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» Sampling from large graphs
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121
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CCS
2008
ACM
15 years 4 months ago
A general model of probabilistic packet marking for IP traceback
In this paper, we model Probabilistic Packet Marking (PPM) schemes for IP traceback as an identification problem of a large number of markers. Each potential marker is associated ...
Liming Lu, Mun Choon Chan, Ee-Chien Chang
132
Voted
WWW
2007
ACM
16 years 3 months ago
SPARQ2L: towards support for subgraph extraction queries in rdf databases
Many applications in analytical domains often have the need to "connect the dots" i.e., query about the structure of data. In bioinformatics for example, it is typical t...
Kemafor Anyanwu, Angela Maduko, Amit P. Sheth
SIGCOMM
2009
ACM
15 years 9 months ago
Temporal distance metrics for social network analysis
The analysis of social and technological networks has attracted a lot of attention as social networking applications and mobile sensing devices have given us a wealth of real data...
John Tang, Mirco Musolesi, Cecilia Mascolo, Vito L...
121
Voted
CGF
2008
151views more  CGF 2008»
15 years 2 months ago
Navigation and Exploration of Interconnected Pathways
Visualizing pathways, i. e. models of cellular functional networks, is a challenging task in computer assisted biomedicine. Pathways are represented as large collections of interw...
Marc Streit, Michael Kalkusch, Karl Kashofer, Diet...
RSA
2010
107views more  RSA 2010»
15 years 1 months ago
Continuum limits for classical sequential growth models
A random graph order, also known as a transitive percolation process, is defined by taking a random graph on the vertex set {0, . . . , n − 1}, and putting i below j if there i...
Graham Brightwell, Nicholas Georgiou