Print

Print


*****  To join INSNA, visit http://www.insna.org  *****

Colleagues,

I am interested in conducting simulations of networked agents.

In particular, I would like agents to be able to:
  - have wide variety of different states (say be able to take on a 
value from 1 to 100, integers)
  - update their states based on both interactions with other networked agents
  - update their states based on the results of draws from probability 
distributions

as well as, but less importantly:
  - have decision rules for when they should implement new connections 
or disconnect from other agents

Any recommendations?  I imagine doing this across a scale ranging 
from 20 agents to 10,000 networked agents, each having one to very 
many connections with other agents.

(Ideally, such a program would also be easy to use, easy to output 
the results for statistical analysis, and have great documentation, 
too.)

I appreciate your help.

  Jack


-- 
-=-=-=-=-=-=-=-=-=-=-=-=-=-
Theodore J. Iwashyna, M.D., Ph.D.

Division of Pulmonary and Critical Care
Department of Medicine
Hospital of the University of Pennsylvania

email: [log in to unmask]
-=-=-=-=-=-=-=-=-=-=-=-=-=-

_____________________________________________________________________
SOCNET is a service of INSNA, the professional association for social
network researchers (http://www.insna.org). To unsubscribe, send
an email message to [log in to unmask] containing the line
UNSUBSCRIBE SOCNET in the body of the message.