Influence maximization through exploring structural information
Influence maximization (IM) is a widely investigated issue in the study of social networks
because of its potential commercial and social value. The purpose of IM is to identify a group …
because of its potential commercial and social value. The purpose of IM is to identify a group …
Neighborhood-based bridge node centrality tuple for complex network analysis
N Meghanathan - Applied Network Science, 2021 - Springer
We define a bridge node to be a node whose neighbor nodes are sparsely connected to
each other and are likely to be part of different components if the node is removed from the …
each other and are likely to be part of different components if the node is removed from the …
Application of telemedicine in COVID-19: a bibliometric analysis
X Lan, H Yu, L Cui - Frontiers in Public Health, 2022 - frontiersin.org
Background Telemedicine as a tool that can reduce potential disease spread and fill a gap
in healthcare has been increasingly applied during the COVID-19 pandemic. Many studies …
in healthcare has been increasingly applied during the COVID-19 pandemic. Many studies …
Heatmap centrality: a new measure to identify super-spreader nodes in scale-free networks
C Durón - Plos one, 2020 - journals.plos.org
The identification of potential super-spreader nodes within a network is a critical part of the
study and analysis of real-world networks. Motivated by a new interpretation of the “shortest …
study and analysis of real-world networks. Motivated by a new interpretation of the “shortest …
A novel overlapping community detection strategy based on Core-Bridge seeds
G Chen, S Zhou - International Journal of Machine Learning and …, 2024 - Springer
The last decade has witnessed the advance of overlapping community detection based on
local expansion. In this paper, we propose a novel local expanding-based overlapping …
local expansion. In this paper, we propose a novel local expanding-based overlapping …
[HTML][HTML] Assessing neonatal intensive care unit structures and outcomes before and during the COVID-19 pandemic: network analysis study
Background Health care organizations (HCOs) adopt strategies (eg. physical distancing) to
protect clinicians and patients in intensive care units (ICUs) during the COVID-19 pandemic …
protect clinicians and patients in intensive care units (ICUs) during the COVID-19 pandemic …
A novel global clustering coefficient-dependent degree centrality (GCCDC) metric for large network analysis using real-world datasets
Nowadays, it is imperative to identify the combination of profitable products (nodes) within
large product networks. Data exploration for such broad-spectrum product networks require …
large product networks. Data exploration for such broad-spectrum product networks require …
Risk-based criticality for network utilities asset management
JF Gómez, PMG Fernández, AJ Guillén… - … on Network and …, 2019 - ieeexplore.ieee.org
This paper describes the design and the implementation of a process of asset criticality
analysis for distribution network services providers (DNSPs), also named network utilities …
analysis for distribution network services providers (DNSPs), also named network utilities …
NetEPD: a network-based essential protein discovery platform
Proteins drive virtually all cellular-level processes. The proteins that are critical to cell
proliferation and survival are defined as essential. These essential proteins are implicated in …
proliferation and survival are defined as essential. These essential proteins are implicated in …
Randomness index for complex network analysis
N Meghanathan - Social Network Analysis and Mining, 2017 - Springer
The high-level contribution of this paper is a quantitative measure (called Randomness
Index) to assess the extent of randomness in the topology of a complex real-world network …
Index) to assess the extent of randomness in the topology of a complex real-world network …