Results 91 to 100 of about 11,230,345 (378)
, 2016 Sociophysics has devoted a lot of attention to social influence and opinion dynamics. Among the others, the pioneering works by Galam, where agents randomly gather in groups of different size until consensus is reached, have been used to analyze the spreading of rumors. Galam’s model however, considers only special kinds of social spaces.
Davide Radi +3 more
openaire +4 more sources
An Ensemble Framework for Detecting Community Changes in Dynamic Networks
, 2017 Dynamic networks, especially those representing social networks, undergo constant evolution of their community structure over time. Nodes can migrate between different communities, communities can split into multiple new communities, communities can ...
Henson, Van Emden +3 more
core +1 more source
FEBS Letters, EarlyView.UDP‐glucuronic acid 4‐epimerase (UGAepi) catalyzes NAD+‐dependent interconversion of UDP‐glucuronic acid (UDP‐GlcA) and UDP‐galacturonic acid (UDP‐GalA) via C4‐oxidation, 4‐keto‐intermediate rotation, and C4‐reduction. Here, Borg et al. examined the role of the substrate's carboxylate group in the enzymic mechanism by analyzing NADH‐dependent reduction
Annika J. E. Borg +2 more
wiley +1 more source
, 2017 One of the great lessons from the last half century of research on social networks is that relationships are constantly in flux. While much social network analysis focuses on static relationships between actors, there is also a rich tradition of work extending back to foundational studies in network science focused on the notion that network change is ...
Schaefer, David, Marcum, Christopher
openaire +4 more sources
The European Physical Journal B - Condensed Matter and Complex Systems, 2006 We present a model for the description of the evolution of contacts among individuals in a network. At each time step each individual is associated with a domain or neighborhood of fully connected agents.The dynamics of this changing neighborhood will later be translated into a situation where the links between individuals are also dynamic.
Marcelo N. Kuperman +2 more
openaire +3 more sources
Diffusion Dynamics on Multiplex Networks [PDF]
Physical Review Letters, 2013 6 Pages including supplemental material.
Sergio Gómez +7 more
openaire +8 more sources
FEBS Letters, EarlyView.B cells sense external mechanical forces and convert them into biochemical signals through mechanotransduction. Understanding how malignant B cells respond to physical stimuli represents a groundbreaking area of research. This review examines the key mechano‐related molecules and pathways in B lymphocytes, highlights the most relevant techniques to ...
Marta Sampietro +2 more
wiley +1 more source
DeepEye: Link prediction in dynamic networks based on non-negative matrix factorization
Big Data Mining and Analytics, 2018 A Non-negative Matrix Factorization (NMF)-based method is proposed to solve the link prediction problem in dynamic graphs. The method learns latent features from the temporal and topological structure of a dynamic network and can obtain higher prediction
N. Ibrahim +5 more
semanticscholar +1 more source
Smoothed Analysis of Dynamic Networks
, 2015 We generalize the technique of smoothed analysis to distributed algorithms in dynamic network models. Whereas standard smoothed analysis studies the impact of small random perturbations of input values on algorithm performance metrics, dynamic graph ...
A Das Sarma +7 more
core +1 more source
Evolutionary interplay between viruses and R‐loops
FEBS Letters, EarlyView.Viruses interact with specialized nucleic acid structures called R‐loops to influence host transcription, epigenetic states, latency, and immune evasion. This Perspective examines the roles of R‐loops in viral replication, integration, and silencing, and how viruses co‐opt or avoid these structures.
Zsolt Karányi +4 more
wiley +1 more source