Publications related to Katz centrality

Diffusion of energy technologies: the role and dynamics of supply-side information networks

Claudia Rebeca Binder Signer, Romano Tobias Wyss, Gloria Serra Coch, Maria Anna Hecher

The diffusion of energy technologies is key for supporting the energy transition. While social influence and peer effects have been extensively studied on the demand side and found to impact adoption, less focus has been given to the role of information ne ...

2023

Simplicity in complex networks: a path-based centrality

Nikolaos Geroliminis, Leonardo Bellocchi

Understanding travel behaviour in transportation system is key challenge to calibrate and simulate the usage of urban mobility networks. We define in this work a path-based centrality based on the simplicity of the path between two locations in road networ ...

2020

Scale-dependent measure of network centrality from diffusion dynamics

Alexis Arnaudon

Classic measures of graph centrality capture distinct aspects of node importance, from the local (e.g., degree) to the global (e.g., closeness). Here we exploit the connection between diffusion and geometry to introduce a multiscale centrality measure. A n ...

AMER PHYSICAL SOC2020

Systemic Risk in Networks with a Central Node

Damir Filipovic, Léo Hamed Amini

We examine the effects on a financial network of clearing all contracts though a central node (CN), thereby transforming the original network into a star-shaped one. The CN is capitalized with external equity and a guaranty fund. We introduce a structural ...

SIAM PUBLICATIONS2020

A Measure of Dynamical Efficiency for Multimodal Interconnected Urban Systems

Nikolaos Geroliminis, Leonardo Bellocchi

Complex network theory describes network performance mostly based on topological characteristics, like betweenness centrality. This work integrates concepts from complex networks and traffic engineering. We propose a new measure for spatial networks and, i ...

2020

The key player problem in complex oscillator networks and electric power grids: Resistance centralities identify local vulnerabilities

Philippe René Joseph Jacquod, Melvyn Sandy Tyloo

Identifying key players in coupled individual systems is a fundamental problem in network theory. We investigate synchronizable network-coupled dynamical systems such as high-voltage electric power grids and coupled oscillators on complex networks. We defi ...

2019

Nuove ecologie alpine: industrializzazione e costruzione della città-territorio

Roberto Sega

This research study offers a reflection on the Alpine urban condition through the observation of the spaces of production. Departing from the premise that the tourist economy cannot be the only possible horizon for Alpine development, this thesis reflects ...

EPFL2018

Dynamics of functional connectivity at high spatial resolution reveal long-range interactions and fine-scale organization

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti

Dynamic functional connectivity (dFC) derived from resting-state functional magnetic resonance imaging sheds light onto moment-to-moment reconfigurations of large-scale functional brain networks. Due to computational limits, connectivity is typically compu ...

Nature Research2017

Eigenmaps Of Dynamic Functional Connectivity: Voxel-Level Dominant Patterns Through Eigenvector Centrality

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti

Dynamic functional connectivity (dFC) based on resting-state functional magnetic resonance imaging (fMRI) explores the ongoing temporal configuration of brain networks. To reduce the large dimensionality of the data, conventional dFC analysis usually fores ...

IEEE2016

Distributed rate allocation in switch-based multiparty videoconference

Pascal Frossard, Sergio Mena, Stefano D'Aronco

Multiparty videoconferences, or more generally multiparty video calls, are gaining a lot of popularity as they offer a rich communication experience. These applications have however, large requirements in terms of both network and computational resources a ...

ACM2016

Character network analysis of Émile Zola’s Les Rougon-Macquart

Yannick Rochat

In this work, we use network analysis methods to sketch a typology of fiction novels based on characters and their proximity in the narration. We construct character networks modelling the twenty novels composing Les Rougon-Macquart, written by Émile Zola. ...

2015

The impact of study load on the dynamics of longitudinal email communications among students

Beat Adrian Schwendimann

With the advent of information technology, emails have gained wide acceptability among students as an asynchronous communication tool. According to the current pedagogy literature the overall trend of the use of email communication by university students h ...

Elsevier2014

Analyse des réseaux de personnages dans Les Confessions de Jean-Jacques Rousseau

Frédéric Kaplan, Yannick Rochat

Cet article étudie le concept de centralité dans les réseaux de personnages apparaissant dans Les Confessions de Jean-Jacques Rousseau. Notre objectif est ainsi de caractériser certains aspects des rôles des personnages du récit sur la base de leurs cooccu ...

2014

Direct Negative Opinions in Online Discussions

Boi Faltings, Claudiu-Cristian Musat, Philippe Henri Jean Roussille

In this paper we investigate the impact of antagonism in online discussions. We define antagonism as a new class of textual opinions - direct sentiment towards the authors of previous comments. We detect the negative sentiment using aspect-based opinion mi ...

2013

Multi-Graph Sampling Of Online Communities Via Mean Hitting Time

We derive a framework for sampling online communities based on the mean hitting time of its members, considering that there are multiple graphs associated with the same vertex set V representing the social network. First, we formulate random walk models on ...

Ieee2012

Information Processing and Structure of Dynamical Networks

Ali Ajdari Rad

Networks are everywhere and we are confronted with many networks in our daily life. Networks such as Internet, World Wide Web, social, biological and economical networks have been subject to extensive studies in the last decade. The volume of publications ...

EPFL2011

Definitive Consensus for Distributed Data Inference

Leonidas Georgopoulos

Inference from data is of key importance in many applications of informatics. The current trend in performing such a task of inference from data is to utilise machine learning algorithms. Moreover, in many applications that it is either required or is pref ...

EPFL2011

Automatic skill acquisition in Reinforcement Learning using connection graph stability centrality

Martin Hasler, Ali Ajdari Rad

Reinforcement Learning (RL) is an approach for training agent's behavior through trial-and-error interactions with a dynamic environment. An important problem of RL is that in large domains an enormous number of decisions are to be made. Hence, instead of ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

Synchronizability of dynamical networks: different measures and coincidence

Ali Ajdari Rad, Mahdi Jalili

In this paper, we list four different interpretations of synchronizability, study their profile in different network structures and give evidence that they do not coincide, in general. By changing the network topological properties, their behavior is track ...

2009

Enhancing synchronizability of weighted dynamical networks using betweenness centrality

Martin Hasler, Ali Ajdari Rad, Mahdi Jalili

By considering the eigenratio of the Laplacian of the connection graph as a synchronizability measure, we propose a procedure for weighting dynamical networks to enhance their synchronizability. The method is based on node and edge betweenness centrality m ...

2008