13 papers · ranked by Valyu relevance
Matteo Cinelli, Giovanna Ferraro, Antonio Iovanella
Networks are real systems modelled through mathematical objects made up of nodes and links arranged into peculiar and deliberate (or partially deliberate) topologies. Studying these real-world topologies allows for several properties of interest to be revealed. In real networks, nodes are also identified by a certain…
Larissa Mori, Kaleigh O’Hara, Toyya A. Pujol, Mario Ventresca + 1 more
With the goal of understanding if the information contained in node metadata can help in the task of link weight prediction, we investigate herein whether incorporating it as a similarity feature (referred to as metadata similarity) between end nodes of a link improves the prediction accuracy of common supervised…
M. E. J. Newman, Aaron Clauset
For many networks of scientific interest we know both the connections of the network and information about the network nodes, such as the age or gender of individuals in a social network. Here we demonstrate how this ‘metadata' can be used to improve our understanding of network structure. We focus in particular on the…
Daniela Ballari, Monica Wachowicz, Miguel Angel Manso Callejo
Wireless Sensor Networks (WSNs) produce changes of status that are frequent, dynamic and unpredictable, and cannot be represented using a linear cause-effect approach. Consequently, a new approach is needed to handle these changes in order to support dynamic interoperability. Our approach is to introduce the notion of…
Aleix Bassolas, Anton Holmgren, Antoine Marot, Martin Rosvall + 1 more
'Vincenzo Nicosia'] Integrating structural information and metadata, such as gender, social status, or interests, enriches networks and enables a better understanding of the large-scale structure of complex systems. However, existing approaches to augment networks with metadata for community detection only consider…
Paul Billing Ross, Jina Song, Philip S. Tsao, Cuiping Pan
Biomedical studies have become larger in size and yielded large quantities of data, yet efficient data processing remains a challenge. Here we present Trellis, a cloud-based data and task management framework that completely automates the process from data ingestion to result presentation, while tracking data lineage…
Zhengxian Wei, Min Song, Guisheng Yin, Houbing Song + 3 more
'Xuefei Ma' 'Albert M. K. Cheng'] Underwater wireless sensor networks (UWSNs) represent an area of increasing research interest, as data storage, discovery, and query of UWSNs are always challenging issues. In this paper, a data access based on a guide map (DAGM) method is proposed for UWSNs. In DAGM, the metadata…
Andrey Sobolev, Adrian Stoewer, Michael Pereira, Christian J. Kellner + 3 more
'Christian J. Kellner' 'Christian Garbers' 'Philipp L. Rautenberg' 'Thomas Wachtler'] Structured, efficient, and secure storage of experimental data and associated meta-information constitutes one of the most pressing technical challenges in modern neuroscience, and does so particularly in electrophysiology. The German…
F. Kirchner, D.C.F. Wieland, S. Irvine, S. Schimek + 11 more
Scientific communities have recognized the importance of well-documented metadata generated during research. However, ensuring that metadata is findable, accessible, interoperable, and reusable (FAIR) remains a significant challenge. To address this, scientific communities are working towards making metadata available…
Sebastian Pirch, Felix Müller, Eugenia Iofinova, Julia Pazmandi + 7 more
'Christiane V. R. Hütter' 'Martin Chiettini' 'Celine Sin' 'Kaan Boztug' 'Iana Podkosova' 'Hannes Kaufmann' 'Jörg Menche'] Networks provide a powerful representation of interacting components within complex systems, making them ideal for visually and analytically exploring big data. However, the size and complexity of…
Daniel S. Himmelstein, Michael Zietz, Vincent Rubinetti, Kyle Kloster + 8 more
Hetnets, short for “heterogeneous networks”, contain multiple node and relationship types and offer a way to encode biomedical knowledge. One such example, Hetionet connects 11 types of nodes - including genes, diseases, drugs, pathways, and anatomical structures - with over 2 million edges of 24 types. Previous work…
Daniel S Himmelstein, Michael Zietz, Vincent Rubinetti, Kyle Kloster + 8 more
We used the hetionet knowledge graph to demonstrate connectivity search. Hetionet is a knowledge graph of human biology, disease, and medicine, integrating information from millions of studies and decades of research. Hetionet v1.0 combines information from 29 public databases. The network contains 47,031 nodes of 11…
Dongjun Na, Jinbum Kim, Juseong Jeon, Sejin Park + 3 more
'Victor C.M. Leung' 'Sara Rouhani'] Blockchain technology can address data falsification, single point of failure (SPOF), and DDoS attacks on centralized services. By utilizing IoT devices as blockchain nodes, it is possible to solve the problem that it is difficult to ensure the integrity of data generated by using…