From homophily to exclusion in small social systems

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2025, Volume and Issue: 35(1)

Published: Jan. 1, 2025

The actors are placed at nodes of the complete weighted graph. They endowed with densities contact other and positions in a social hierarchy. These characteristics evolve time according to homophily principle Matthew effect. result is that an actor minimal status excluded, all get same high position. As for examples, results allow us make reference racial criteria promotion London Metropolitan Police, scapegoating phenomenon, described literature.

Language: Английский

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Optimal control of spatial diseases spreading in networked reaction–diffusion systems

Physics Reports, Journal Year: 2025, Volume and Issue: 1111, P. 1 - 64

Published: Feb. 1, 2025

Language: Английский

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Influence maximization based on bottom-up community merging

Chaos Solitons & Fractals, Journal Year: 2025, Volume and Issue: 193, P. 116078 - 116078

Published: Feb. 10, 2025

Language: Английский

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Modelling multiscale infectious disease in complex systems

Physics Reports, Journal Year: 2025, Volume and Issue: 1113, P. 1 - 57

Published: Feb. 11, 2025

Language: Английский

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The impact of cross-layer movement on epidemic spreading in time-varying multiplex networks

Physica Scripta, Journal Year: 2025, Volume and Issue: 100(4), P. 045206 - 045206

Published: Feb. 24, 2025

Abstract In the context of real-world multiplex networks, movement individuals across different layers introduced interlayer coupling, which significantly affected diffusion processes within each layer. Additionally, relationships among undergo changes over time. Despite abundant literature on dynamics propagation in complex impact transitions (or jumps, shifts) spread epidemics activity-driven time-varying networks remains a relatively unexplored area. this study, we two-layer network model that incorporated subset nodes known as inter-layer travelers, allowing them to move between layers. We developed theoretical framework based quenched mean-field approximation, yielded precise estimations epidemic thresholds and final states both Our findings indicated hopping behavior travelers nature impeded disease transmission process. Furthermore, stronger heterogeneity individual activities could promote spread. However, enhanced sub-networks with lower node activity while inhibiting it higher heterogeneity. contact capacity promoted spread, traveler spreading sparse layer suppressing dense Notably, an positive correlation two can greatly suppress dynamics, suggesting practical effective approach controlling real world.

Language: Английский

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Study on the robust control of higher-order networks

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 27, 2025

With the development of information technology, interactions between nodes are no longer restricted to two nodes. Recently, researchers have proposed a higher-order network, which is more suitable describe multidimensional interaction relationships in systems. A network with good robustness can effectively resist natural disasters and deliberate attacks. How improve worth studying. In this paper, we construct networks based on simplex structure. addition, propose capacity load model that networks. The simulation results show positively correlated size high-order larger robust attack strategies. related number 2-simplexes network. Furthermore, affected by weight coefficients 1-simplex 2-simplex interactions. Therefore, controlling 1- We verified conclusions synthetic constructed real data.

Language: Английский

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Epidemic spreading on biological evolution networks

Mathematical Biosciences, Journal Year: 2025, Volume and Issue: unknown, P. 109416 - 109416

Published: March 1, 2025

Language: Английский

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Heterogeneous K-core percolation on hypergraphs

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2025, Volume and Issue: 35(3)

Published: March 1, 2025

In complex systems, there are pairwise and multiple interactions among elements, which can be described as hypergraphs. K-core percolation is widely utilized in the investigation of robustness systems subject to random or targeted attacks. However, nodes usually correlates with their characteristics, such degree, exhibits heterogeneity while lacking a theoretical study on hypergraph. To this end, we constructed hyperedge model that introduces parameters divide active hyperedges into two parts, where inactive unless they have certain number nodes. stage pruning process, when contained less than its set value, it will pruned, result deletion other ultimately trigger cascading failures. We studied magnitude giant connected component threshold by mapping hypergraph factor graph. Subsequently, conducted large simulation experiments, values matched well simulated values. The proposed significant impact type phase transition network. found decreasing value renders network more fragile, increasing makes resilient under Meanwhile, parameter decreases 0, may cause change nature transition, shows hybrid transition.

Language: Английский

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A universal representation for quantifying the significance of higher-order structures within networks under complex propagation mechanisms

Chinese Journal of Physics, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

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Turing pattern theory on homogeneous and heterogeneous higher-order temporal network system

Journal of Mathematical Physics, Journal Year: 2025, Volume and Issue: 66(4)

Published: April 1, 2025

Reaction-diffusion processes on networked systems have received mounting attention in the past two decades, and corresponding network dynamics theories been continuously enriched with advancement of science. Recently, time-varying feature many-body interactions discovered various numerous networks real world like biological social systems, study contemporary science has gradually moved away from historically static frameworks that are based pairwise interactions. We aimed to propose a general rudimentary framework for Turing instability reaction-diffusion higher-order temporal networks. Firstly, we define brand Laplacian depict diffusion behaviors Furthermore, form frequency oscillation is defined, time-independent concise obtained by equivalent substitution method averaging. Next, discuss cases homogeneous heterogeneous give conditions through linear stability analysis. Finally, numerical simulation part, verify validity above theoretical effect processes. Our revealed reaction-diffusion, which takes into account both interactions, can formulate innovative diversified patterns. Moreover, these significantly differences patterns continuous space traditional

Language: Английский

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