444 search results - page 1 / 89 » A Graph Distance Based Structural Clustering Approach for Ne... |
AUSAI
2009
Springer
14 years 5 months ago
2009
Springer
In the era of information explosion, structured data emerge on a large scale. As a description of structured data, network has drawn attention of researchers in many subjects. Netw...
ICDM
2010
IEEE
13 years 8 months ago
2010
IEEE
In recent years, many networks have become available for analysis, including social networks, sensor networks, biological networks, etc. Graph clustering has shown its effectivenes...
CMOT
2004
13 years 10 months ago
2004
We describe a methodology to examine bipartite relational data structures as exemplified in networks of corporate interlocking. These structures can be represented as bipartite gr...
EDBT
2009
ACM
14 years 5 months ago
2009
ACM
Currently, a huge amount of biological data can be naturally represented by graphs, e.g., protein interaction networks, gene regulatory networks, etc. The need for indexing large ...
KDD
2004
ACM
14 years 4 months ago
2004
ACM
Many real-world graphs have been shown to be scale-free— vertex degrees follow power law distributions, vertices tend to cluster, and the average length of all shortest paths is...