Titlebook: Complex Networks; Results of the 1st I Santo Fortunato,Giuseppe Mangioni,Vincenzo Nicosia Book 2009 Springer-Verlag Berlin Heidelberg 2009

過剩

Ethics

Chemical Stability of Drug Substances,y they reflect a historical bias during this evolution that goes beyond the simple degree constraint of preference edge attachment. Fixing certain simple statical quantities during the genesis leads to families of random graphs with a clustering coefficient that can be bounded away from zero.

主動脈

Stability of Drugs and Dosage Formspling. Maximum likelihood decision theory is then applied over the reduced measurement space in order to identify the best models. The results corroborate that the currently proposed model allows the best adherence, among all the other considered models, to the original US highway network.

constellation

Correlation Patterns in Gene Expressions along the Cell Cycle of Yeastysis of the correlation matrix and the eigenvector localization on the graph. The topologically distinct groups of genes which are co-expressed within a given phase of the cell cycle belong to different functional categories but often share the same localization, i.e., nucleus, cytoplasm, or mitochondria, inside the cell.

江湖郎中

Generalized Attachment Models for the Genesis of Graphs with High Clustering Coefficienty they reflect a historical bias during this evolution that goes beyond the simple degree constraint of preference edge attachment. Fixing certain simple statical quantities during the genesis leads to families of random graphs with a clustering coefficient that can be bounded away from zero.

Magnitude

Modeling Highway Networks with Path-Geographical Transformationspling. Maximum likelihood decision theory is then applied over the reduced measurement space in order to identify the best models. The results corroborate that the currently proposed model allows the best adherence, among all the other considered models, to the original US highway network.

蜿蜒而流

厭惡

Stability of Axially Moving Plates,his approach has the potential to convert any disjoint community detection algorithm into an overlapping community detection algorithm. Our experiments, using several “disjoint” algorithms, demonstrate that the method works, producing solutions, and execution times, that are often better than those produced by specialized “overlapping” algorithms.

Ventilator

Spherical Systems with Rotation,de the same level of reliability, measure by modularity, while takes much shorter time than the well-known fast algorithm proposed by Clauset, Newman and Moore (CNM). We further propose a hybrid algorithm that can simultaneously enhance modularity and save computational time compared with the CNM algorithm.

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