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» Mining Billion-Node Graphs: Patterns, Generators and Tools
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WEBDB
2004
Springer
191views Database» more  WEBDB 2004»
13 years 10 months ago
Visualizing and Discovering Web Navigational Patterns
Web site structures are complex to analyze. Cross-referencing the web structure with navigational behaviour adds to the complexity of the analysis. However, this convoluted analys...
Jiyang Chen, Lisheng Sun, Osmar R. Zaïane, Ra...
ICDM
2008
IEEE
117views Data Mining» more  ICDM 2008»
13 years 11 months ago
RTM: Laws and a Recursive Generator for Weighted Time-Evolving Graphs
How do real, weighted graphs change over time? What patterns, if any, do they obey? Earlier studies focus on unweighted graphs, and, with few exceptions, they focus on static snap...
Leman Akoglu, Mary McGlohon, Christos Faloutsos
SDM
2009
SIAM
138views Data Mining» more  SDM 2009»
14 years 2 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...
IJMMS
2007
166views more  IJMMS 2007»
13 years 4 months ago
Visualization of large networks with min-cut plots, A-plots and R-MAT
What does a ‘normal’ computer (or social) network look like? How can we spot ‘abnormal’ sub-networks in the Internet, or web graph? The answer to such questions is vital f...
Deepayan Chakrabarti, Christos Faloutsos, Yiping Z...