23 papers · ranked by Valyu relevance
Kunihiko Taira, Aditya Nair
The network of interactions among fluid elements and coherent structures gives rise to the incredibly rich dynamics of vortical flows. These interactions can be described with the use of mathematical tools from the emerging field of network science, which leverages graph theory, dynamical systems theory, data science…
Yongheng Zhang, Yuliang Lu, Guozheng Yang, Dongdong Hou + 5 more
'Boleslaw K. Szymanski' 'Jianxi Gao' 'Lu Zhong' 'Xueming Liu'] The Internet creates multidimensional and complex relationships in terms of the composition, application and mapping of social users. Most of the previous related research has focused on the single-layer topology of physical device networks but ignored the…
Vikash Prajapat, Rupali Dilip Taru
The world is transforming through a revolution and development in the progression of information and its broadcasting. The number of research journals, books and reports being published the world over has been increasing phenomenally. Currently, about five lakh books, one lakh periodicals, lakhs of patents, thousands…
Benjamin Ries, Richard J Gowers, James RB Eastwood, Irfan Alibay + 4 more
Alchemical free energy campaigns can be planned using graph theory by building up networks that contain nodes representing molecules that are connected by possible transformations as edges. We introduce Konnektor, an open-source Python package, for systematically planning, modifying, and analyzing free energy…
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…
Yang Lou, Ruizi Wu, Junli Li, Lin Wang + 2 more
—Network robustness is critical for various societal and industrial networks again malicious attacks. In particular, connectivity robustness and controllability robustness reflect how well a networked system can maintain its connectedness and controllability against destructive attacks, which can be quantified by a…
Raima Carol Appaw, Matthew J Silk, Julie Rushmore, Kimberly VanderWaal + 2 more
Detecting patterns in animal social behaviour and movement is complicated by the diversity of ecological, evolutionary, environmental, and biological drivers of these behaviours such as migration, foraging, assortative mixing, socio-ecological factors, and human influence. Addressing these complexities requires a…
Florian Auer, Simone Mayer, Frank Kramer
Networks are a common data structure to describe relations among biological entities. Enriched with information to specify the entities or their connections, they provide a solid foundation for data-dependent visualization. When such annotations overlap, for example in a protein-protein interaction network that is…
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…
Yufeng Jia, Jiadong Ren, Xianshan Li, Haitao He + 3 more
'Rong Li' 'Paulo Jorge Coelho'] The software-defined networking (SDN) paradigm relies on the decoupling of the control plane and data plane. Northbound interfaces enable the implementation of network services through logical centralised control. Suitable northbound interfaces and application-oriented abstractions are…
Erick Petersen, Jorge López, Natalia Kushik, Claude Poletti + 1 more
'Djamal Zeghlache'] Abstract: This paper presents the design and architecture of a network emulator whose links' parameters (such as delay and bandwidth) vary at different time instances. The emulator can thus be used in order to test and evaluate novel solutions for such networks, before their final deployment. To…
William Stanford, Peter J. Mucha, Eran Dayan
Aging is associated with gradual changes in cognition, yet some individuals exhibit protection against aging-related cognitive decline. The topological characteristics of brain networks that support protection against cognitive decline in aging are unknown. Here, we investigated whether the robustness of brain…
Yi Yang Teoh, Jae-Young Son, Alice Xia, Apoorva Bhandari + 1 more
People routinely navigate their complex social networks^1^: From gossiping strategically with others^2–4^ to brokering connections between siloed groups^5,6^, our ability to make adaptive social choices hinges on whether we can construct useful mental representations of the social ties within our communities^7^. While…
Brenna Marie Gagliardi, Nader St-Amant, Roslyn Dakin
Social networks can shape the evolution and transmission of behaviours. Recent studies have characterized social networks within species, but we know relatively little about the drivers of variation in the structure of social networks across species. Here, we analyze a database of 631 social networks from more than 30…
Prama Putra, Hadrien Oliveri, Travis Thompson, Alain Goriely
Many physical, epidemiological, or physiological dynamical processes on networks support front-like propagation, where an initial localized perturbation grows and systematically invades all nodes in the network. A key question is then to extract estimates for the dynamics. In particular, if a single node is seeded at a…
Magali Alexander Lopez-Chavira, Daniela Aguirre-Guerrero, Ricardo Marcelín-Jiménez, Luis Alberto Vásquez-Toledo + 1 more
'Ricardo Marcelín-Jiménez' 'Luis Alberto Vásquez-Toledo' 'Roberto Bernal-Jaquez'] We propose a distributed rewiring model which starts with a planar graph embedded into the Euclidean space and then behaves as a distributed system, where each node is provided with a set of dynamic links. The proposed rewiring evolves…
A. Bayer, David A. Maluf, Behnaam Aazhang
Cyber networks are fundamental to many organization's infrastructure, and the size of cyber networks is increasing rapidly. Risk measurement of the entities/endpoints that make up the network via available knowledge about possible threats has been the primary tool in cyber network security. However, the dynamic…
Sergio Pablo-García, Raúl Pérez-Soto, Albert Sabadell-Rendón, Diego Garay-Ruiz + 2 more
In the study of chemical reactions, visualizing reaction networks is pivotal for identifying crucial compounds and reactions. Traditional methods, such as network schematics and reaction path linear plots, often struggle to effectively represent complex reaction networks due to their size and intricate connectivity.…
Lei Wei
Network security risk quantification involves both technical and management aspects. Risk quantification has great uncertainty and cannot be fully quantified. Therefore, the fully objective realization of network information security risk quantification is not yet mature. This paper analyzes and quantifies the network…
Thomas Lynn, Julio Ottino, Richard Lueptow, Paul Umbanhowar
Cut-and-shuffle mixing is an instructive candidate system with which to assess the potential of machine learning (ML) as an approach to solve difficult mixing problems. We focus on a specific subset of cut-and-shuffle systems, the one-dimensional interval exchange transform. This class of mixing operations is well…
Michael Hutcheon, Andrew Teale
Algorithms are presented for performing a topological analysis of an arbitrary function, evaluated on an arbitrary grid of points. These algorithms work strictly by post-processing the data and require no additional function evaluations. This is achieved by connecting the grid points with a neighbourhood graph…
Daphné Tuncer, Marc De Bruyère
paper ethical statement Authors: ['Daphné Tuncer' 'Marc De Bruyère'] Several recent initiatives have proposed new directions for research practices and their operations in the computer science community, from updated codes of conduct that clarify the use of AI-assisted tools to the inclusion of ethical statements and…
Authors not listed
Real-world datasets in chemical engineering and bioengineering processes--such as those from catalytic reactors, multiphase flows, polymerization reactors, bioreactors, and clinical trials--can often be unlabelled or disorganized, rendering the training of existing supervised learning models ineffective at learning the…