26 papers · ranked by Valyu relevance
Soumen Majhi, Matjaž Perc, Dibakar Ghosh
Network science has evolved into an indispensable platform for studying complex systems. But recent research has identified limits of classical networks, where links connect pairs of nodes, to comprehensively describe group interactions. Higher-order networks, where a link can connect more than two nodes, have…
Jiaqi Wen, Bogdan Gabryś, Katarzyna Musiał
—This paper aims to provide a comprehensive critical overview on how entities and their interactions in Complex Networked Systems (CNS) are modelled across disciplines as they approach their ultimate goal of creating a Digital Twin (DT) that perfectly matches the reality. We propose a new framework to conceptually…
Giulia de Meijere, Marton Karsai, Gerardo Iniguez
Temporal networks underlie a wide range of social, technological, and biological phenomena, highlighting how temporal inhomogeneities drive interactions in complex systems. Despite vast research on the area, the way temporal network connectivity evolves across time scales remains poorly understood. By analyzing…
Rico Berner, Thilo Groß, Christian Kuehn, Jürgen Kurths + 1 more
'Serhiy Yanchuk'] It is a fundamental challenge to understand how the function of a network is related to its structural organization. Adaptive dynamical networks represent a broad class of systems that can change their connectivity over time depending on their dynamical state. The most important feature of such…
Nate J. Cira, Morgan L. Paull, Shayandev Sinha, Fabio Zanini + 2 more
Network models are widely applied to describe connectivity and flow in diverse systems. In contrast, the fact that many connected systems move through space as the result of dynamic restructuring has received little attention. Therefore, we introduce the concept of ‘traveling networks’, and we analyze a tree-based…
Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial, Maurizio Naldi
This study proposes an extendable modelling framework for Digital Twin-Oriented Complex Networked Systems (DT-CNSs) with a goal of generating networks that faithfully represent real-world social networked systems. Modelling process focuses on (i) features of nodes and (ii) interaction rules for creating connections…
Hirokazu Toju, Sayaka S. Suzuki, Yuki G. Baba
Architecture of species interaction networks is a key factor determining stability of ecological communities. However, the fact that ecological network architecture can change through time is often overlooked in discussions on community-level processes despite its theoretical importance. By compiling a time-series…
Evangelos Kipouridis, Paul G. Spirakis, Kostas Tsichlas
The interest in dynamic processes on networks is steadily rising in recent years. In this paper, we consider the (α, β)-Thresholded Network Dynamics ((α, β)-Dynamics), where α ≤ β, in which only structural dynamics (dynamics of the network) are allowed, guided by local thresholding rules executed by each node. In…
Aura Reggiani
This paper highlights the relevance of connectivity and its architecture as a general conceptual framework which underlies and integrates the concepts of network vulnerability, complexity, and resilience. In particular, it will be pointed out that connectivity architecture can be considered an explicit key element for…
Fatemeh Zarei, Yerali Gandica, Luis E. C. Rocha
Human interactions create social networks forming the backbone of societies. Individuals adjust their opinions by exchanging information through social interactions. Two recurrent questions are whether social structures promote opinion polarisation or consensus and whether polarisation can be avoided, particularly on…
Matthew Bailey, Mark Wilson
One of the critical tools of persistent homology is the persistence diagram. We demonstrate the applicability of a persistence diagram showing the existence of topological features (here rings in a 2D network) generated over time instead of space as a tool to analyse trajectories of biological networks. We show how the…
Miguel A. González-Casado, Andréia Teixeira, Ángel Sánchez
time Authors: ['Miguel A. González-Casado' 'Andréia Teixeira' 'Ángel Sánchez'] Miguel A. González-Casadoa,1, Andreia Sofia Teixeirab,c, and Angel Sáncheza,d aGrupo Interdisciplinar de Sistemas Complejos (GISC), Universidad Carlos III de Madrid, 28911 Leganés, Spain bNetwork Science Institute, Northeastern University…
Nadezdha Malysheva, Max von Kleist
Modelling and simulating the dynamics of pathogen spreading has been proven crucial to inform public heath decisions, containment strategies, as well as cost-effectiveness calculations. Pathogen spreading is often modelled as a stochastic process that is driven by pathogen exposure on time-evolving contact networks. In…
Maria Pope, Caio Seguin, Thomas F. Varley, Joshua Faskowitz + 1 more
Dynamic models of ongoing BOLD fMRI brain dynamics and models of communication strategies have been two important approaches to understanding how brain network structure constrains function. However, dynamic models have yet to widely incorporate one of the most important insights from communication models: the brain…
Michael Chimento, Damien R. Farine
The structure of social networks fundamentally influences spreading dynamics. In general, the more contact between individuals, the more opportunity there is for the transmission of information or disease to take place. Yet, contact between individuals, and any resulting transmission events, are determined by a…
Melvyn Tyloo, Yi-Cheng Zhang, Shimin Cai
Networks are widely used to model the interaction between individual dynamic systems. In many instances, the total number of units and interaction coupling are not fixed in time, and instead constantly evolve. In networks, this means that the number of nodes and edges both change over time. Various properties of…
Aliaksandr Dabranau, Sune Lehmann, Ivana Konvalinka
People navigate dozens of social interactions daily. Through these, they construct and maintain diverse social networks. While personal dispositions drive how people interact and connect others, the resulting networks feed back into daily social experiences by creating interaction opportunities and modulating cognitive…
Gorka Zamora‐López, Matthieu Gilson
Built upon the shoulders of graph theory, the field of complex networks has become a central tool for studying real systems across various fields of research. Represented as graphs, different systems can be studied using the same analysis methods, which allows for their comparison. Here, we challenge the wide-spread…
Malte Doehne, Daniel A. McFarland, James Moody
Social relations are embedded in material, cultural, and institutional settings that affect network dynamics and the resulting topologies. For example, romantic entanglements are subject to social and cultural norms, interfirm alliances are constrained by country-specific legislation, and adolescent friendships are…
Lucas Lacasa
Temporal networks, defined as sequences of time-aggregated adjacency matrices, sample latent graph dynamics and trace trajectories in graph space. By interpreting each adjacency matrix as a different time snapshot of a scalar field, we show how fluid-mechanics methods can be applied to construct two distinct…
Amit Kahana, Lior Segev, Doron Lancet
The origin of life must have involved an unlikely transition from chaotic chemistry to reproducing supramolecular structures. Previous quantitative analyses of reproducing mutually catalytic networks made of simple molecules have led to increasing popularity of this pre-RNA scenario for life’s origin. Here, we…
Federico Musciotto, Danai Papageorgiou, Federico Battiston, Damien R. Farine
Revealing the consequences of social structure in animal societies is largely determined by our ability to accurately estimate functionally relevant patterns of social contact among individuals. To date, studies have predominantly built up social structure from dyadic connections. However, many associations or…
harry gray
The matrix exponential method as implemented in MATLAB is demonstrated as a facile tool for solving the time-dependent concentrations of an arbitrary chemically reactive network modelled as a coupled linear system of first-order differential equations. The method is used to verify a 10 species network incorporating…
Authors not listed
The structural complexities of polymer networks, i.e., multiple functional groups, diverse connection sites, and various defects, make it difficult to accurately describe their microstructure using theoretical models and traditional metrics such as cross-link density (XLD). This study uses multi-scale molecular…
Stephen Goldup, Ivan Aprahamian
All chemists are familiar with the idea that, at equilibrium steady state, the relative concentrations of species present in a system are predicted by the corresponding equilibrium constants, which are in turn related to the relative free energy difference of the system components. There is also no net flux between…
Dariia Yehorova, Rory Crean, Peter Kasson, Shina Caroline Lynn Kamerlin
Protein structure (and thus function) is dictated by non-covalent interaction networks. These can be highly evolutionarily conserved across protein families, the members of which can diverge in sequence and evolutionary history. Here we present KIN, a tool to identify and analyze conserved non-covalent interaction…