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(New page: ==Gossip Project== '''Next project meeting 6: 30 Thursday''' ''Tuesday dinner meeting attendance: Mark Laidre, Anna Packenkina, Megan Olsen, Daniel Jones, Erika, Kaisa, Dan MacKinlay, S...)
 
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==Gossip Project==
==Gossip Project==


'''Next project meeting 6: 30 Thursday'''
'''Next project meeting 6: 30 Thursday after dinner'''




''Tuesday dinner meeting attendance: Mark Laidre, Anna Packenkina, Megan Olsen, Daniel Jones, Erika, Kaisa, Dan MacKinlay, Susanne Shultz''
''Tuesday dinner meeting: Mark Laidre, Anna Packenkina, Megan Olsen, Daniel Jones, Erika, Kaisa, Dan MacKinlay, Susanne Shultz''





Revision as of 01:59, 9 June 2010

Gossip Project

Next project meeting 6: 30 Thursday after dinner


Tuesday dinner meeting: Mark Laidre, Anna Packenkina, Megan Olsen, Daniel Jones, Erika, Kaisa, Dan MacKinlay, Susanne Shultz


Suggestions (SS): Could we have a stub with recommended papers either listed or uploaded? The following are my notes from the meeting, please comment/edit


Project concept

Modelling gossip in a network structure:
  1. Social rules/norms and norms
    1. Use sociology gossip models
      1. Reliability may be a function of number of informants (the more confirmation of a piece of gossip, the more reliable the information)
      2. Help from sociology literature????
    2. How does bogus information/informants (false/distorted gossip) affect optimal rules
    3. Extensions: influence of positive versus negative information, in group versus outgroup impacts
  2. Future possibilities?
    1. How does network structure impact on gossip dissemination?
    2. Parameterise models based on realistic networks
    3. How does gossip impact on stability of cooperation?
    4. Gossip and the evolution of language?

Model....

  1. Structure
    1. Graph versus agent-based models
    2. If there is no movement of ‘agents’, then it is probably better to use graphs.
    3. Network based model (use realistic parameters)
    4. Start with netlogo?
  2. Parameters
    1. Stable network
    2. Subgroup that has information about a third party
    3. Can propagate (at different levels)
    4. Can have reliable information
    5. Extensions/additional parameters: Secondary rumours, memory, trust, Hebbian learning (mentioned but not sure in what context)???
  3. Fitness functions (per interaction/click?- more from Mark?)
    1. Target
    2. Honest signals
    3. Bogus gossipers
    4. Listeners

Related issues/models

  1. Byzantine generals and traitors (could someone add a few key references)
  2. Emperical tests?
    1. Mafia Game (more information please)