Results 31 to 40 of about 28,536 (223)
The complex network reliability and influential nodes [PDF]
In order to study the complex network node important degree and reliability, considering semi-local centrality, betweenness centrality and PageRank algorithm, through the simulation method to gradually remove nodes and recalculate the importance in the random network, small world network and scale-free network.
Kai Li, Yongfeng He
openaire +1 more source
A Re-Ranking Algorithm for Identifying Influential Nodes in Complex Networks
Influential nodes in complex networks play more significant role than other nodes in many applications such as viral marketing. Identification of the most influential nodes and ranking them based on their spreading ability is a hot topic in the field of ...
Enyu Yu +4 more
doaj +1 more source
RANKING NODES IN COMPLEX NETWORKS: A CASE STUDY OF THE GAUBUS [PDF]
Connecting points of interest through a well-planned, inter-connected network provides manifold benefits to commuters and service providers. In the South African context, traffic congestion has become of great concern.
T. Moyo, W. Musakwa
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A Novel Centrality of Influential Nodes Identification in Complex Networks
Influential nodes identification in complex networks is vital for understanding and controlling the propagation process in complex networks. Some existing centrality measures ignore the impacts of neighbor node.
Yuanzhi Yang +4 more
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The identification of influential nodes in complex networks modeling manufacturing environments is a critical aspect, especially when considering both structure and nodal attributes.
Maricela Fernanda Ormaza Morejón +1 more
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Identifying and Ranking Influential Nodes in Complex Networks Based on Dynamic Node Strength
Identifying and ranking the node influence in complex networks is an important issue. It helps to understand the dynamics of spreading process for designing efficient strategies to hinder or accelerate information spreading.
Xu Li, Qiming Sun
doaj +1 more source
Identifying microbial drivers in biological phenotypes with a Bayesian network regression model
In Bayesian Network Regression models, networks are considered the predictors of continuous responses. These models have been successfully used in brain research to identify regions in the brain that are associated with specific human traits, yet their ...
Samuel Ozminkowski +1 more
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ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
By dawn or dusk—how circadian timing rewrites bacterial infection outcomes
The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo +2 more
wiley +1 more source
Mechanisms of IgE‐mediated food allergy and the role of allergen‐specific B cells
Food allergy arises when allergen‐specific B cells preferentially produce immunoglobulin E (IgE) antibodies against harmless foods. This article explains the mechanisms driving IgE‐mediated reactions, highlights the central role of these B cells, and discusses how natural tolerance (NT) and oral immunotherapy (OIT) can reshape allergic immune responses.
Juan‐Felipe López +2 more
wiley +1 more source

