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ICDM
2007
IEEE
175views Data Mining» more  ICDM 2007»
16 years 29 days ago
gApprox: Mining Frequent Approximate Patterns from a Massive Network
Recently, there arise a large number of graphs with massive sizes and complex structures in many new applications, such as biological networks, social networks, and the Web, deman...
Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han
ISI
2004
Springer
16 years 13 hour ago
Analyzing and Visualizing Criminal Network Dynamics: A Case Study
Dynamic criminal network analysis is important for national security but also very challenging. However, little research has been done in this area. In this paper we propose to use...
Jennifer Jie Xu, Byron Marshall, Siddharth Kaza, H...
PRIMA
2009
Springer
15 years 11 months ago
Participatory Simulation Environment gumonji/Q: A Network Game Empowered by Agents
Abstract. Network games are attracting attention as simulation platforms for social experiments because of their rich visualization performance and scalability. Our objective in th...
Shohei Yamane, Shoichi Sawada, Hiromitsu Hattori, ...
ALENEX
2010
143views Algorithms» more  ALENEX 2010»
15 years 8 months ago
Navigation in Real-World Complex Networks through Embedding in Latent Spaces
Small-world experiments in which packages reach addressees unknown to the original sender through a forwarding chain confirm that acquaintance networks have short paths, a propert...
Xiaomeng Ban, Jie Gao, Arnout van de Rijt
APVIS
2006
15 years 8 months ago
Visual analysis of network centralities
Centrality analysis determines the importance of vertices in a network based on their connectivity within the network structure. It is a widely used technique to analyse network-s...
Tim Dwyer, Seok-Hee Hong, Dirk Koschützki, Fa...