网络本地化强度以宏观层面的社会影响力调节创新扩散
Network localization strength regulates innovation diffusion with macro-level social influence
摘要：
创新在网络人口中的扩散是推动人类社会进步的重要过程。尽管最近在网络科学的进步，一个基本的理解，调节这些过程的网络属性仍然缺乏。研究了一个具有两两传递和宏观社会影响的创新扩散模型，网络种群中更多的采纳者会导致剩余个体中更高的采纳倾向，当影响足够强时，我们观察到不连续的相变。通过对大量经验网络语料库的广泛分析，我们发现三临界点取决于网络本地化强度，我们新提出的度量可以有效地量化。该指标揭示了临界点和三临界点之间的深层联系，并进一步表明了一种权衡：允许吸引力较低的产品占主导地位的网络往往会产生较慢的扩散和较低的市场渗透率，反之亦然。在这种权衡的指导下，我们展示了营销人员如何根据他们的需求重新连接网络来调节产品扩散。
英文摘要：
Innovation diffusion in the networked population is an essential process that drives the progress of human society. Despite the recent advances in network science, a fundamental understanding of network properties that regulate such processes is still lacking. Focusing on an innovation diffusion model with pairwise transmission and macro-level social influence, i.e., more adopters in the networked population lead to a higher adoption tendency among the remaining individuals, we observe discontinuous phase transitions when the influence is sufficiently strong. Through extensive analyses of a large corpus of empirical networks, we show that the tricritical point depends on the network localization strength, which our newly proposed metric can effectively quantify. The metric reveals the deep connection between the critical and tricritical points and further indicates a trade-off: networks that allow less attractive products to prevail tend to yield slower diffusion and lower market penetration and verse versa. Guided by this trade-off, we demonstrate how marketers can rewire the networks to modulate product diffusion according to their needs.
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。
