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» Clustering on Complex Graphs
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WAW
2004
Springer
178views Algorithms» more  WAW 2004»
15 years 5 months ago
Communities Detection in Large Networks
We develop an algorithm to detect community structure in complex networks. The algorithm is based on spectral methods and takes into account weights and links orientations. Since t...
Andrea Capocci, Vito Domenico Pietro Servedio, Gui...
IPL
2010
115views more  IPL 2010»
14 years 10 months ago
Hardness and approximation of minimum distortion embeddings
We show that the problem of computing a minimum distortion embedding of a given graph into a path remains NP-hard when the input graph is restricted to a bipartite, cobipartite, o...
Pinar Heggernes, Daniel Meister
ESA
2001
Springer
105views Algorithms» more  ESA 2001»
15 years 4 months ago
On the Parameterized Complexity of Layered Graph Drawing
We consider graph drawings in which vertices are assigned to layers and edges are drawn as straight line-segments between vertices on adjacent layers. We prove that graphs admittin...
Vida Dujmovic, Michael R. Fellows, Michael T. Hall...
STACS
2010
Springer
15 years 3 months ago
The Complexity of the List Homomorphism Problem for Graphs
We completely characterise the computational complexity of the list homomorphism problem for graphs in combinatorial and algebraic terms: for every graph H the problem is either N...
László Egri, Andrei A. Krokhin, Beno...
PKDD
2010
Springer
235views Data Mining» more  PKDD 2010»
14 years 9 months ago
Online Structural Graph Clustering Using Frequent Subgraph Mining
The goal of graph clustering is to partition objects in a graph database into different clusters based on various criteria such as vertex connectivity, neighborhood similarity or t...
Madeleine Seeland, Tobias Girschick, Fabian Buchwa...