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» Reaching Consensus on Social Networks
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WWW
2007
ACM
14 years 11 months ago
Information flow modeling based on diffusion rate for prediction and ranking
Information flows in a network where individuals influence each other. The diffusion rate captures how efficiently the information can diffuse among the users in the network. We p...
Xiaodan Song, Yun Chi, Koji Hino, Belle L. Tseng
DBKDA
2010
IEEE
127views Database» more  DBKDA 2010»
13 years 9 months ago
Failure-Tolerant Transaction Routing at Large Scale
—Emerging Web2.0 applications such as virtual worlds or social networking websites strongly differ from usual OLTP applications. First, the transactions are encapsulated in an AP...
Idrissa Sarr, Hubert Naacke, Stéphane Gan&c...
MM
2009
ACM
147views Multimedia» more  MM 2009»
14 years 3 months ago
Wearing a YouTube hat: directors, comedians, gurus, and user aggregated behavior
While existing studies on YouTube’s massive user-generated video content have mostly focused on the analysis of videos, their characteristics, and network properties, little att...
Joan-Isaac Biel, Daniel Gatica-Perez
SAGT
2010
Springer
186views Game Theory» more  SAGT 2010»
13 years 8 months ago
On the Efficiency of Markets with Two-Sided Proportional Allocation Mechanisms
We analyze the performance of single-parameter mechanisms for markets in which there is competition amongst both consumers and suppliers (namely, two-sided markets). Specifically, ...
Volodymyr Kuleshov, Adrian Vetta
SDM
2009
SIAM
138views Data Mining» more  SDM 2009»
14 years 8 months ago
ShatterPlots: Fast Tools for Mining Large Graphs.
Graphs appear in several settings, like social networks, recommendation systems, computer communication networks, gene/protein biological networks, among others. A deep, recurring...
Ana Paula Appel, Andrew Tomkins, Christos Faloutso...