Results 151 to 160 of about 139,675 (284)
LLM‐based prior elicitation for Bayesian graphical modeling
ABSTRACT In the Bayesian graphical modeling framework, priors on network structure encode theoretical assumptions and uncertainty about the topology of psychological constructs under study. For instance, the Bernoulli prior specifies the probability of each pairwise interaction, the Beta–Bernoulli prior governs expected network density, and the ...
Nikola Sekulovski +2 more
wiley +1 more source
Temporal betweenness centrality in dynamic graphs
Temporal betweenness centrality in dynamic ...
I Tsalouchidou (20665289) +4 more
core
ABSTRACT Changing the status quo and promoting innovation requires individuals to speak up and engage in voice behaviour. Yet, the interactions that foster or inhibit voice remain insufficiently understood, particularly with regard to personal agency, how an individual's personality interacts with their network position to influence voice.
Léonie Sophia Lange +2 more
wiley +1 more source
Variability of Betweenness Centrality and Its Effect on Identifying Essential Genes. [PDF]
Durón C +4 more
europepmc +1 more source
ABSTRACT Effective child protection systems increasingly rely on integrated, multi‐agency responses to prevent and address child maltreatment. However, in many European welfare contexts, collaboration across services remains constrained by organizational fragmentation.
Caterina Balenzano +2 more
wiley +1 more source
On the calculation of betweenness centrality in marine connectivity studies using transfer probabilities. [PDF]
Costa A +3 more
europepmc +1 more source
Survey on Visualization of Information Diffusion over Networks
Abstract Information Diffusion (ID) describes how a value (e.g., a pathogen, a rumor, a packet) spreads through an underlying “medium” network of elements (e.g., a social or computer network). Understanding the information diffusion process is essential to predicting trends, controlling misinformation, and enhancing decision‐making as well as ...
T. Baumgartl +8 more
wiley +1 more source
Hierarchical Decomposition for Betweenness Centrality Measure of Complex Networks. [PDF]
Li Y, Li W, Tan Y, Liu F, Cao Y, Lee KY.
europepmc +1 more source
Advances in 4D Representation: Geometry, Motion, and Interaction
We survey 4D representation through three key pillars — geometry, motion, and interaction — offering a selective, representation‐centric perspective to guide researchers in choosing and customizing the right 4D representation for their tasks. Abstract We present a survey on 4D generation and reconstruction, a fast‐evolving subfield of computer graphics
M. Zhao +7 more
wiley +1 more source
Degree Centrality, Betweenness Centrality, and Closeness Centrality in Social Network [PDF]
Yu Luo, Junlong Zhang
openaire +1 more source

