural products of society. By applying a network analysis to the word co-occurrence ne...
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Zaharaddeen Karami Lawal, Hayati Yassin, Daphne Teck Ching Lai and Azam Che Idris
This research aims to study and assess state-of-the-art physics-informed neural networks (PINNs) from different researchers? perspectives. The PRISMA framework was used for a systematic literature review, and 120 research articles from the computational ...
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Zhiguo Shao, Mengdi Li, Dehu Yu, Chuanfeng Han and Lingpeng Meng
With the continuous advancement of urbanization, a huge amount of construction waste is generated in large-scale construction activities, which has aggravated the problems of environmental pollution, waste of resources and destruction of city appearance....
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Dan He, Zixuan Chen, Tao Pei and Jing Zhou
China has entered an era of rapid high-speed railway (HSR) development and the spatial structure of urban agglomerations will evolve in parallel with the development and evolution of the spatial structure of the HSR network. In this study, we explore how...
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Shi Shen, Junwang Huang, Changxiu Cheng, Ting Zhang, Nikita Murzintcev and Peichao Gao
Social media has been a vital channel for communicating and broadcasting disaster-related information. However, the global spatiotemporal patterns of social media users? activities, interactions, and connections after a natural disaster remain unclear. H...
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Kun Fu, Tingyun Mao, Yang Wang, Daoyu Lin, Yuanben Zhang and Xian Sun
Ego-network, which can describe relationships between a focus node (i.e., ego) and its neighbor nodes (i.e., alters), often changes over time. Exploring dynamic ego-networks can help users gain insight into how each ego interacts with and is influenced b...
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Víctor de la Fuente Castillo, Alberto Díaz-Álvarez, Miguel-Ángel Manso-Callejo and Francisco Serradilla García
This system can be applied to automatically design the architecture of deep artificial neural networks for any given labeled dataset.
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Jinsong Zhang, Xue Yang, Xuan Hu and Taoying Li
How to explore the interaction between an individual researcher and others in scientific research, find out the degree of association among individual researchers, and evaluate the contribution of researchers to the whole according to the mechanism and l...
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Mansooreh Kazemilari and Ali Mohamadi
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Mansooreh Kazemilari and Ali Mohamadi
Correlation network based on similarity is the common approach in financial network analyses where the Minimal Spanning Tree (MST) is used to filter the important information contained in the network. In this paper, by considering a distance matrix based...
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Enrico Miccadei, Cristiano Carabella, Giorgio Paglia and Tommaso Piacentini
This work analyzes the role of paleo-drainage network, morphotectonics, and surface processes in landscape evolution in a sector of the transition zone between the chain and the piedmont area of Central Apennines. Particularly, it focuses on the Verde St...
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