Modeling and monitoring of a multivariate spatio-temporal network system

Wang, Di; Li, Fangyu; Liu, Kaibo

doi:10.1080/24725854.2021.1973157

Cited by 7 publications

(1 citation statement)

References 40 publications

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“…As one of the most important tools, the control chart aims to identify and eliminate the abnormal variation of production or service processes, which helps reduce defective goods or services [1]. In recent years, many control charts have been proposed to detect the anomalies in networks such as spams in email networks [2], viruses in protein-protein networks [3], and cyber-attacks in Internet of Things (IoT) networks [4]. These wide use of control charts in complex networks can assure the sustainable development of companies, factories, human beings and so on.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Control Chart for Monitoring Unweighted Networks With Overlapping Communities

Wei,

2024

IEEE Access

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In recent years, detecting anomalies in networks has attracted much attention in the literature. Researchers have developed various statistical process control (SPC) techniques to monitor the communication level within the networks. It is quite common to see the nodes belonging to some densely connected communities or subgroups and the nodes within a community communicate with each other more frequently than with nodes from other communities. However, we can find scarce SPC techniques that consider the multiple community labels and heterogeneity of nodes simultaneously. It is necessary to overcome this drawback to improve the change detection efficiency. This article establishes a new mixedmembership stochastic block model to characterize the multiple community labels and heterogeneity of nodes simultaneously. Then a new control chart is developed based on generalized likelihood ratio test (GLRT). The proposed control chart can be easily implemented in practice and avoids constant parameter estimation in Phase II monitoring. Numerous simulation studies and a real example show the advantages of proposed chart over existing ones.INDEX TERMS change detection, unweighted directed networks, stochastic block model, statistical process control.

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