网络和身份驱动语言创新扩散的地理特性
Networks and Identity Drive Geographic Properties of the Diffusion of Linguistic Innovation
摘要：
采用文化创新（例如，音乐、信仰、语言）往往在地理上是相关的，采用者大多居住在相对较少的、经过充分研究的、具有社会意义的地区。这些文化区域通常被假设为（i）身份表现推动文化创新的采用，或（ii）在网络基础扩散中的同质性的结果。在这项研究中，我们表明，人口特征和网络拓扑结构都需要模拟创新的扩散，因为它们在产生其空间属性中发挥互补作用。我们开发了一个基于代理的文化采用模型，并验证我们的模型中的地理传播模式对创新的话，我们从10%的Twitter样本中识别的一个新的数据集。使用我们的模型，我们能够直接将网络+身份的组合扩散模型与模拟的仅网络和仅身份的反事实进行比较-使我们能够测试网络和身份的单独和组合角色。虽然社会科学家经常将网络或身份作为建模文化变化的核心社会结构，但我们发现，扩散的关键地理特性实际上取决于这两个因素，因为每个因素都会影响不同的扩散机制。具体而言，网络主要通过弱联系扩散驱动城市县之间的传播，而身份通过强联系扩散在农村县之间的传播中发挥了不成比例的作用。城市和农村地区之间的传播是创新在全国范围内传播的一个关键组成部分，需要网络和身份。我们的工作表明，模型必须整合这两个因素，以理解和再现创新的采用。
英文摘要：
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 often hypothesized to be the result of either (i) identity performance driving the adoption of cultural innovation, or (ii) homophily in the networks underlying diffusion. In this study, we show that demographic identity and network topology are both required to model the diffusion of innovation, as they play complementary roles in producing its spatial properties. We develop an agent-based model of cultural adoption, and validate geographic patterns of transmission in our model against a novel dataset of innovative words that we identify from a 10% sample of Twitter. Using our model, we are able to directly compare a combined network + identity model of diffusion to simulated network-only and identity-only counterfactuals -- allowing us to test the separate and combined roles of network and identity. While social scientists often treat either network or identity as the core social structure in modeling culture change, we show that key geographic properties of diffusion actually depend on both factors as each one influences different mechanisms of diffusion. Specifically, the network principally drives spread among urban counties via weak-tie diffusion, while identity plays a disproportionate role in transmission among rural counties via strong-tie diffusion. Diffusion between urban and rural areas, a key component in innovation diffusing nationally, requires both network and identity. Our work suggests that models must integrate both factors in order to understand and reproduce the adoption of innovation.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
