The Name-Letter Effect states that people have a preference for brands, places, and even jobs that start with the same letter as their own first name. So Sam might like Snickers and live in Seattle. We use social network data from Twitter and Google+ to replicate this effect in a new environment. We find limited to no support for the Name-Letter Effect on social networks. We do, however, find a very robust Same-Name Effect where, say, Michaels would be more likely to link to other Michaels than Johns. This effect persists when accounting for gender, nationality, race, and age. The fundamentals behind these effects have implications beyond psychology as understanding how a positive self-image is transferred to other entities is important in domains ranging from studying homophily to personalized advertising and to link formation in social networks.
翻译:名称- 地址效应指出, 人们偏好品牌、 地点甚至工作, 首先是他们自己的名字。 所以萨姆可能喜欢Snickers 并住在西雅图。 我们使用Twitter 和 Google+ 的社会网络数据在新的环境中复制这种效果。 我们发现对名称- 地址效应对社交网络的支持有限。 但是, 我们确实发现一个非常强大的同名效应, 比如, Michaels 更有可能与其他人连接, 而不是约翰斯。 当性别、 国籍、 种族和年龄统计时, 这种效应会持续。 这些效应背后的基本要素的影响超越了心理学的范畴, 因为了解正面自我形象是如何被转移到其他实体的, 在从同质研究到个性化广告和社交网络中形成联系的各个领域都很重要 。