activity
20062015
most citedSketch-based Influence Maximization and Computation: Scaling up with Guarantees

241 citations · 602 across the 6 of their papers we have counts for

collaborators

6 papers

cs.DS2015★ 6 cited

Public Transit Labeling

Daniel Delling, Julian Dibbelt, Thomas Pajor +1

We study the journey planning problem in public transit networks. Developing efficient preprocessing-based speedup techniques for this problem has been challenging: current approac…

cs.DS2015★ 97 cited

Route Planning in Transportation Networks

Hannah Bast, Daniel Delling, Andrew Goldberg +5

We survey recent advances in algorithms for route planning in transportation networks. For road networks, we show that one can compute driving directions in milliseconds or less ev…

cs.SI2014★ 12 cited

Distance-Based Influence in Networks: Computation and Maximization

Edith Cohen, Daniel Delling, Thomas Pajor +1

A premise at a heart of network analysis is that entities in a network derive utilities from their connections. The {\em influence} of a seed set of nodes is defined as the sum…

cs.DS2014★ 71 cited

Computing Classic Closeness Centrality, at Scale

Edith Cohen, Daniel Delling, Thomas Pajor +1

Closeness centrality, first considered by Bavelas (1948), is an importance measure of a node in a network which is based on the distances from the node to all other nodes. The clas…

cs.DS2014★ 241 cited

Sketch-based Influence Maximization and Computation: Scaling up with Guarantees

Edith Cohen, Daniel Delling, Thomas Pajor +1

Propagation of contagion through networks is a fundamental process. It is used to model the spread of information, influence, or a viral infection. Diffusion patterns can be specif…

physics.data-an2006★ 175 cited

Maximizing Modularity is hard

U. Brandes, D. Delling, M. Gaertler +4

Several algorithms have been proposed to compute partitions of networks into communities that score high on a graph clustering index called modularity. While publications on these…