Beschreibung
InhaltsangabeAsymmetric Distribution of Nodes in the Spatial Preferred Attachment Model.- A Spatial Preferential Attachment Model with Local Clustering.- A Local Clustering Algorithm for Connection.- On the Power of Adversarial Infections in Networks.- On the Choice of Kernel and Labelled Data in Semi-supervised Learning Methods.- A Nearly-Sublinear Method for Approximating a Column of the Matrix Exponential for Matrices from Large, Sparse Networks.- Evolution of the Media Web.- Random Intersection Graph Process.- Alpha Current Flow Betweenness Centrality.- Tree Nash Equilibria in the Network Creation Game.- Fast Low-Cost Estimation of Network Properties Using Random Walks.- An Lp Norm Relaxation Approach to Positive Influence Maximization in Social Network under the Deterministic Linear Threshold Model.- Fast Algorithms for the Maximum Clique Problem on Massive Sparse.- A Faster Algorithm to Update Betweenness Centrality after Node Alteration.- Generalized Preferential Attachment: Tunable Power-Law Degree Distribution and Clustering Coefficient.- Solving Linear Systems with Boundary Conditions Using Heat Kernel Pagerank.- Anarchy Is Free in Network Creation.
Herstellerkennzeichnung:
Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE
E-Mail: juergen.hartmann@springer.com
