A statistical mechanics approach to Granovetter theory

Physics – Physics and Society

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

In this paper we try to bridge breakthroughs in quantitative sociology/econometrics pioneered during the last decades by Mac Fadden, Brock-Durlauf, Granovetter and Watts-Strogats through introducing a minimal model able to reproduce essentially all the features of social behavior highlighted by these authors. Our model relies on a pairwise Hamiltonian for decision maker interactions which naturally extends the multi-populations approaches by shifting and biasing the pattern definitions of an Hopfield model of neural networks. Once introduced, the model is investigated trough graph theory (to recover Granovetter and Watts-Strogats results) and statistical mechanics (to recover Mac-Fadden and Brock-Durlauf results). Due to internal symmetries of our model, the latter is obtained as the relaxation of a proper Markov process, allowing even to study its out of equilibrium properties. The method used to solve its equilibrium is an adaptation of the Hamilton-Jacobi technique recently introduced by Guerra in the spin glass scenario and the picture obtained is the following: just by assuming that the larger the amount of similarities among decision makers, the stronger their relative influence, this is enough to explain both the different role of strong and weak ties in the social network as well as its small world properties. As a result, imitative interaction strengths seem essentially a robust request (enough to break the gauge symmetry in the couplings), furthermore, this naturally leads to a discrete choice modelization when dealing with the external influences and to imitative behavior a la Curie-Weiss as the one introduced by Brock and Durlauf.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

A statistical mechanics approach to Granovetter theory does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with A statistical mechanics approach to Granovetter theory, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A statistical mechanics approach to Granovetter theory will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-168509

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.