Expectation-maximizing network reconstruction and most applicable network types based on binary time series data
Based on the binary time series data of social infection dynamics, we propose a general
framework to reconstruct the 2-simplicial complexes with two-body and three-body …
framework to reconstruct the 2-simplicial complexes with two-body and three-body …
GA-based Q-attack on community detection
J Chen, L Chen, Y Chen, M Zhao, S Yu… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Community detection plays an important role in social networks, since it can help to naturally
divide the network into smaller parts so as to simplify network analysis. However, on the …
divide the network into smaller parts so as to simplify network analysis. However, on the …
Multiplex network reconstruction for the coupled spatial diffusion of infodemic and pandemic of COVID-19
The pandemic of COVID-19 witnessed a massive infodemic with the public being
bombarded with vast quantities of information. The spreading of neutral and highly accurate …
bombarded with vast quantities of information. The spreading of neutral and highly accurate …
Motif-based functional backbone extraction of complex networks
As a natural abstraction of a large number of real-world systems, the structure and function
of complex networks have been attracting increasing attentions in recent years. Existing …
of complex networks have been attracting increasing attentions in recent years. Existing …
Data based reconstruction of duplex networks
It has been recognized that many complex dynamical systems in the real world require a
description in terms of multiplex networks, where a set of common, mutually connected …
description in terms of multiplex networks, where a set of common, mutually connected …
Identifying partial topology of simplicial complexes
Z Fan, X Wu - Chaos: An Interdisciplinary Journal of Nonlinear …, 2022 - pubs.aip.org
This paper investigates partial topology identification of simplicial complexes based on
adaptive synchronization. For the nodes of interest, the interactions that they participate in …
adaptive synchronization. For the nodes of interest, the interactions that they participate in …
General optimization framework for accurate and efficient reconstruction of symmetric complex networks from dynamical data
The challenging problem of network reconstruction from dynamical data can in general be
formulated as an optimization task of solving multiple linear equations. Existing approaches …
formulated as an optimization task of solving multiple linear equations. Existing approaches …
TRTCD: Trust route prediction based on trusted community detection
E Golzardi, A Sheikhahmadi… - Multimedia Tools and …, 2023 - Springer
Social networks have become increasingly popular and are used for various activities. It is
essential to evaluate the trustworthiness of the path between two unknown users in social …
essential to evaluate the trustworthiness of the path between two unknown users in social …
Contagion of information on two-layered weighted complex network
In recent years, information spreading mechanism on the social networks has received
extensive attention. Previous studies usually simplify the social relationships as binary …
extensive attention. Previous studies usually simplify the social relationships as binary …
Inferring network structure and estimating dynamical process from binary-state data via logistic regression
Inferring the structures and the dynamics of the complex networked systems based on time
series data is a challenging problem. The existing reconstruction methods often rely on the …
series data is a challenging problem. The existing reconstruction methods often rely on the …