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KDD
2008
ACM
147views Data Mining» more  KDD 2008»
14 years 9 months ago
Mobile call graphs: beyond power-law and lognormal distributions
We analyze a massive social network, gathered from the records of a large mobile phone operator, with more than a million users and tens of millions of calls. We examine the distr...
Mukund Seshadri, Sridhar Machiraju, Ashwin Sridhar...
JUCS
2008
142views more  JUCS 2008»
13 years 8 months ago
Analyzing Wiki-based Networks to Improve Knowledge Processes in Organizations
: Increasingly wikis are used to support existing corporate knowledge exchange processes. They are an appropriate software solution to support knowledge processes. However, it is n...
Claudia Müller, Benedikt Meuthrath, Anne Baum...
SDM
2009
SIAM
162views Data Mining» more  SDM 2009»
14 years 5 months ago
Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction.
We propose Link Propagation as a new semi-supervised learning method for link prediction problems, where the task is to predict unknown parts of the network structure by using aux...
Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanish...
PAKDD
2010
ACM
175views Data Mining» more  PAKDD 2010»
14 years 20 days ago
EigenSpokes: Surprising Patterns and Scalable Community Chipping in Large Graphs
Abstract. We report a surprising, persistent pattern in large sparse social graphs, which we term EigenSpokes. We focus on large Mobile Call graphs, spanning about 186K nodes and m...
B. Aditya Prakash, Ashwin Sridharan, Mukund Seshad...
CPHYSICS
2006
124views more  CPHYSICS 2006»
13 years 8 months ago
Collision-free spatial hash functions for structural analysis of billion-vertex chemical bond networks
State-of-the-art molecular dynamics (MD) simulations generate massive datasets involving billion-vertex chemical bond networks, which makes data mining based on graph algorithms s...
Cheng Zhang, Bhupesh Bansal, Paulo S. Branicio, Ra...