Complex network theory-based optimization for enhancing resilience of large-scale multi-energy System

Zhang, Chenwei; Wang, Ying; Zheng, Tao; Zhang, Kaifeng

doi:10.1016/j.apenergy.2024.123593

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2024

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Cited by 2 publications

References 51 publications

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Control in Low-Inertia Power and Integrated Energy Systems

Schiffer,

Simpson-Porco,

Parisio

2024

Reference Module in Materials Science and Materials Engineering

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Control in Low-Inertia Power and Integrated Energy Systems

Schiffer,

Simpson-Porco,

Parisio

2024

Reference Module in Materials Science and Materials Engineering

View full text Add to dashboard Cite

Research on Social Network Data Analysis and Criminal Network Identification in Criminal Law

Yang

2024

Applied Mathematics and Nonlinear Sciences

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The public security system is increasingly utilizing technology and big data for criminal network identification, making the identification of criminal suspects through social data a crucial aspect of current criminal network identification. Based on our research into the verbal features of networks used to portray criminal suspects, we constructed a criminal network identification system using social networks and complex network theory. We then designed the overall framework and main functional modules. We established the case data warehouse of public security agencies and built the social relationship network of criminal suspects. This paper compares the effectiveness of the complex network (CN) algorithm with other community delineation algorithms and utilizes the criminal network identification system it constructs for case data mining and analysis. The extended modularity values of the CN algorithm proposed in this paper on four real datasets are the largest among all algorithms, and the community delineation effect is optimal. In the mining of criminal gangs, a1, a3, and a15 represent the heads of the gangs, while a56 shares similar duty content with a1, a3, and a15, albeit at a lower rank. A65 is in charge of connecting and communicating with gang members.

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Complex network theory-based optimization for enhancing resilience of large-scale multi-energy System

Cited by 2 publications

References 51 publications

Control in Low-Inertia Power and Integrated Energy Systems

Control in Low-Inertia Power and Integrated Energy Systems

Research on Social Network Data Analysis and Criminal Network Identification in Criminal Law

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