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» Sampling Representative Users from Large Social Networks
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INFOCOM
2006
IEEE
14 years 1 months ago
Sampling Techniques for Large, Dynamic Graphs
— Peer-to-peer systems are becoming increasingly popular, with millions of simultaneous users and a wide range of applications. Understanding existing systems and devising new pe...
Daniel Stutzbach, Reza Rejaie, Nick G. Duffield, S...
ASUNAM
2009
IEEE
14 years 17 days ago
Mining the Dynamics of Music Preferences from a Social Networking Site
In this paper we present an application of our incremental graph clustering algorithm (DENGRAPH) on a data set obtained from the music community site Last.fm. The aim of our study...
Nico Schlitter, Tanja Falkowski
IUI
2011
ACM
12 years 10 months ago
Groups without tears: mining social topologies from email
As people accumulate hundreds of “friends” in social media, a flat list of connections becomes unmanageable. Interfaces agnostic to social structure hinder the nuanced sharin...
Diana MacLean, Sudheendra Hangal, Seng Keat Teh, M...
DEBU
2008
187views more  DEBU 2008»
13 years 7 months ago
Social SQL: Tools for Exploring Social Databases
Social media are constructed from the collective contributions of potentially millions of individuals and present an increasingly common and large scale form of database. As these...
Marc A. Smith, Vladimir Barash
EDBT
2009
ACM
156views Database» more  EDBT 2009»
14 years 3 days ago
Evaluating very large datalog queries on social networks
We consider a near future scenario in which users of a Web 2.0 application, such as a social network, contribute to the application not only data, but also rules which automatical...
Royi Ronen, Oded Shmueli