Larson Jennifer M
New York University, Department of Politics, 19 W. 4th St., New York, 10012 NY USA.
Appl Netw Sci. 2017;2(1):14. doi: 10.1007/s41109-017-0034-3. Epub 2017 Jun 19.
Weak ties are thought to facilitate the diffusion of information through social networks because of their tendency to span otherwise distant subgroups. However, this logic assumes that weak relationships have the same capacity to transmit information as those that are strong. I argue that weak ties, especially the kind that span subgroups, are often also lower-capacity. Due to a lack of trust, an unwillingness to share benefits, or a limited ability to understand one another, an individual is less likely to share novel information across these ties. In standard models of diffusion imported from epidemiology, even reduced-capacity links would still aid diffusion. However, accounting for reduced capacity in a new model of diffusion that captures realistic features of information sharing in human groups, I demonstrate that hesitation to share across weak links substantially impedes overall diffusion. Moreover, I show that the addition of weak ties to a social network can strictly reduce the extent and speed of information diffusion. Increasing density by adding weak ties can make diffusion strictly worse by crowding out the use of higher-capacity ties. I present the results of simulated information diffusion on both hypothetical networks generated to possess varying levels of density and homophily, as well as on real social networks in two Ugandan villages shown to be responsible for face-to-face information sharing.
弱关系被认为有助于信息在社交网络中传播,因为它们往往跨越原本距离较远的子群体。然而,这种逻辑假定弱关系与强关系具有相同的信息传播能力。我认为,弱关系,尤其是跨越子群体的那种,其传播能力通常也较低。由于缺乏信任、不愿分享利益或相互理解能力有限,个体不太可能通过这些关系分享新颖信息。在从流行病学引入的标准传播模型中,即使传播能力降低的连接仍会有助于传播。然而,在一个捕捉人类群体信息共享现实特征的新传播模型中考虑到传播能力降低的情况后,我证明了在弱连接上分享信息的犹豫会严重阻碍整体传播。此外,我表明在社交网络中添加弱关系会严格降低信息传播的范围和速度。通过添加弱关系来增加网络密度可能会排挤使用传播能力更高的连接,从而使传播变得更糟。我展示了在为具有不同密度和同质性水平而生成的假设网络上,以及在乌干达两个被证明负责面对面信息共享的村庄的真实社交网络上进行的模拟信息传播结果。