标题： 量化创新放弃在科学、技术、商业和药理学领域的动态变化 显示英文标题

标题： Quantifying the Dynamics of Innovation Abandonment Across Scientific, Technological, Commercial, and Pharmacological Domains

摘要： 尽管有关创新扩散的文献非常丰富，影响了广泛的学科领域，但我们对创新被放弃的理解仍然有限，而这对更深入地理解创新生命周期至关重要。 在这里，我们分析了四个大规模数据集，这些数据集捕捉了科学、技术、商业和药理学领域中创新被放弃的时间和结构模式。 本文做出了三个主要贡献。 首先，在这些不同的领域中，我们发现了一种简单的优先放弃模式，即个人或组织放弃一项创新的概率随时间增加，并且与已经放弃该创新的网络邻居数量相关。 其次，我们发现优先放弃的存在从根本上改变了底层生态系统崩溃的方式，导致在网络系统中出现一种新颖的结构崩溃，这些系统通常被认为对放弃具有鲁棒性。 第三，我们推导出一个分析框架，以系统地理解优先放弃对网络动态的影响，指明了在特定条件下，它可能加速、减缓或与随机放弃产生相同效果，这取决于网络拓扑结构。 总的来说，这些结果加深了我们对网络化社会系统中创新被放弃的定量理解，对创新社区的鲁棒性和运行具有重要意义。 总体而言，它们表明创新被放弃的动力学遵循简单但可重复的模式，这表明所发现的优先放弃可能是创新生命周期的一个普遍特性。 显示英文摘要

摘要： Despite the vast literature on the diffusion of innovations that impacts a broad range of disciplines, our understanding of the abandonment of innovations remains limited yet is essential for a deeper understanding of the innovation lifecycle. Here, we analyze four large-scale datasets that capture the temporal and structural patterns of innovation abandonment across scientific, technological, commercial, and pharmacological domains. The paper makes three primary contributions. First, across these diverse domains, we uncover one simple pattern of preferential abandonment, whereby the probability for individuals or organizations to abandon an innovation increases with time and correlates with the number of network neighbors who have abandoned the innovation. Second, we find that the presence of preferential abandonment fundamentally alters the way in which the underlying ecosystem breaks down, inducing a novel structural collapse in networked systems commonly perceived as robust against abandonments. Third, we derive an analytical framework to systematically understand the impact of preferential abandonment on network dynamics, pinpointing specific conditions where it may accelerate, decelerate, or have an identical effect compared to random abandonment, depending on the network topology. Together, these results deepen our quantitative understanding of the abandonment of innovation within networked social systems, with implications for the robustness and functioning of innovation communities. Overall, they demonstrate that the dynamics of innovation abandonment follow simple yet reproducible patterns, suggesting that the uncovered preferential abandonment may be a generic property of the innovation lifecycle.