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Social Bootstrapping: How Pinterest and Last.fm Social Communities Benefit by Borrowing Links from Facebook

机译:社交引导:通过借用Facebook链接,Pinterest和Last.fm社交社区如何受益

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How does one develop a new online community that is highly engaging to each user and promotes social interaction? A number of websites offer friend-finding features that help users bootstrap social networks on the website by copying links from an established network like Facebook or Twitter. This paper quantifies the extent to which such social bootstrapping is effective in enhancing a social experience of the website. First, we develop a stylised analytical model that suggests that copying tends to produce a giant connected component (i.e., a connected community) quickly and preserves properties such as reciprocity and clustering, up to a linear multiplicative factor. Second, we use data from two websites, Pinterest and Last.fm, to empirically compare the subgraph of links copied from Facebook to links created natively. We find that the copied subgraph has a giant component, higher reciprocity and clustering, and confirm that the copied connections see higher social interactions. However, the need for copying diminishes as users become more active and influential. Such users tend to create links natively on the website, to users who are more similar to them than their Facebook friends. Our findings give new insights into understanding how bootstrapping from established social networks can help engage new users by enhancing social interactivity.
机译:如何开发一个新的在线社区,这些社区高度参与每个用户并促进社交互动?许多网站提供了朋友查找功能,可通过像Facebook或Twitter这样的建立网络复制链接,帮助用户在网站上引导社交网络。本文量化了这种社会自动启动在提高网站社会体验方面有效的程度。首先,我们开发了一种程式化的分析模型,表明复制倾向于快速生成巨型连接的组件(即,连接的社区),并保留诸如互惠和聚类的属性,直到线性乘法因子。其次,我们使用来自两个网站,pinterest和last.fm的数据,以便将从Facebook复制的链路的子图与本身创建的链接进行比较。我们发现复制的子图具有巨大的组件,更高的互惠和群集,并确认复制的连接看到更高的社交交互。但是,随着用户变得更加活跃和有影响力,复制的需要减少。这些用户倾向于在网站上本地创建链接,到与他们更类似于他们的用户而不是他们的Facebook好友。我们的调查结果为了解了解既定社交网络的自行启动如何通过增强社交交互来帮助新用户来实现新的洞察。

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