Hypergraph similarity measures
In this paper we present a novel framework for hypergraph similarity measures (HSMs) for
hypergraph comparison. Hypergraphs are generalizations of graphs in which edges may …
hypergraph comparison. Hypergraphs are generalizations of graphs in which edges may …
Multimodal multilayer network centrality relates to executive functioning
Executive functioning (EF) is a higher order cognitive process that is thought to depend on a
network organization facilitating integration across subnetworks, in the context of which the …
network organization facilitating integration across subnetworks, in the context of which the …
A weighted hybrid centrality for identifying influential individuals in contact networks
RD Shetty, S Bhattacharjee - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
In the context of infectious disease spread, one of the most challenging tasks is to identify
influential nodes in the human contact networks. In recent years, the research community …
influential nodes in the human contact networks. In recent years, the research community …
Gene co-expression network construction and analysis for identification of genetic biomarkers associated with glioblastoma multiforme using topological findings
Background Glioblastoma multiforme (GBM) is one of the most malignant types of central
nervous system tumors. GBM patients usually have a poor prognosis. Identification of genes …
nervous system tumors. GBM patients usually have a poor prognosis. Identification of genes …
A forward-looking approach to compare ranking methods for sports
In this paper, we provide a simple forward-looking approach to compare rating methods with
respect to their stability over time. Given a rating vector of entities involved in the comparison …
respect to their stability over time. Given a rating vector of entities involved in the comparison …
Cuckoo search in threshold optimization for better event detection in social networks
Social network analysis (SNA) is one of the emerging fields of research for discovering the
densely connected nodes in social networks (community detection) and identifying the …
densely connected nodes in social networks (community detection) and identifying the …
[图书][B] The Robustness of EBIC Glasso to Distributional Misspecification
LR Slipetz - 2021 - search.proquest.com
Network analysis is gaining in popularity as a method for modeling psychopathology. EBIC
glasso is a common method of estimating such networks. An assumption of EBIC glasso is …
glasso is a common method of estimating such networks. An assumption of EBIC glasso is …