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WSDM
2010
ACM
214views Data Mining» more  WSDM 2010»
16 years 4 months ago
You are who you know: Inferring user profiles in Online Social Networks
Online social networks are now a popular way for users to connect, express themselves, and share content. Users in today's online social networks often post a profile, consis...
Alan Mislove, Bimal Viswanath, P. Krishna Gummadi,...
P2P
2008
IEEE
102views Communications» more  P2P 2008»
16 years 1 months ago
Free-Riding, Fairness, and Firewalls in P2P File-Sharing
Peer-to-peer file-sharing networks depend on peers uploading data to each other. Some peers, called free-riders, will not upload data unless there is an incentive to do so. Algor...
Jacob Jan-David Mol, Johan A. Pouwelse, Dick H. J....
CHI
2009
ACM
15 years 11 months ago
StoryBank: mobile digital storytelling in a development context
Mobile imaging and digital storytelling currently support a growing practice of multimedia communication in the West. In this paper we describe a project which explores their bene...
David M. Frohlich, Dorothy Rachovides, Kiriaki Rig...
173
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DIGITALCITIES
2001
Springer
15 years 11 months ago
Little Boxes, Glocalization, and Networked Individualism
Much thinking about digital cities is in terms of community groups. Yet, the world is composed of social networks and not of groups. This paper traces how communities have changed ...
Barry Wellman
SIGIR
2010
ACM
15 years 10 months ago
Uncovering social spammers: social honeypots + machine learning
Web-based social systems enable new community-based opportunities for participants to engage, share, and interact. This community value and related services like search and advert...
Kyumin Lee, James Caverlee, Steve Webb