Given a huge online social network, how do we retrieve information from it through crawling? Even better, how do we improve the crawling performance by using parallel crawlers tha...
Duen Horng Chau, Shashank Pandit, Samuel Wang, Chr...
—Extensive research has been conducted on top of online social networks (OSNs), while little attention has been paid to the data collection process. Due to the large scale of OSN...
Understanding how users behave when they connect to social networking sites creates opportunities for better interface design, richer studies of social interactions, and improved ...
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 power...
Alan Mislove, Massimiliano Marcon, P. Krishna Gumm...
In this work, we investigate the use of online or “crawling” algorithms to sample large social networks in order to determine the most influential or important individuals wit...