activity
20042014
most citedNumber and length of attractors in a critical Kauffman model with connectivity one

246 citations · 419 across the 10 of their papers we have counts for

collaborators

10 papers

physics.soc-ph2014

Modeling interacting dynamic networks: III. Extraordinary properties in a population of extreme introverts and extroverts

Wenjia Liu, Florian Greil, Kevin E. Bassler +2

Recently, we introduced dynamic networks with preferred degrees, showing that interesting properties are present in a single, homogeneous system as well as one with two interacting…

physics.ao-ph2012

A new method to identify water masses -- a network-based analysis of oceanographic point measurement time series

Florian Greil

This is a statistical analysis of the oceanographic time series measured across Fram Strait at a latitude of 78°50'N. Fram Strait is the deepest passage between the Arctic Ocean an…

q-bio.MN2011★ 3 cited

Prediction of lethal and synthetically lethal knock-outs in regulatory networks

Gunnar Boldhaus, Florian Greil, Konstantin Klemm

The complex interactions involved in regulation of a cell's function are captured by its interaction graph. More often than not, detailed knowledge about enhancing or suppressive r…

cond-mat.stat-mech2010★ 10 cited

Attractor and Basin Entropies of Random Boolean Networks Under Asynchronous Stochastic Update

Amer Shreim, Andrew Berdahl, Florian Greil +2

We introduce a numerical method to study random Boolean networks with asynchronous stochas- tic update. Each node in the network of states starts with equal occupation probability…

cond-mat.dis-nn2009★ 2 cited

Attractor period distribution for critical Boolean networks

Florian Greil, Kevin E. Bassler

Using analytic arguments, we show that dynamical attractor periods in large critical Boolean networks are power-law distributed. Our arguments are based on the method of relevant c…

cond-mat.dis-nn2009★ 17 cited

Critical Boolean networks with scale-free in-degree distribution

Barbara Drossel, Florian Greil

We investigate analytically and numerically the dynamical properties of critical Boolean networks with power-law in-degree distributions. When the exponent of the in-degree distrib…