scholarly journals Delayed information flow effect in economy systems. An ACP model study

2007 ◽  
Vol 382 (1) ◽  
pp. 179-186 ◽  
Author(s):  
Janusz Miśkiewicz ◽  
M. Ausloos
Keyword(s):  
Information Flow ◽  
Flow Effect ◽  
Delayed Information ◽  
Model Study

Decentralized stabilization for structurally balanced networks with similar nodes

2019 ◽  
Vol 33 (12) ◽  
pp. 1950146
Author(s):  
Zilin Gao ◽  
Yinhe Wang ◽  
Lili Zhang ◽  
Jiang Xiong ◽  
Wenli Wang
Keyword(s):  
Information Flow ◽  
Complex Dynamical Networks ◽  
Communication Delays ◽  
Stabilization Problem ◽  
Dynamical Networks ◽  
Structural Balance ◽  
Decentralized Stabilization ◽  
Delayed Information ◽  
Decentralized Controllers ◽  
Balanced Networks

This paper studies the stabilization problem of complex dynamical networks with nonlinear similar nodes and arbitrary finite communication delays, while the networks are structural balance. For the considered networks, the information flow is undirected or directed, and only locally delayed information can be used for each node. We derive that stabilization of structurally balanced networks can be realized by designing decentralized controllers, when the associated assumptions are true. Furthermore, the proposed stabilization schemes are also useful to the structurally balanced networks without communication delays. Finally, the simulations are presented to show the effectiveness of the method in this paper.

scholarly journals Optimal control with delayed information flow of systems driven by G-Brownian motion

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Francesca Biagini ◽  
Thilo Meyer-Brandis ◽  
Bernt Øksendal ◽  
Krzysztof Paczka
Keyword(s):  
Optimal Control ◽  
Brownian Motion ◽  
Information Flow ◽  
Delayed Information

Social Desirability in Personality Inventories

2014 ◽  
Vol 35 (3) ◽  
pp. 144-157 ◽  
Author(s):  
Martin Bäckström ◽  
Fredrik Björklund
Keyword(s):  
Social Desirability ◽  
Big Five ◽  
Work Performance ◽  
Factor Model ◽  
Five Factor Model ◽  
Peer Ratings ◽  
Personality Inventories ◽  
Model Study ◽  
The Difference ◽  
New Variables

The difference between evaluatively loaded and evaluatively neutralized five-factor inventory items was used to create new variables, one for each factor in the five-factor model. Study 1 showed that these variables can be represented in terms of a general evaluative factor which is related to social desirability measures and indicated that the factor may equally well be represented as separate from the Big Five as superordinate to them. Study 2 revealed an evaluative factor in self-ratings and peer ratings of the Big Five, but the evaluative factor in self-reports did not correlate with such a factor in ratings by peers. In Study 3 the evaluative factor contributed above the Big Five in predicting work performance, indicating a substance component. The results are discussed in relation to measurement issues and self-serving biases.

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