Information sharing and sorting in a community.
Phys Rev E Stat Nonlin Soft Matter Phys
; 87(6): 062808, 2013 Jun.
Article
en En
| MEDLINE
| ID: mdl-23848730
ABSTRACT
We present the results of a detailed numerical study of a model for the sharing and sorting of information in a community consisting of a large number of agents. The information gathering takes place in a sequence of mutual bipartite interactions where randomly selected pairs of agents communicate with each other to enhance their knowledge and sort out the common information. Although our model is less restricted compared to the well-established naming game, the numerical results strongly indicate that the whole set of exponents characterizing this model are different from those of the naming game and they assume nontrivial values. Finally, it appears that in analogy to the emergence of clusters in the phenomenon of percolation, one can define clusters of agents here having the same information. We have studied in detail the growth of the largest cluster in this article and performed its finite-size scaling analysis.
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Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Conducta Social
/
Algoritmos
/
Almacenamiento y Recuperación de la Información
/
Difusión de la Información
/
Teoría del Juego
/
Modelos Teóricos
Idioma:
En
Revista:
Phys Rev E Stat Nonlin Soft Matter Phys
Asunto de la revista:
BIOFISICA
/
FISIOLOGIA
Año:
2013
Tipo del documento:
Article
País de afiliación:
India