Results 81 to 90 of about 9,790,052 (309)
Robust Resilience Blocks Detection Problem in Dynamic Social Networks
IEEE AccessFinding a stable community in dynamically developing networks is crucial. In this study, we introduce an innovative concept of resilience, originally rooted in infrastructure networks, and merge it with the distinctive features of k-core graphs to define
Yuxin Gao +3 more
doaj +1 more source
FEBS Letters, EarlyView.Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley +1 more source
Cloud Service Community Detection for Real-World Service Networks Based on Parallel Graph Computing
IEEE Access, 2019 Heterogeneous information networks (e.g. cloud service relation networks and social networks), where multiple-typed objects are interconnected, can be structured by big graphs. A major challenge for clustering in such big graphs is the complex structures
Yu Lei, Philip S. Yu
doaj +1 more source
FEBS Letters, EarlyView.Inositol pyrophosphates are energy‐rich signaling molecules that perform critical functions in cells. Three different families of phosphatases hydrolyze the β phosphate of the inositol pyrophosphate molecules: two have narrow specificities and one is promiscuous.
Ronda J. Rolfes
wiley +1 more source
Graph Neural Network Encoding for Community Detection in Attribute Networks [PDF]
IEEE Transactions on Cybernetics, 2020 In this article, we first propose a graph neural network encoding method for the multiobjective evolutionary algorithm (MOEA) to handle the community detection problem in complex attribute networks.
Jianyong Sun +3 more
semanticscholar +1 more source
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Community detection in node-attributed social networks: a survey [PDF]
Computer Science Review, 2019 Community detection is a fundamental problem in social network analysis consisting in unsupervised dividing social actors (nodes in a social graph) with certain social connections (edges in a social graph) into densely knitted and highly related groups ...
Petr Chunaev
semanticscholar +1 more source
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
Molecular Oncology, EarlyView.This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
Community Detection on Networks with Ricci Flow [PDF]
Scientific Reports, 2019 Many complex networks in the real world have community structures – groups of well-connected nodes with important functional roles. It has been well recognized that the identification of communities bears numerous practical applications.
Chien-Chun Ni +3 more
semanticscholar +1 more source
Community detection as an inference problem [PDF]
Physical Review E, 2006 We express community detection as an inference problem of determining the most likely arrangement of communities. We then apply belief propagation and mean-field theory to this problem, and show that this leads to fast, accurate algorithms for community detection.
openaire +3 more sources