Articles

Pre-emptive spectral graph protection strategies on multiplex social networks

Constructing effective and scalable protection strategies over epidemic propagation is a challenging issue. It has been attracting interests in both theoretical and empirical studies. However, most of the rece...

Authors: Arie Wahyu Wijayanto and Tsuyoshi Murata

Modeling and maximizing influence diffusion in social networks for viral marketing

Modeling influence diffusion in social networks is an important challenge. We investigate influence-diffusion modeling and maximization in the setting of viral marketing, in which a node’s influence is measure...

Authors: Wenjun Wang and W. Nick Street

Where to look for power Laws in urban road networks?

Spatial embeddedness and planarity of urban road networks limit the range of their node degree values. Therefore, pursuing analysis based on the distribution of node degrees e.g. scale free aspect could not be...

Authors: Meisam Akbarzadeh, Soroush Memarmontazerin and Sheida Soleimani

Dynamic graphs, community detection, and Riemannian geometry

A community is a subset of a wider network where the members of that subset are more strongly connected to each other than they are to the rest of the network. In this paper, we consider the problem of identif...

Authors: Craig Bakker, Mahantesh Halappanavar and Arun Visweswara Sathanur

Identifying network structure similarity using spectral graph theory

Most real networks are too large or they are not available for real time analysis. Therefore, in practice, decisions are made based on partial information about the ground truth network. It is of great interes...

Authors: Ralucca Gera, L. Alonso, Brian Crawford, Jeffrey House, J. A. Mendez-Bermudez, Thomas Knuth and Ryan Miller

Multi-objective optimisation of reliable product-plant network configuration

Ensuring manufacturing reliability is key to satisfying product orders when production plants are subject to disruptions. Reliability of a supply network is closely related to the redundancy of products as pro...

Authors: Alexandra Brintrup and Alena Puchkova

Analysing the sensitivity of nestedness detection methods

Many bipartite and unipartite real-world networks display a nested structure. Examples pervade different disciplines: biological ecosystems (e.g. mutualistic networks), economic networks (e.g. manufactures and...

Authors: Alexander Grimm and Claudio J. Tessone

Generating realistic scaled complex networks

Research on generative models plays a central role in the emerging field of network science, studying how statistical patterns found in real networks could be generated by formal rules. Output from these gener...

Authors: Christian L. Staudt, Michael Hamann, Alexander Gutfraind, Ilya Safro and Henning Meyerhenke

The evolving network of labor flows in the Stockholm Region

Evolutionary theories of organizational change aim at finding processes that introduce structural variations in organizational variables and the conditions under which they can survive and be reproduced. Howev...

Authors: Hernan Mondani

Network science approach to modelling the topology and robustness of supply chain networks: a review and perspective

Due to the increasingly complex and interconnected nature of global supply chain networks (SCNs), a recent strand of research has applied network science methods to model SCN growth and subsequently analyse va...

Authors: Supun Perera, Michael G.H. Bell and Michiel C.J. Bliemer

Predicting stock market movements using network science: an information theoretic approach

A stock market is considered as one of the highly complex systems, which consists of many components whose prices move up and down without having a clear pattern. The complex nature of a stock market challenge...

Authors: Minjun Kim and Hiroki Sayama

Categorisation of polyphonic musical signals by using modularity community detection in audio-associated visibility network

This article proposes a method to numerically characterise the homogeneity of polyphonic musical signals through community detection in audio-associated visibility networks and to detect patterns that allow th...

Authors: Dirceu de Freitas Piedade Melo, Inacio de Sousa Fadigas and Hernane Borges de Barros Pereira

Forbidden triads and creative success in jazz: the Miles Davis factor

This article argues for the importance of forbidden triads – open triads with high-weight edges – in predicting success in creative fields. Forbidden triads had been treated as a residual category beyond close...

Authors: Balazs Vedres

Can local-community-paradigm and epitopological learning enhance our understanding of how local brain connectivity is able to process, learn and memorize chronic pain?

The mystery behind the origin of the pain and the difficulty to propose methodologies for its quantitative characterization fascinated philosophers (and then scientists) from the dawn of our modern society. No...

Authors: Vaibhav Narula, Antonio Giuliano Zippo, Alessandro Muscoloni, Gabriele Eliseo M. Biella and Carlo Vittorio Cannistraci

Online community management as social network design: testing for the signature of management activities in online communities

Online communities are used across several fields of human activities, as environments for large-scale collaboration. Most successful ones employ professionals, sometimes called “community managers” or “modera...

Authors: Alberto Cottica, Guy Melançon and Benjamin Renoust

A multiplex network approach for the analysis of intracranial pressure and heart rate data in traumatic brain injured patients

We present a multiplex network model for the analysis of Intracranial Pressure (ICP) and Heart Rate (HR) behaviour after severe brain traumatic injuries in pediatric patients. The ICP monitoring is of vital im...

Authors: Giovanna Maria Dimitri, Shruti Agrawal, Adam Young, Joseph Donnelly, Xiuyun Liu, Peter Smielewski, Peter Hutchinson, Marek Czosnyka, Pietro Lió and Christina Haubrich

Erratum to: Multiplex flows in citation networks

Authors: Benjamin Renoust, Vivek Claver and Jean-François Baffier

A graph exploration method for identifying influential spreaders in complex networks

The problem of identifying the influential spreaders - the important nodes - in a real world network is of high importance due to its theoretical interest as well as its practical applications, such as the acc...

Authors: Nikos Salamanos, Elli Voudigari and Emmanuel J. Yannakoudakis

Brain network clustering with information flow motifs

Recent work has revealed frequency-dependent global patterns of information flow by a network analysis of magnetoencephalography data of the human brain. However, it is unknown which properties on a small subg...

Authors: Marcus Märtens, Jil Meier, Arjan Hillebrand, Prejaas Tewarie and Piet Van Mieghem

The Third Man: hierarchy formation in Wikipedia

Wikipedia articles are written by teams of independent volunteers in the absence of formal hierarchical organizational structures. How is coordination achieved under such conditions of extreme decentralization...

Authors: Jürgen Lerner and Alessandro Lomi

Multiplex flows in citation networks

Knowledge is created and transmitted through generations, and innovation is often seen as a process generated from collective intelligence. There is rising interest in studying how innovation emerges from the ...

Authors: Benjamin Renoust, Vivek Claver and Jean-François Baffier

Effects of local network topology on the functional reconstruction of spiking neural network models

The representation of information flow through structural networks, as depicted by functional networks, does not coincide exactly with the anatomical configuration of the networks. Model free correlation metho...

Authors: Myles Akin, Alexander Onderdonk and Yixin Guo

Countries’ positions in the international global value networks: Centrality and economic performance

The international exchange of goods and services is increasingly organised along global value chains in which the various production stages are carried out at many different locations all over the world. A cou...

Authors: Isabella Cingolani, Pietro Panzarasa and Lucia Tajoli

The effect of transmission variance on observer placement for source-localization

Detecting where an epidemic started, i.e., which node in a network was the source, is of crucial importance in many contexts. However, finding the source of an epidemic can be challenging, especially because t...

Authors: Brunella Spinelli, L. Elisa Celis and Patrick Thiran

Weighted spectral clustering for water distribution network partitioning

In order to improve the management and to better locate water losses, Water Distribution Networks can be physically divided into District Meter Areas (DMAs), inserting hydraulic devices on proper pipes and thu...

Authors: Armando Di Nardo, Michele Di Natale, Carlo Giudicianni, Roberto Greco and Giovanni Francesco Santonastaso