26 papers · ranked by Valyu relevance
Gergely Sebestyen, Jozsef Kopjak, Rabi N. Mahapatra, Amar Rasheed
This paper introduces a novel stability metric specifically developed for IQRF wireless mesh sensor networks, emphasizing flooding routing and data collection methodologies, particularly IQRF’s Fast Response Command (FRC) technique. A key feature of this metric is its ability to ensure network resilience against…
Vladimir Ufimtsev, Soumya Sarkar, Animesh Mukherjee, Sanjukta Bhowmick
'Sanjukta Bhowmick'] In this paper, we study the effect of noise in changing ranks of the high centrality vertices. We compare, using the Jaccard Index (JI), how many of the top-k high centrality nodes from the original network are also part of the top-k ranked nodes from the noisy network. We deem a network as stable…
Marco Bardoscia, Stefano Battiston, Fabio Caccioli, Guido Caldarelli
Following the financial crisis of 2007-2008, a deep analogy between the origins of instability in financial systems and complex ecosystems has been pointed out: in both cases, topological features of network structures influence how easily distress can spread within the system. However, in financial network models, the…
Mohamad Alghamdi
The aim of this paper is to study the individual and social benefits behind constructing stable R&D networks. We find that the equilibrium outcomes of a stable network are related to the number of competitors. As they increase, the individual outcomes and the total welfare decrease. This implies that in the individual…
Boris Podobnik, Antonio Majdandzic, Chester Curme, Zhilin Qiao + 3 more
'Wei‐Xing Zhou' 'H. Eugene Stanley' 'Bofeng Li'] In order to model volatile real-world network behavior, we analyze phase-flipping dynamical scale-free network in which nodes and links fail and recover. We investigate how stochasticity in a parameter governing the recovery process affects phase-flipping dynamics, and…
Robert Veres, Zoltán László
Stability is a key attribute of complex food webs that has been for a long time in the focus of studies. It remained an intriguing question how large and complex food webs are persisting if smaller and simple ones tend to be more stable at least from a mathematic perspective. Presuming that with the increasing size of…
Axel Hutt, Scott Rich, Taufik A Valiante, Jérémie Lefebvre
Heterogeneity is the norm in biology. The brain is no different: neuronal cell-types are myriad, reflected through their cellular morphology, type, excitability, connectivity motifs and ion channel distributions. While this biophysical diversity enriches neural systems’ dynamical repertoire, it remains challenging to…
Jiannan Wang, Sen Pei, Wei Wei, Xiangnan Feng + 1 more
The stability of Boolean networks has attracted much attention due to its wide applications in describing the dynamics of biological systems. During the past decades, much effort has been invested in unveiling how network structure and update rules will affect the stability of Boolean networks. In this paper, we aim to…
Roslyn Dakin, T. Brandt Ryder
The structure of social network interactions can determine the transmission of information, the spread of diseases, and the stability of diverse systems^1–6^. Despite this broad importance, a general framework for predicting social network stability has not been proposed^7,8^. Here, we use repeated measures of social…
Shin Watanabe, Atsuko Takamatsu, Dante R. Chialvo
In this paper, we propose designing transportation network topology and traffic distribution under fluctuating conditions using a bio-inspired algorithm. The algorithm is inspired by the adaptive behavior observed in an amoeba-like organism, plasmodial slime mold, more formally known as plasmodium of Physarum…
Antonio Manzalini
—This paper elaborates about the potential risk of systemic instabilities in future networks and proposes a methodology to mitigate it. The starting concept is modeling the network as a complex environment (e.g. ecosystem) of resources and associated functional controllers in a continuous and dynamic game of…
Farzaneh Farhadi, Farid Ashtiani
Stability region of random access wireless networks is known for only simple network scenarios. The main problem in this respect is due to interaction among queues. When transmission probabilities during successive transmissions change, e.g., when exponential backoff mechanism is exploited, the interactions in the…
Majid Saberi, Reza Khosrowabadi, Ali Khatibi, Bratislav Misic + 1 more
Stability is a physical attribute that stands opposite the change. However, it is still unclear how the arrangement of links called topology affects network stability. In this study, we tackled this issue in the resting-state brain network using structural balance. Structural balance theory employs the quality of…
José R. Portillo, Fernando Soler-Toscano, Antonio Suárez, José A. Langa
Dynamical systems on graphs allow to describe multiple phenomena from different areas of Science. In particular, many complex systems in Ecology are studied by this approach, for which there exists a huge literature on the dependence of the topology of underlying graphs and their associated dynamics. In this paper we…
Rachit Agarwal, Vincent Gauthier, Monique Becker
Mobility causes network structures to change. In P SNs where underlying network structure is changing rapidly, we are interested in studying how information dissemination can be enhanced in a sparse disconnected network where nodes lack the global knowledge about the network. We use beamforming to study the enhancement…
Bing Wang, Hideyuki Suzuki, Kazuyuki Aihara
Maintaining a synchronous state of generators is of central importance to the normal operation of power grids, in which many networks are generally interconnected. In order to understand the condition under which the stability can be optimized, it is important to relate network stability with feedback control…
Papadimitriou Dimitri, Cabellos Albert
Most studies on path-vector routing stability have been conducted empirically by means of ad-hoc analysis of BGP data traces. None of them consider prior specification of an analytic method including the use of stability measurement metrics for the systematic analysis of BGP traces and associated meta-processing for…
Papadimitriou Dimitri, Cabellos Albert
Most studies on path-vector routing stability have been conducted empirically by means of ad-hoc analysis of BGP data traces. None of them consider prior specification of an analytic method including the use of stability measurement metrics for the systematic analysis of BGP traces and associated meta-processing for…
Dimitrios Tsiotas, Hang-Hyun Jo
Aiming at serving the interdisciplinary demand in network science, this paper introduces a new concept for complex networks, named network stiffness, which is extracted from structural engineering by assuming that a complex network behaves similarly with a structured framework. This analogy allows interpreting that a…
Yoshiharu Mukouyama, Kenya Tanaka, Shuji Nakanishi, Yoshihiro Nakato
The emergence of life on Earth has attracted intense attention but remains unclear. A key problem is that the question of how living organisms can exhibit self-organizing ability that leads to highly ordered structures and active free independent behavior remains unanswered. This work reveals, by computer simulation…
Yoshiharu Mukouyama, Kenya Tanaka, Shuji Nakanishi, Yoshihiro Nakato
The emergence of life on Earth has attracted intense attention but remains unclear. A key problem is that the question of how living organisms can exhibit self-organizing ability that leads to highly ordered structures and active free independent behavior remains unanswered. This work reveals, by computer simulation…
Kasper B. Pedersen, Luís Borges-Araújo, Amanda D. Stange, Paulo C. T. Souza + 2 more
Coarse-grained molecular dynamics simulations enable the modeling of increasingly complex systems at millisecond timescales. The transferable coarse-grained force field Martini 3 has shown great promise in modeling a wide range of biochemical processes, yet folded proteins in Martini 3 are not stable without the…
Matthew H. J. Bailey, Mark Wilson
Networks of biopolymers occur often in nature, and are vulnerable to damage over time. In this work, a coarse grained model of collagen IV molecules is applied in a 2D hexagonal network and the mechanisms by which these networks can rupture are explored. The networks are stretched linearly in order to study their…
Harshavardhan BV, Sarah Adigwe, Mohit Kumar Jolly, Tomáš Gedeon
Cell fate decisions are driven by gene regulatory networks (GRNs). While the mutually inhibitory toggle switch effectively models binary fate decisions, fully connected inhibitory networks with more than two nodes fail to capture multi-fate decisions due to the low prevalence of “single high states”, where only a…
B. Sivakumar, N. Bhalaji, D. Sivakumar
In mobile ad hoc networks connectivity is always an issue of concern. Due to dynamism in the behavior of mobile nodes, efficiency shall be achieved only with the assumption of good network infrastructure. Presence of critical links results in deterioration which should be detected in advance to retain the prevailing…
Authors not listed
Alchemical Free Energy methods are gaining traction in computer-aided drug discovery. An expanding array of methodologies is available for the setup, execution and analysis of relative binding free energy (RBFE) calculations. However, the sharing of algorithms and protocols developed by different organisations is often…