Results 71 to 80 of about 43,402 (304)
A Graph-theoretic perspective on centrality
The concept of centrality is often invoked in social network analysis, and diverse indices have been proposed to measure it. This paper develops a unified framework for the measurement of centrality. All measures of centrality assess a node's involvement
Everett, Martin G.; id_orcid +3 more
core +1 more source
Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe +3 more
wiley +1 more source
A proposed centrality measure: the case of stocks traded at Bursa Malaysia [PDF]
In this paper we propose the average of weights of all links adjacent to each stock as a centrality measure. This measure, besides the traditional centrality measures such as degree centrality, betwenness centrality, closeness centrality and eigenvector ...
Sharif, Shamshuritawati +1 more
core +1 more source
We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee +3 more
wiley +1 more source
Quantifying Node Influence in Networks: Isolating-Betweenness Centrality for Improved Ranking
In complex networks, node impact refers to an individual node’s significance or influence within the structure. The evaluation of the impact of the nodes in information transmission, prevention of pandemics, and resilience applications of the ...
Mondikathi Chiranjeevi +4 more
doaj +1 more source
Measurement of Central Tendencies
The main purpose of this article is to understand central tendencies, its application, its types, as well as to learn how to achieve arithmetic mean from grouped and ungrouped data. We will be able to understand geometric and harmonic means and way to calculate them from grouped and ungrouped data.
Muhajir Sial, Abdullah Abid
openaire +1 more source
We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley +1 more source
Map equation centrality: community-aware centrality based on the map equation
To measure node importance, network scientists employ centrality scores that typically take a microscopic or macroscopic perspective, relying on node features or global network structure. However, traditional centrality measures such as degree centrality,
Christopher Blöcker +2 more
doaj +1 more source
Tau acetylation at K331 has limited impact on tau pathology in vivo
We mapped tau post‐translational modifications in humanized MAPT knock‐in mice and in amyloid‐bearing double knock‐in mice. Acetylation within the repeat domain, particularly around K331, showed modest increases under amyloid pathology. To test functional relevance, we generated MAPTK331Q knock‐in mice.
Shoko Hashimoto +3 more
wiley +1 more source
Centrality Measures in Networks [PDF]
We show that although the prominent centrality measures in network analysis make use of different information about nodes' positions, they all process that information in an identical way: they all spring from a common family that are characterized by the same simple axioms.
Francis Bloch, Matthew O. Jackson
openaire +1 more source

