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IPPS
2009
IEEE
13 years 11 months ago
Information spreading in stationary Markovian evolving graphs
Andrea E. F. Clementi, Angelo Monti, Francesco Pas...
KDD
2012
ACM
164views Data Mining» more  KDD 2012»
11 years 7 months ago
SeqiBloc: mining multi-time spanning blockmodels in dynamic graphs
Blockmodelling is an important technique for decomposing graphs into sets of roles. Vertices playing the same role have similar patterns of interactions with vertices in other rol...
Jeffrey Chan, Wei Liu, Christopher Leckie, James B...
DKE
2007
130views more  DKE 2007»
13 years 4 months ago
Enabling access-privacy for random walk based data analysis applications
Random walk graph and Markov chain based models are used heavily in many data and system analysis domains, including web, bioinformatics, and queuing. These models enable the desc...
Ping Lin, K. Selçuk Candan
SDM
2007
SIAM
143views Data Mining» more  SDM 2007»
13 years 6 months ago
Patterns of Cascading Behavior in Large Blog Graphs
How do blogs cite and influence each other? How do such links evolve? Does the popularity of old blog posts drop exponentially with time? These are some of the questions that we ...
Jure Leskovec, Mary McGlohon, Christos Faloutsos, ...
KDD
2005
ACM
140views Data Mining» more  KDD 2005»
14 years 5 months ago
Graphs over time: densification laws, shrinking diameters and possible explanations
How do real graphs evolve over time? What are "normal" growth patterns in social, technological, and information networks? Many studies have discovered patterns in stati...
Jure Leskovec, Jon M. Kleinberg, Christos Faloutso...