—We introduce a novel set of social network analysis based algorithms for mining the Web, blogs, and online forums to identify trends and find the people launching these new tren...
Peter A. Gloor, Jonas Krauss, Stefan Nann, Kai Fis...
Nowadays, we witness a surge of online profiling sites; in them people make their profile available to others with the intention to share it and get in touch with others, find old ...
Adriana J. Berlanga, Marlies Bitter-Rijpkema, Fran...
Web-based communities have become important places for people to seek and share expertise. We find that networks in these communities typically differ in their topology from other...
This study examines the publically available stories of selfidentified successful couples that met using the online dating services Match.com, eHarmony, or OkCupid. We enumerate f...
Christopher M. Mascaro, Rachel M. Magee, Sean P. G...
This paper addresses the issue of extraction of an academic researcher social network. By researcher social network extraction, we are aimed at finding, extracting, and fusing the...