activity
20022010
most citedStructure and tie strengths in mobile communication networks

2k citations · 3.7k across the 21 of their papers we have counts for

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Showing 2008Show all

6 papers · 1 filter

physics.soc-ph200834 cited

Broad lifetime distributions for ordering dynamics in complex networks

R. Toivonen, X. Castelló, V. M. Eguíluz +3

We search for conditions under which a characteristic time scale for ordering dynamics towards either of two absorbing states in a finite complex network of interactions does not e…

physics.soc-ph200832 cited

Maximal spanning trees, asset graphs and random matrix denoising in the analysis of dynamics of financial networks

Tapio Heimo, Kimmo Kaski, Jari Saramaki

We study the time dependence of maximal spanning trees and asset graphs based on correlation matrices of stock returns. In these networks the nodes represent companies and links ar…

physics.bio-ph200850 cited

Critical evaluation of the computational methods used in the forced polymer translocation

V. V. Lehtola, R. P. Linna, K. Kaski

In forced polymer translocation, the average translocation time, , scales with respect to pore force, , and polymer length, , as . We demonstrate that an…

physics.soc-ph2008233 cited

A sequential algorithm for fast clique percolation

Jussi M. Kumpula, Mikko Kivela, Kimmo Kaski +1

In complex network research clique percolation, introduced by Palla et al., is a deterministic community detection method, which allows for overlapping communities and is purely ba…

physics.soc-ph2008

A comparative study of social network models: network evolution models and nodal attribute models

Riitta Toivonen, Lauri Kovanen, Mikko Kivelä +3

This paper reviews, classifies and compares recent models for social networks that have mainly been published within the physics-oriented complex networks literature. The models fa…

physics.soc-ph200825 cited

Detecting modules in dense weighted networks with the Potts method

Tapio Heimo, Jussi Kumpula, Kimmo Kaski +1

We address the problem of multiresolution module detection in dense weighted networks, where the modular structure is encoded in the weights rather than topology. We discuss a weig…