npj Complexity最新文献

Information architectures: a framework for understanding socio-technical systems. 信息架构：理解社会技术系统的框架。

npj Complexity Pub Date : 2025-01-01 Epub Date: 2025-04-17 DOI: 10.1038/s44260-025-00037-z

Paul E Smaldino, Adam Russell, Matthew R Zefferman, Judith Donath, Jacob G Foster, Douglas Guilbeault, Martin Hilbert, Elizabeth A Hobson, Kristina Lerman, Helena Miton, Cody Moser, Jana Lasser, Sonja Schmer-Galunder, Jacob N Shapiro, Qiankun Zhong, Dan Patt

{"title":"Information architectures: a framework for understanding socio-technical systems.","authors":"Paul E Smaldino, Adam Russell, Matthew R Zefferman, Judith Donath, Jacob G Foster, Douglas Guilbeault, Martin Hilbert, Elizabeth A Hobson, Kristina Lerman, Helena Miton, Cody Moser, Jana Lasser, Sonja Schmer-Galunder, Jacob N Shapiro, Qiankun Zhong, Dan Patt","doi":"10.1038/s44260-025-00037-z","DOIUrl":"https://doi.org/10.1038/s44260-025-00037-z","url":null,"abstract":"A sequence of technological inventions over several centuries has dramatically lowered the cost of producing and distributing information. Because societies ride on a substrate of information, these changes have profoundly impacted how we live, work, and interact. This paper explores the nature of information architectures (IAs)-the features that govern how information flows within human populations. IAs include physical and digital infrastructures, norms and institutions, and algorithmic technologies for filtering, producing, and disseminating information. IAs can reinforce societal biases and lead to prosocial outcomes as well as social ills. IAs have culturally evolved rapidly with human usage, creating new affordances and new problems for the dynamics of social interaction. We explore societal outcomes instigated by shifts in IAs and call for an enhanced understanding of the social implications of increasing IA complexity, the nature of competition among IAs, and the creation of mechanisms for the beneficial use of IAs.","PeriodicalId":501707,"journal":{"name":"npj Complexity","volume":"2 1","pages":"13"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12006018/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144057200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Governance as a complex, networked, democratic, satisfiability problem. 治理是一个复杂的、网络化的、民主的、可满足的问题。

npj Complexity Pub Date : 2025-01-01 Epub Date: 2025-05-01 DOI: 10.1038/s44260-025-00041-3

Laurent Hébert-Dufresne, Nicholas W Landry, Juniper Lovato, Jonathan St-Onge, Jean-Gabriel Young, Marie-Ève Couture-Ménard, Stéphane Bernatchez, Catherine Choquette, Alan A Cohen

{"title":"Governance as a complex, networked, democratic, satisfiability problem.","authors":"Laurent Hébert-Dufresne, Nicholas W Landry, Juniper Lovato, Jonathan St-Onge, Jean-Gabriel Young, Marie-Ève Couture-Ménard, Stéphane Bernatchez, Catherine Choquette, Alan A Cohen","doi":"10.1038/s44260-025-00041-3","DOIUrl":"https://doi.org/10.1038/s44260-025-00041-3","url":null,"abstract":"Democratic governments comprise a subset of a population whose goal is to produce coherent decisions solving societal challenges while respecting the will of the people. New governance frameworks represent this as a social network rather than as a hierarchical pyramid with centralized authority. But how should this network be structured? We model the decisions a population must make as a satisfiability problem and the structure of information flow involved in decision-making as a social hypergraph. This framework allows to consider different governance structures, from dictatorships to direct democracy. Between these extremes, we find a regime of effective governance where small overlapping decision groups make specific decisions and share information. Effective governance allows even incoherent or polarized populations to make coherent decisions at low coordination costs. Beyond simulations, our conceptual framework can explore a wide range of governance strategies and their ability to tackle decision problems that challenge standard governments.","PeriodicalId":501707,"journal":{"name":"npj Complexity","volume":"2 1","pages":"14"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12045800/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144001667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Emergence of shield immunity during spatial contagions. 空间传染期间盾构免疫的出现。

npj Complexity Pub Date : 2025-01-01 Epub Date: 2025-06-04 DOI: 10.1038/s44260-025-00044-0

Christina M Jamerlan, Mikhail Prokopenko

{"title":"Emergence of shield immunity during spatial contagions.","authors":"Christina M Jamerlan, Mikhail Prokopenko","doi":"10.1038/s44260-025-00044-0","DOIUrl":"10.1038/s44260-025-00044-0","url":null,"abstract":"Contagions spreading across space-including epidemics, infodemics, and socio-economic turbulence - generate complex geo-spatial patterns shaped by contagion state and risk-driven population mobility. Distribution of resources for mitigating these contagions adds further complexity. We present a concise, generic framework to model various contagion types within a space characterized by bounded risk disposition parameters and generalized resource effectiveness. Specifically, we explore how (i) risk-averse behavior of \"inoculated\" individuals and (ii) resource effectiveness in reducing contagion \"incidence\" influence pattern formation and spread of infection, opinion polarization, social myths, and socio-economic disruptions. We show that \"inoculated\" individuals interacting with affected populations may help minimize contagion impact by curbing further transmission. We identify this as a generalized form of shield immunity and explain its emergence in terms of individual risk disposition. This shielding effect is strongest in socio-economic turbulence, moderate in epidemics, limited in social myth spreading, and not observed in polarization dynamics.","PeriodicalId":501707,"journal":{"name":"npj Complexity","volume":"2 1","pages":"19"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12225409/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144562544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Distinguishing mechanisms of social contagion from local network view. 从局部网络视角辨析社会传染机制。

npj Complexity Pub Date : 2025-01-01 Epub Date: 2025-03-04 DOI: 10.1038/s44260-025-00034-2

Elsa Andres, Gergely Ódor, Iacopo Iacopini, Márton Karsai

引用次数: 0

Modeling the amplification of epidemic spread by individuals exposed to misinformation on social media. 通过在社交媒体上接触错误信息的个人对流行病传播的放大进行建模。

npj Complexity Pub Date : 2025-01-01 Epub Date: 2025-04-02 DOI: 10.1038/s44260-025-00038-y

Matthew R DeVerna, Francesco Pierri, Yong-Yeol Ahn, Santo Fortunato, Alessandro Flammini, Filippo Menczer

{"title":"Modeling the amplification of epidemic spread by individuals exposed to misinformation on social media.","authors":"Matthew R DeVerna, Francesco Pierri, Yong-Yeol Ahn, Santo Fortunato, Alessandro Flammini, Filippo Menczer","doi":"10.1038/s44260-025-00038-y","DOIUrl":"10.1038/s44260-025-00038-y","url":null,"abstract":"Understanding how misinformation affects the spread of disease is crucial for public health, especially given recent research indicating that misinformation can increase vaccine hesitancy and discourage vaccine uptake. However, it is difficult to investigate the interaction between misinformation and epidemic outcomes due to the dearth of data-informed holistic epidemic models. Here, we employ an epidemic model that incorporates a large, mobility-informed physical contact network as well as the distribution of misinformed individuals across counties derived from social media data. The model allows us to simulate various scenarios to understand how epidemic spreading can be affected by misinformation spreading through one particular social media platform. Using this model, we compare a worst-case scenario, in which individuals become misinformed after a single exposure to low-credibility content, to a best-case scenario where the population is highly resilient to misinformation. We estimate the additional portion of the U.S. population that would become infected over the course of the COVID-19 epidemic in the worst-case scenario. This work can provide policymakers with insights about the potential harms of exposure to online vaccine misinformation.","PeriodicalId":501707,"journal":{"name":"npj Complexity","volume":"2 1","pages":"11"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11964913/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143797547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spatial structure supports diversity in prebiotic autocatalytic chemical ecosystems. 空间结构支持益生元自催化化学生态系统的多样性。

npj Complexity Pub Date : 2025-01-01 Epub Date: 2025-07-03 DOI: 10.1038/s44260-025-00045-z

Alex M Plum, Christopher P Kempes, Zhen Peng, David A Baum

引用次数: 0

Author Correction: Triangulation for causal loop diagrams: constructing biopsychosocial models using group model building, literature review, and causal discovery 作者更正：因果循环图的三角测量：使用群体模型构建、文献回顾和因果发现构建生物心理社会模型

npj Complexity Pub Date : 2024-12-18 DOI: 10.1038/s44260-024-00024-w

Jeroen F. Uleman, Maartje Luijten, Wilson F. Abdo, Jana Vyrastekova, Andreas Gerhardus, Jakob Runge, Naja Hulvej Rod, Maaike Verhagen

引用次数: 0

How much longer do you have to drive than the crow has to fly? 你开车的时间比乌鸦飞的时间长多少？

npj Complexity Pub Date : 2024-12-12 DOI: 10.1038/s44260-024-00023-x

Shanshan Wang, Henrik M. Bette, Michael Schreckenberg, Thomas Guhr

引用次数: 0

Human behavior-driven epidemic surveillance in urban landscapes 城市景观中人类行为驱动的流行病监测

npj Complexity Pub Date : 2024-12-04 DOI: 10.1038/s44260-024-00021-z

P. Valgañón, A. F. Useche, F. Montes, A. Arenas, D. Soriano-Paños, J. Gómez-Gardeñes

{"title":"Human behavior-driven epidemic surveillance in urban landscapes","authors":"P. Valgañón, A. F. Useche, F. Montes, A. Arenas, D. Soriano-Paños, J. Gómez-Gardeñes","doi":"10.1038/s44260-024-00021-z","DOIUrl":"10.1038/s44260-024-00021-z","url":null,"abstract":"We introduce a surveillance strategy specifically designed for urban areas to enhance preparedness and response to disease outbreaks by leveraging the unique characteristics of human behavior within urban contexts. By integrating data on individual residences and travel patterns, we construct a Mixing matrix that facilitates the identification of critical pathways that ease pathogen transmission across urban landscapes enabling targeted testing strategies. Our approach not only enhances public health systems’ ability to provide early epidemiological alerts but also underscores the variability in strategy effectiveness based on urban layout. We prove the feasibility of our mobility-informed policies by mapping essential mobility links to major transit stations, showing that few resources focused on specific stations yields a more effective surveillance than non-targeted approaches. This study emphasizes the critical role of integrating human behavioral patterns into epidemic management strategies to improve the preparedness and resilience of major cities against future outbreaks.","PeriodicalId":501707,"journal":{"name":"npj Complexity","volume":" ","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44260-024-00021-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142762930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Rebound in epidemic control: how misaligned vaccination timing amplifies infection peaks 流行病控制中的反弹：疫苗接种时间错位如何放大感染高峰

npj Complexity Pub Date : 2024-11-06 DOI: 10.1038/s44260-024-00020-0

Piergiorgio Castioni, Sergio Gómez, Clara Granell, Alex Arenas

{"title":"Rebound in epidemic control: how misaligned vaccination timing amplifies infection peaks","authors":"Piergiorgio Castioni, Sergio Gómez, Clara Granell, Alex Arenas","doi":"10.1038/s44260-024-00020-0","DOIUrl":"10.1038/s44260-024-00020-0","url":null,"abstract":"In this study, we explore the dynamic interplay between the timing of vaccination campaigns and the trajectory of disease spread in a population. Through modeling and comprehensive data analysis of model output, we have uncovered a counter-intuitive phenomenon: initiating a vaccination process at an inopportune moment can paradoxically result in a more pronounced second peak of infections. This “rebound” phenomenon challenges the conventional understanding of vaccination impacts on epidemic dynamics. We provide a detailed examination of how improperly timed vaccination efforts can inadvertently reduce the overall immunity level in a population, considering both natural and vaccine-induced immunity. Our findings reveal that such a decrease in population-wide immunity can lead to a delayed, yet more severe, resurgence of cases. This study not only adds a critical dimension to our understanding of vaccination strategies in controlling pandemics but also underscores the necessity for strategically timed interventions to optimize public health outcomes. Furthermore, we compute which vaccination strategies are optimal for a COVID-19 tailored mathematical model, and find that there are two types of optimal strategies. The first type prioritizes vaccinating early and rapidly to reduce the number of deaths, while the second type acts later and more slowly to reduce the number of cases; both of them target primarily the elderly population. Our results hold significant implications for the formulation of vaccination policies, particularly in the context of rapidly evolving infectious diseases.","PeriodicalId":501707,"journal":{"name":"npj Complexity","volume":" ","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44260-024-00020-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142588302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0