8 research outputs found
Collective Charge Fluctuations in Single-Electron Processes on Nano-Networks
Using numerical modeling we study emergence of structure and
structure-related nonlinear conduction properties in the self-assembled
nanoparticle films. Particularly, we show how different nanoparticle networks
emerge within assembly processes with molecular bio-recognition binding. We
then simulate the charge transport under voltage bias via single-electron
tunnelings through the junctions between nanoparticles on such type of
networks. We show how the regular nanoparticle array and topologically
inhomogeneous nanonetworks affect the charge transport. We find long-range
correlations in the time series of charge fluctuation at individual
nanoparticles and of flow along the junctions within the network. These
correlations explain the occurrence of a large nonlinearity in the simulated
and experimentally measured current-voltage characteristics and non-Gaussian
fluctuations of the current at the electrode.Comment: 10 pages, 7 figure
Collective emotion dynamics in chats with agents, moderators and Bots
Using agent-directed simulations, we investigate fluctuations in the
collective emotional states on a chat network where agents interchange messages
with a fixed number of moderators and emotional Bot. To design a realistic chat
system, the interaction rules and some statistical parameters, as well as the
agent's attributes, are inferred from the empirical chat channel
\texttt{Ubuntu}. In the simulations, the Bot's emotion is fixed; the moderators
tune the level of its activity by passing a fraction of messages to
the Bot. At , the collective emotional state matching the
Bot's emotion polarity gradually arises; the average growth rate of the
dominant emotional charge serves as an order parameter. Due to self-organizing
effects, the collective dynamics is more explosive when positive emotions arise
by positive Bot than the onset of negative emotions in the presence of negative
Bot at the same . Furthermore, when the emotions matching the Bot's
emotion polarity are spread over the system, the underlying fractal processes
exhibit higher persistence and stronger clustering of events than the processes
spreading of emotion polarity opposite to the Bot's emotion. On the other hand,
the relaxation dynamics is controlled by the external noise; the related
nonextensive parameter, estimated from the statistics of returns, is virtually
independent of the Bot's activity level and emotion contents.Comment: 12 pages, 7 figure