Social Bootstrapping: How Pinterest and Last.fm Social Communities Benefit by Borrowing Links from Facebook
Changtao Zhong, Mostafa Salehi, Sunil Shah, Marius Cobzarenco, and Nishanth Sastry, Meeyoung Cha

TL;DR
This paper investigates how copying social links from Facebook to new platforms like Pinterest and Last.fm helps build engaging communities, showing that such copying fosters connectivity, reciprocity, and interaction, especially among less active users.
Contribution
It provides an analytical model and empirical analysis demonstrating the effectiveness of social bootstrapping in creating connected, interactive online communities.
Findings
Copied links form a giant connected component with high reciprocity and clustering
Copied subgraphs exhibit higher social interactions than native links
Active and influential users tend to create native links with similar users
Abstract
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…
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Taxonomy
TopicsComplex Network Analysis Techniques · Opinion Dynamics and Social Influence · Digital Marketing and Social Media
