Results 51 to 60 of about 557,147 (262)
A Filtered Gradient Descent Clustering Method to Recover Communities in Attributed Networks
IEEE AccessAn attributed network is a network in which in addition to the network structure each node is associated with a set of attributes. Community detection in such networks involves recovering the clusters by simultaneously using the network data and the node
Soroosh Shalileh
doaj +1 more source
Nearest Neighbor Search in the Metric Space of a Complex Network for Community Detection
Information, 2016 The objective of this article is to bridge the gap between two important research directions: (1) nearest neighbor search, which is a fundamental computational tool for large data analysis; and (2) complex network analysis, which deals with large real ...
Suman Saha, Satya P. Ghrera
doaj +1 more source
A vertex-similarity clustering algorithm for community detection
Journal of Information and Telecommunication, 2020 Communities in networks are considered to be groups of vertices with higher probability of being connected to each other than to members of other groups.
Antonio Maria Fiscarelli +3 more
doaj +1 more source
A Memetic Algorithm for Community Detection in Signed Networks
IEEE Access, 2020 Community discovery (i.e. community detection) in signed networks is a division of nodes, such that the edges in the communities are positive and the edges between the communities are negative.
Shiwei Che, Wu Yang, Wei Wang
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with sickle cell disease (SCD) face multiple acute and chronic medical complications that may impact their quality of life as reported by patients themselves. Health‐related social needs (HRSNs), such as food and housing insecurity, are common in people with SCD, but the association between HRSNs and patient‐reported ...
Sarah J. Marks +5 more
wiley +1 more source
From Community Detection to Community Deception
CoRR, 2016 The community deception problem is about how to hide a target community C from community detection algorithms. The need for deception emerges whenever a group of entities (e.g., activists, police enforcements) want to cooperate while concealing their existence as a community. In this paper we introduce and formalize the community deception problem.
Valeria Fionda, Giuseppe Pirrò
openaire +2 more sources
Archives of Public HealthBackground Amid the rising burden of cancer in Europe, participation in colorectal, breast, and cervical cancer screening programmes remains inadequate. The potential role of social support in increasing screening uptake across different types of cancer ...
Maelodee Chong Armstrong +3 more
doaj +1 more source
Generating Ensembles of Gene Regulatory Networks to Assess Robustness of Disease Modules
Frontiers in Genetics, 2021 The use of biological networks such as protein–protein interaction and transcriptional regulatory networks is becoming an integral part of genomics research.
James T. Lim +4 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Fertility preservation (FP) is increasingly integrated into the care of pediatric patients exposed to gonadotoxic therapy or conditioning for hematopoietic stem cell transplantation (HSCT), yet perioperative data in infants and toddlers remain scarce.
Kerstin Saalabian +13 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric radiation therapy presents unique challenges compared to adult treatments, including those of immobilization, potential need for sedation, and the critical importance of accurate, reproducible positioning. Additionally, heightened attention to imaging doses is necessary to minimize long‐term toxicity in survivors.
Parham Alaei +17 more
wiley +1 more source