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The urban-rural divide is increasing in modern societies calling for geographical extensions of social influence modelling. Improved understanding of innovation diffusion across locations and through social connections can provide us with…

The dynamics of urban systems can be understood from an evolutionary perspective, in some sense extending biological and cultural evolution. Models for systems of cities implementing elementary evolutionary processes remain however to be…

物理与社会 · 物理学 2020-05-01 Juste Raimbault

Cities and metropolitan areas are major drivers of creativity and innovation in all possible sectors: scientific, technological, social, artistic, etc. The critical concentration and proximity of diverse mindsets and opportunities,…

物理与社会 · 物理学 2023-07-07 Matteo Straccamore , Vittorio Loreto , Pietro Gravino

Urban systems are characterized by populations with heterogeneous characteristics, and whose spatial distribution is crucial to understand inequalities in life expectancy or education level. Traditional studies on spatial segregation…

物理与社会 · 物理学 2023-01-02 Aleix Bassolas , Sergio Gómez , Alex Arenas

Adoption of cultural innovation (e.g., music, beliefs, language) is often geographically correlated, with adopters largely residing within the boundaries of relatively few well-studied, socially significant areas. These cultural regions are…

社会与信息网络 · 计算机科学 2022-02-11 Aparna Ananthasubramaniam , David Jurgens , Daniel M. Romero

While there has been much work examining the affects of social network structure on innovation adoption, models to date have lacked important features such as meta-populations reflecting real geography or influence from mass media forces.…

社会与信息网络 · 计算机科学 2015-05-30 Jameson L. Toole , Meeyoung Cha , Marta C. Gonzalez

The ways in which an innovation (e.g., new behaviour, idea, technology, product) diffuses among people can determine its success or failure. In this paper, we address the problem of diffusion of innovations over multiplex social networks…

社会与信息网络 · 计算机科学 2014-08-26 Rasoul Ramezanian , Mostafa Salehi , Matteo Magnani , Danilo Montesi

One of the most important features of spatial networks such as transportation networks, power grids, Internet, neural networks, is the existence of a cost associated with the length of links. Such a cost has a profound influence on the…

物理与社会 · 物理学 2013-06-04 Rémi Louf , Pablo Jensen , Marc Barthelemy

Acceptance of an innovation can occur through mutliple exposures to individuals who have already accepted it. Presented here is a model to trace the evolution of an innovation in a social network with a preference $\lambda$, amidst…

物理与社会 · 物理学 2014-08-22 Varsha S. Kulkarni

We analyze information diffusion using empirical data that tracks online communication around two instances of mass political mobilization, including the year that lapsed in-between the protests. We compare the global properties of the…

The macro social influence is recognized as a non-negligible ingredient in innovation propagation: more adopters in the network lead to a higher adoption tendency for the rest individuals. A recent study to incorporate such a crucial…

物理与社会 · 物理学 2023-05-24 Leyang Xue , Peng-Bi Cui , Zengru Di

Knowledge silos emerge when structural properties of organizational interaction networks limit the diffusion of information. These structural barriers are known to take many forms at different scales - hubs in otherwise sparse…

物理与社会 · 物理学 2022-03-03 Laurent Hébert-Dufresne , Guillaume St-Onge , John Meluso , James Bagrow , Antoine Allard

A fundamental question related to innovation diffusion is how the social network structure influences the process. Empirical evidence regarding real-world influence networks is very limited. On the other hand, agent-based modeling…

物理与社会 · 物理学 2015-06-17 Katarzyna Sznajd-Weron , Janusz Szwabinski , Rafal Weron , Tomasz Weron

The efficient use of available resources is a key factor in achieving success on both personal and organizational levels. One of the crucial resources in knowledge economy is time. The ability to force others to adapt to our schedule even…

多智能体系统 · 计算机科学 2017-06-06 Michal Kakol , Radoslaw Nielek , Adam Wierzbicki

Network--based epidemic models that account for heterogeneous contact patterns are extensively used to predict and control the diffusion of infectious diseases. We use census and survey data to reconstruct a geo--referenced and…

社会与信息网络 · 计算机科学 2026-05-19 Alessandro Celestini , Francesca Colaiori , Stefano Guarino , Enrico Mastrostefano , Lena Rebecca Zastrow

Geographic borders are not only essential for the effective functioning of government, the distribution of administrative responsibilities and the allocation of public resources, they also influence the interregional flow of information,…

物理与社会 · 物理学 2011-03-30 C. Thiemann , F. Theis , D. Grady , R. Brune , D. Brockmann

We develop a Schumpeterian quality-ladder spatial model in which innovation arrivals depend on regional knowledge spillovers. A parsimonious reduced-form diffusion mechanism induces the convergence of regions' average distance to the global…

理论经济学 · 经济学 2025-12-09 José M. Gaspar , Minoru Osawa

Diffusion channels are critical to determining the adoption scale which leads to the ultimate impact of an innovation. The aim of this study is to develop an integrative understanding of the impact of two diffusion channels (i.e.,…

社会与信息网络 · 计算机科学 2021-03-09 Yujia Zhai , Ying Ding , Hezhao Zhang

Only a fast and global transformation towards decarbonization and sustainability can keep the Earth in a civilization-friendly state. As hotspots for (green) innovation and experimentation, cities could play an important role in this…

物理与社会 · 物理学 2022-04-12 Niklas H. Kitzmann , Pawel Romanczuk , Jonathan F. Donges

The distributions of species lifetimes and species in space are related, since species with good local survival chances have more time to colonize new habitats and species inhabiting large areas have higher chances to survive local…

种群与进化 · 定量生物学 2019-02-18 Tobias Rogge , David Jones , Barbara Drossel , Korinna T. Allhoff
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