Results 141 to 150 of about 239,550 (307)
Maximising the clustering coefficient of networks and the effects on habitat network robustness. [PDF]
Heer H, Streib L, Schäfer RB, Ruzika S.
europepmc +1 more source
Ranking weighted clustering coefficient in large dynamic graphs
Efficiently searching top-k representative vertices is crucial for understanding the structure of large dynamic graphs. Recent studies show that communities formed by a vertex with high local clustering coefficient and its neighbours can achieve enhanced
Chang, Lijun +4 more
core +1 more source
This article presents the design, modeling, and characterization of air‐pressure–actuated programmable vibroacoustic metamaterials (PVAMM). The study focuses on leveraging air pressure to dynamically tune resonance frequencies for effective noise attenuation.
William Kaal +2 more
wiley +1 more source
C comme clustering coefficient
Ces billets visent à définir le plus clairement et le plus précisément possible des termes clés en analyse de réseau. Ils s’adressent à un public débutant et évitent autant que possible toute formalisation mathématique (pour cette dernière, voir les ...
Laurent Beauguitte
openaire +3 more sources
Average clustering coefficient for varying N.
Average clustering coefficient for varying N.
Christine Largeron (727149) +3 more
core +1 more source
Mg–Zn composites with a thickness of 0.21 mm were fabricated using roll bonding of a kirigami‐patterned Mg alloy inlay within a Zn matrix. Thermal activation following this process led to the formation of tailored intermetallic structures, which provided the composite with enhanced flexural strength.
Yaroslav Frolov +4 more
wiley +1 more source
Path length, clustering coefficient and small-world index.
Path length, clustering coefficient and small-world index.
Amy Kuceyeski (156095) +2 more
core +1 more source
Phase‐field simulations coupled with dislocation‐density‐based crystal plasticity modeling reproduce γ′ rafting behavior in single‐crystal Ni‐based superalloys under varied loading conditions. The model captures both macroscopic creep and microscopic morphology evolution, with results matching high‐temperature creep experiments.
Micheal Younan +5 more
wiley +1 more source
Student T-test for the clustering coefficient of scenarios.
Student T-test for the clustering coefficient of scenarios.
Jiska van Dijk (1898746) +4 more
core +1 more source
Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley +1 more source

