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Welcome to PLOS Complex Systems

April 9, 2026

Welcome to PLOS Complex Systems

       

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04/06/2026

research article

Algorithmic influence on conflict and cooperation in digital communities

This study focuses on the contrasting dynamics of discussion and information dissemination on two influential platforms: X and Wikipedia. While X often serves as a battleground for contentious debates, where users engage in direct confrontation, Wikipedia fosters a collaborative environment aimed at reaching consensus. 

Image credit: Planet Volumes

Algorithmic influence on conflict and cooperation in digital communities

04/18/2026

research article

Inference and training efficiency in pruned multilayer perceptron networks

This study explores how pruning strategies can improve the efficiency of deep neural networks (DNNs), which are widely used for tasks like image processing, medical diagnosis, etc. Although DNNs are powerful, they often contain weaker connections that can lead to increased energy consumption both during training and inference.

Image credit: Conny Schneider

Inference and training efficiency in pruned multilayer perceptron networks

04/13/2026

Review

Towards a foundational platform for generative agents in simulated city environment

The technology innovation in big data, artificial intelligence, urban computing, and digital twins have laid the groundwork for sophisticated city simulation. However, a gap persists between these technological capabilities and their practical implementation in addressing urban issues because they often fall short of capturing the complex and subtle human behaviour in urban space. 

Image credit: Pedro Lastra

Towards a foundational platform for generative agents in simulated city environment

03/05/2026

research article

Cascades and convergence: Dynamic signal flow in a synapse-level brain network

Connectomes constrain how signals flow through the nervous system, shaping the transmission of sensory information to downstream targets involved in perception, decision-making, and action. The authors use a simple, network-based spreading model to simulate sensory signal propagation across the adult Drosophila...

Cascades and convergence: Dynamic signal flow in a synapse-level brain network

Image credit: Amal Biju Unni

03/04/2026

research article

Fast algorithms to improve fair information access in networks

The authors consider the problem of selecting k seed nodes in a network to maximize the minimum probability of activation under an independent cascade beginning at these seeds. The motivation is to promote fairness by ensuring that even the least advantaged members of the network have good access to information.

Fast algorithms to improve fair information access in networks

Image credit: Logan Voss

02/23/2026

research article

Can adversarial attacks by large language models be attributed?

Attributing outputs from Large Language Models (LLMs) in adversarial settings—such as cyberattacks and disinformation campaigns—presents significant challenges that are likely to grow in importance. The authors approach this attribution problem from both a theoretical and empirical perspective, drawing on formal language theory and data-driven analysis of the expanding LLM ecosystem.

Can adversarial attacks by large language models be attributed?

Image credit: Markus Spiske

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PLOS Complex Systems | ISSN: 2837-8830 (online)