I'm considering the use of social network simulation to evaluate different theories that effect information diffusion as a subset of transactive memory systems (these systems are used as a meta-dictionary - telling people (Individuals, groups, organizations, etc) where to find expertise...They also have a role in decision making when a "pattern" is detected a relatively quick decision is made...
You may structure this work from the perspective of an Agent Based Model (ABM)). This allows any statistical granularity for human individuals and groupings, and simulations perform well with social links and networks described.
Renaud, Thanks very much for your response. Can you recommend a particular Agent-based methodology and/or a simulation software package. So many of them are focused on creating manufacturing and logistics models...jj
Dear Peter de Kam,
I would suggest you try with attached paper.
Also, in order to agent-based simulation you can try with the following addresses:
http://www.simsesam.de/
https://gama-platform.github.io/
Shideh Saraeian Thanks very much! It was just enough and just in time!
>> ... telling people (Individuals, groups, organizations, etc) where to find expertise
Seems like an easy technological solution, but it is a much harder sociological solution! Strangers don't help strangers for various reasons, including their bosses or lack of sufficient context, or ... etc. We have worked with many organizations looking to share knowledge/expertise. It is a long process (most of it non-IT) and the best place to start is with an "as-is" map of who-goes-to-whom for info/knowledge/expertise.
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