FG Empirische Netzwerke und Neurodynamik

8 Items

Recent Submissions
An Epidemiological and Economic Simulation Model to Evaluate Strategies for the Control of Bovine Virus Diarrhea in Germany

Gethmann, Jörn ; Probst, Carolina ; Bassett, Jason ; Blunk, Pascal ; Hövel, Philipp ; Conraths, Franz J. (2019-11-19)

Models can be used to plan, evaluate, and improve programs for animal disease control. In Germany, a nationwide compulsory program to eradicate Bovine viral diarrhea (BVD) is in force since January 2011. As it is associated with substantial expenditures, the program is currently under revision. To provide the basis for a science-based decision on the future course of BVD control in Germany, we ...

Synchronization Patterns in Modular Neuronal Networks: A Case Study of C. elegans

Pournaki, Armin ; Merfort, Leon ; Ruiz, Jorge ; Kouvaris, Nikos E. ; Hövel, Philipp ; Hizanidis, Johanne (2019-10-24)

We investigate synchronization patterns and chimera-like states in the modular multilayer topology of the connectome of Caenorhabditis elegans. In the special case of a designed network with two layers, one with electrical intra-community links and one with chemical inter-community links, chimera-like states are known to exist. Aiming at a more biological approach based on the actual connectivi...

Risk of Coinfection Outbreaks in Temporal Networks: A Case Study of a Hospital Contact Network

Rodríguez, Jorge P. ; Ghanbarnejad, Fakhteh ; Eguíluz, Víctor M. (2017-10-06)

We study the spreading of cooperative infections in an empirical temporal network of contacts between people, including health care workers and patients, in a hospital. The system exhibits a phase transition leading to one or several endemic branches, depending on the connectivity pattern and the temporal correlations. There are two endemic branches in the original setting and the non-cooperati...

Modelling epidemics on networks with static and time-varying topologies

Koher, Andreas (2019)

We aim to develop epidemiological models that describe and predict the evolution of infectious diseases. To this end, we integrate mobility data, represented by networks with static and time-varying topologies. As a central result of this work, we present three disease models that facilitate an efficient analysis of complex epidemiological problems. First, in the context of global epidemics, w...

Characterizing Complex Networks Using Entropy-Degree Diagrams: Unveiling Changes in Functional Brain Connectivity Induced by Ayahuasca

Viol, Aline ; Palhano-Fontes, Fernanda ; Onias, Heloisa ; de Araujo, Draulio B. ; Hövel, Philipp ; Viswanathan, Gandhi M. (2019-01-30)

With the aim of further advancing the understanding of the human brain’s functional connectivity, we propose a network metric which we term the geodesic entropy. This metric quantifies the Shannon entropy of the distance distribution to a specific node from all other nodes. It allows to characterize the influence exerted on a specific node considering statistics of the overall network structure...

Dynamics of collective attention

Lorenz-Spreen, Philipp Gert Josef (2019)

This dissertation aims to capture and understand the macroscopic ebbs and flows of public interest and popular topics. Operationalized as e.g. usage volume of hashtags, movie ticket sales or the counts of comments on online forums, we measure the dynamics of `public attention' for various cultural items in large online data sets. These trajectories of public attention became accessible since th...

Computational and analytical approaches towards epidemic spread containment of temporal animal trade networks

Bassett, George Jason (2019)

In this thesis a threefold approach to assess the risk of epidemic spread on animal trade networks and pinpoint strategies to contain it is presented. Firstly, an exhaustive description of a stochastic, event-driven, hierarchical agent-based model designed to reproduce the infectious state of the cattle disease called Bovine Viral Diarrhea (BVD) on the German trade network is outlined. It takes...

Multi-chimera States in the Leaky Integrate-and-Fire Model

Tsigkri-DeSmedt, N.D. ; Hizanidis, J. ; Hövel, Philipp ; Provata, A. (2015)

We study the dynamics of identical leaky integrate-and-fire neurons with symmetric non-local coupling. Upon varying control parameters (coupling strength, coupling range, refractory period) we investigate the system's behaviour and highlight the formation of chimera states. We show that the introduction of a refractory period enlarges the parameter region where chimera states appear and affects...