Measurement and analysis of online social networks
A Mislove, M Marcon, KP Gummadi… - Proceedings of the 7th …, 2007 - dl.acm.org
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement, 2007•dl.acm.org
Online social networking sites like Orkut, YouTube, and Flickr are among the most popular
sites on the Internet. Users of these sites form a social network, which provides a powerful
means of sharing, organizing, and finding content and contacts. The popularity of these sites
provides an opportunity to study the characteristics of online social network graphs at large
scale. Understanding these graphs is important, both to improve current systems and to
design new applications of online social networks. This paper presents a large-scale …
sites on the Internet. Users of these sites form a social network, which provides a powerful
means of sharing, organizing, and finding content and contacts. The popularity of these sites
provides an opportunity to study the characteristics of online social network graphs at large
scale. Understanding these graphs is important, both to improve current systems and to
design new applications of online social networks. This paper presents a large-scale …
Online social networking sites like Orkut, YouTube, and Flickr are among the most popular sites on the Internet. Users of these sites form a social network, which provides a powerful means of sharing, organizing, and finding content and contacts. The popularity of these sites provides an opportunity to study the characteristics of online social network graphs at large scale. Understanding these graphs is important, both to improve current systems and to design new applications of online social networks.
This paper presents a large-scale measurement study and analysis of the structure of multiple online social networks. We examine data gathered from four popular online social networks: Flickr, YouTube, LiveJournal, and Orkut. We crawled the publicly accessible user links on each site, obtaining a large portion of each social network's graph. Our data set contains over 11.3 million users and 328 million links. We believe that this is the first study to examine multiple online social networks at scale.
Our results confirm the power-law, small-world, and scale-free properties of online social networks. We observe that the indegree of user nodes tends to match the outdegree; that the networks contain a densely connected core of high-degree nodes; and that this core links small groups of strongly clustered, low-degree nodes at the fringes of the network. Finally, we discuss the implications of these structural properties for the design of social network based systems.