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TVCG
2008
95views more  TVCG 2008»
15 years 6 months ago
Improving the Readability of Clustered Social Networks using Node Duplication
Exploring communities is an important task in social network analysis. Such communities are currently identified using clustering methods to group actors. This approach often leads...
Nathalie Henry, Anastasia Bezerianos, Jean-Daniel ...
GECCO
2004
Springer
155views Optimization» more  GECCO 2004»
15 years 11 months ago
Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
VIZSEC
2007
Springer
16 years 12 days ago
An Interactive Attack Graph Cascade and Reachability Display
Abstract Attack graphs for large enterprise networks improve security by revealing critical paths used by adversaries to capture network assets. Even with simplification, current a...
Leevar Williams, Richard Lippmann, Kyle Ingols
IV
2005
IEEE
81views Visualization» more  IV 2005»
15 years 12 months ago
A New Force-Directed Graph Drawing Method Based on Edge-Edge Repulsion
The conventional force-directed methods for drawing undirected graphs are based on either vertex-vertex repulsion or vertex-edge repulsion. In this paper, we propose a new force-d...
Chun-Cheng Lin, Hsu-Chun Yen
VIS
2005
IEEE
122views Visualization» more  VIS 2005»
16 years 7 months ago
Effectively Visualizing Large Networks Through Sampling
We study the problem of visualizing large networks and develop es for effectively abstracting a network and reducing the size to a level that can be clearly viewed. Our size reduc...
Davood Rafiei, Stephen Curial