activity
20062008
most citedA sequential algorithm for fast clique percolation

233 citations · 680 across the 5 of their papers we have counts for

collaborators

5 papers

physics.soc-ph2008★ 233 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★ 25 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…

physics.soc-ph2007★ 223 cited

Emergence of communities in weighted networks

J. M. Kumpula, J. -P. Onnela, J. Saramaki +2

Topology and weights are closely related in weighted complex networks and this is reflected in their modular structure. We present a simple network model where the weights are gene…

physics.soc-ph2007★ 9 cited

Limited resolution and multiresolution methods in complex network community detection

J. M. Kumpula, J. Saramaki, K. Kaski +1

Detecting community structure in real-world networks is a challenging problem. Recently, it has been shown that the resolution of methods based on optimizing a modularity measure o…

cond-mat.dis-nn2006★ 190 cited

Limited resolution in complex network community detection with Potts model approach

Jussi M. Kumpula, Jari Saramaki, Kimmo Kaski +1

According to Fortunato and Barthelemy, modularity-based community detection algorithms have a resolution threshold such that small communities in a large network are invisible. Her…