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相关论文: Technology networks: the autocatalytic origins of …

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We introduce a model for the emergence of innovations, in which cognitive processes are described as random walks on the network of links among ideas or concepts, and an innovation corresponds to the first visit of a node. The transition…

物理与社会 · 物理学 2018-01-25 Iacopo Iacopini , Staša Milojević , Vito Latora

The purpose of this study is to investigate the structure and evolution of knowledge spillovers across technological domains. Specifically, dynamic patterns of knowledge flow among 29 technological domains, measured by patent citations for…

社会与信息网络 · 计算机科学 2017-06-23 Jieun Kim , Christopher L. Magee

This study examines the network of supply and use of significant innovations across industries in Sweden, 1970-2013. It is found that 30% of innovation patterns can be predicted by network stimulus from backward and forward linkages. The…

综合经济学 · 经济学 2021-02-12 Josef Taalbi

This paper outlines a framework for the study of innovation that treats discoveries as additions to evolving networks. As inventions enter they expand or limit the reach of the ideas they build on by influencing how successive discoveries…

社会与信息网络 · 计算机科学 2012-12-17 Russell J. Funk , Jason Owen-Smith

We consider the population dynamics of a set of species whose network of catalytic interactions is described by a directed graph. The relationship between the attractors of this dynamics and the underlying graph theoretic structures like…

adap-org · 物理学 2009-10-30 Sanjay Jain , Sandeep Krishna

We reconstruct the innovation dynamics of about two hundred thousand companies by following their patenting activity for about ten years. We define the technological portfolios of these companies as the set of the technological sectors…

物理与社会 · 物理学 2021-10-06 Matteo Straccamore , Luciano Pietronero , Andrea Zaccaria

The web of relations linking technological innovation can be fairly described in terms of patent citations. The resulting patent citation network provides a picture of the large-scale organization of innovations and its time evolution. Here…

物理与社会 · 物理学 2009-11-13 Sergi Valverde , Ricard V. Solé , Mark A. Bedau , Norman H. Packard

There has been a long debate on how new levels of organization have evolved. It might seem unlikely, as cooperation must prevail over competition. One well-studied example is the emergence of autocatalytic sets, which seem to be a…

种群与进化 · 定量生物学 2026-02-16 Sean P. Maley , Carlos Gershenson , Stuart A. Kauffman

Autocatalytic sets are sets of entities that mutually catalyse each other's production through chemical reactions from a basic food source. Recently, the reflexively autocatalytic and food generated theory has introduced a formal definition…

适应与自组织系统 · 物理学 2020-09-15 Alessandro Ravoni

This chapter synthesizes evidence from cognitive science, evolutionary theory, anthropology, psychological studies, and computational models for a complex systems inspired theory of creativity, and its role in cultural evolution. Creativity…

物理与社会 · 物理学 2024-06-25 Liane Gabora

We propose a simple model where the innovation rate of a technological domain depends on the innovation rate of the technological domains it relies on. Using data on US patents from 1836 to 2017, we make out-of-sample predictions and find…

物理与社会 · 物理学 2020-03-03 Anton Pichler , François Lafond , J. Doyne Farmer

This work illustrates potentials for recognition within {\em ad hoc} sensor networks if their nodes possess individual inter-related biologically inspired genetic codes. The work takes ideas from natural immune systems protecting organisms…

密码学与安全 · 计算机科学 2009-12-31 Reinert Korsnes , Knut Ovsthus

Innovation is cumulative and interdependent: successful inventions build on prior knowledge within technological fields and may also affect success across related ones. Yet these dimensions are often studied separately in the innovation…

应用统计 · 统计学 2026-04-10 Giacomo Aletti , Irene Crimaldi , Andrea Ghiglietti , Federico Nutarelli

We explore a dynamic patent citation network model to explain the established link between network structure and technological improvement rate. This model, a type of survival model, posits that the *dynamic* network structure determines…

综合经济学 · 经济学 2025-02-04 David Dekker , Dimitirs Christopoulos , Heather McGregor

The growth of science and technology is a recombinative process, wherein new discoveries and inventions are built from prior knowledge. Yet relatively little is known about the manner in which scientific and technological knowledge develop…

社会与信息网络 · 计算机科学 2020-11-25 Thomas Gebhart , Russell J. Funk

We develop a new framework for modeling innovation networks which evolve over time. The nodes in the network represent firms, whereas the directed links represent unilateral interactions between the firms. Both nodes and links evolve…

物理与社会 · 物理学 2007-12-18 Michael D. Koenig , Stefano Battiston , Frank Schweitzer

Technological knowledge evolves not only through the generation of new ideas, but also through the reinterpretation of existing ones. Reinterpretations lead to changes in the classification of knowledge, that is, reclassification. This…

综合经济学 · 经济学 2025-06-11 Peter Persoon

Firms' positions in innovation networks determine their access to external knowledge, yet how these positions shape technological search behavior and influence productivity remains underexplored. We propose that central network positions…

物理与社会 · 物理学 2026-04-22 Han-Yun Tu , Xiang Yang , Si-Yao Wei

The concept of (auto)catalytic systems has become a cornerstone in understanding evolutionary processes in various fields. The common ground is the observation that for the production of new species/goods/ideas/elements etc. the…

种群与进化 · 定量生物学 2009-11-13 Rudolf Hanel , Peter Klimek , Stefan Thurner

Research in the domain of 'Innovation Studies' has been claimed to allow for the study of how technology will develop in the future. Some suggest that the National and Sectoral Innovation Systems literature has become bogged down, however,…

物理与社会 · 物理学 2011-08-02 Wilfred Dolfsma , Loet Leydesdorff
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