Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Measurement and analysis of online social networks

Measurement and analysis of online social networks Measurement and Analysis of Online Social Networks MPI for Software Systems Campus E1 4 Saarbr cken 66123, Germany Alan Mislove MPI for Software Systems Campus E1 4 Saarbr cken 66123, Germany Massimiliano Marcon MPI for Software Systems Campus E1 4 Saarbr cken 66123, Germany Krishna P. Gummadi MPI for Software Systems Campus E1 4 Saarbr cken 66123, Germany Peter Druschel Computer Science Department University of Maryland College Park, MD 20742 Bobby Bhattacharjee ABSTRACT 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 nding 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 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Measurement and analysis of online social networks

Association for Computing Machinery — Oct 24, 2007

Loading next page...
/lp/association-for-computing-machinery/measurement-and-analysis-of-online-social-networks-Iu0BXSeiHv

References (51)

Datasource
Association for Computing Machinery
Copyright
Copyright © 2007 by ACM Inc.
ISBN
978-1-59593-908-1
doi
10.1145/1298306.1298311
Publisher site
See Article on Publisher Site

Abstract

Measurement and Analysis of Online Social Networks MPI for Software Systems Campus E1 4 Saarbr cken 66123, Germany Alan Mislove MPI for Software Systems Campus E1 4 Saarbr cken 66123, Germany Massimiliano Marcon MPI for Software Systems Campus E1 4 Saarbr cken 66123, Germany Krishna P. Gummadi MPI for Software Systems Campus E1 4 Saarbr cken 66123, Germany Peter Druschel Computer Science Department University of Maryland College Park, MD 20742 Bobby Bhattacharjee ABSTRACT 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 nding 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

There are no references for this article.