[Grey-Walter] [ info ] redes sociales

[Lluis]

companyeros y companyeras(espero que haya alguna ;)

aqui va una recoleccion de articulos de jass sobre redes sociales:

lo que sigue es interesante. Analisis de las redes sociales ante los 
cambios, segun sus diversas topologias: redes aleatorias, jerarquicas y 
redes de escala libre(las scale-free networks que comentaba en otro mensaje)
me ha llamado la atencion otra vez las scale-free networks. me hacen pensar 
sobre cuantas redes sociales se basaran en este modelo de red, su 
aplicabilidad, la robustez ante los cambios, si su jerarquia en forma de 
hubs que simplemente tienen mas conexiones es una forma de conectividad 
natural autoorganizada al estilo del liderazgo en proyectos de soft libre, 
que esta jerarquia(suponiendo que esta conectividad la veamos como 
jerarquia) debe ser analizada para ver sus pros y sus contras. Hasta que 
punto esta jerarquia es invisible, es una casi-no-jerarquia y por lo tanto 
no percibida como opresion, como la ley de la gravedad que se cumple con 
todo el peso de la ley, y sin embargo no existe ninguna Asociacion de 
Amigos en contra de la Gravedad, como decia una amiga mia.
Que las redes jerarquicas tradicionales aguantan muy mal los cambios 
repentinos y padecen una conectividad esclerotica y que quizas las redes de 
escalas de libre podrian ser un buen sustituto. y me hace pensar tambien en 
las redes aleatorias-asamblearias que quizas tambien podria ser interesante 
estudiar como evolucionan hacia modelos de escala libre... y como evitar 
que estos modelos de escala libre se vuelvan jerarquias opresoras... etc....

articulo recomendable, de lectura diafana:

Network Structures and Agreement in Social Network Simulations

Journal of Artificial Societies and Social Simulation vol. 5, no. 4
<http://jasss.soc.surrey.ac.uk/5/4/3.html>

Abstract
Networks are very evident in the physical world and particularly in social 
structures. One focus of research is on investigating the development and 
maintenance of social network structures. Social networks may be typically 
categorised as random, scale-free or hierarchical structures. A key 
research question is how the structure and parameters of a network affect 
the stability of opinion within the network. In a previous study, we 
examined the case for random network structures. In this work, we show how 
complex systems models can be used to investigate the effects of various 
parameters (including the number of layers and the number of links per 
node) in hierarchical and scale-free network structures. The models are 
used to investigate whether the network reaches a stable collective state, 
where the opinions of individuals remain constant, or an unstable state, 
where the opinions of individuals continue to change. Several important 
results emerge. One is that flat hierarchies, which possess few layers and 
many links per node, are more likely to be unstable than deeper 
hierarchies. Another is that regardless of the network topology, the number 
individuals whose opinion continues to change settles to a relatively 
stable level. We also demonstrate the inherent stability of scale-free 
networks. This work has implications for how network structures should be 
organized, in order to exploit stability or dynamic behaviour, in 
particular for political, organisational, social and educational contexts.

Keywords:
Asynchronous Update; Complex Systems.; Hierarchical Networks; Random 
Networks; Scale-free Networks; Social Networks; Social Simulations; Social 
Structures

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¿como afectan los desertores en un ambiente cooperativo tipo dilema del 
prisionero? ¿cuanta de robusta es una red cooperativa?
no se que tal esta la respuesta pero la pregunta que se hace en este 
articulo es sin duda es interesante.

The Integration of Defectors in a Cooperative Setting

Journal of Artificial Societies and Social Simulation vol. 5, no. 2
<http://jasss.soc.surrey.ac.uk/5/2/2.html>

Abstract
This paper describes a study of the robustness of cooperative conventions. 
We observe the effect of the invasion of non-cooperating subjects into a 
community adopting a cooperative convention. The convention is described by 
an indefinitely repeated prisoner-dilemma game. We check the effects on the 
robustness of the cooperating convention of two characteristics of the 
game, namely the size of the prisonner-dilemma groups and the 
"intelligence" of the players. The relevance for real-world problems is 
considered. We find that the "intelligence" of the players plays a crucial 
role in the way players learn to cooperate. The simulation program is 
written in SWARM (Java version).

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curioso articulo analisis-modelacion de una protesta social. seguro que les 
interesa a los de la CIA ;) a ver si con esto del echelon se enteran y se 
culturizan un poco ;)
interesante la idea de como afecta la percepcion local en este proceso de 
autoorganizacion de una protesta.

The Power of Commitment in Cooperative Social Action

Journal of Artificial Societies and Social Simulation vol. 5, no. 3
<http://jasss.soc.surrey.ac.uk/5/3/1.html>


Abstract
This paper presents an agent-based simulation model of protest activity. 
Agents are located in a two dimensional grid and have limited ability to 
observe the behavior of other agents in the grid. The model is used to 
explore questions inspired by research on different theories of individual 
motivation and the so-called theory of critical mass. The simulations 
describe individuals who support an effort to change a policy, but acting 
in support of that effort is costly. When the marginal effect of 
participation reaches a certain level, people are more likely to get 
involved. With certain configurations of parameter values, the simulations 
produce no sustained widespread participation in protest regardless of the 
presence of activists; under other conditions high levels of protest are 
usually sustained, even without activists. However, the addition of a 
surprisingly small group of activists radically changes the aggregate 
behavior of the model under some conditions, making high and sustained 
protest possible when it otherwise would not have been.

Keywords:
Critical Mass; Protest; Simulation; Social Movements; Swarm

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