Irreversible Opinion Spreading on Scale-Free Networks

Physics – Condensed Matter – Disordered Systems and Neural Networks

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

9 pages, 10 figures; added results and discussion on uncorrelated scale-free networks; added references. To appear in PRE

Scientific paper

We study the dynamical and critical behavior of a model for irreversible opinion spreading on Barab\'asi-Albert (BA) scale-free networks by performing extensive Monte Carlo simulations. The opinion spreading within an inhomogeneous society is investigated by means of the magnetic Eden model, a nonequilibrium kinetic model for the growth of binary mixtures in contact with a thermal bath. The deposition dynamics, which is studied as a function of the degree of the occupied sites, shows evidence for the leading role played by hubs in the growth process. Systems of finite size grow either ordered or disordered, depending on the temperature. By means of standard finite-size scaling procedures, the effective order-disorder phase transitions are found to persist in the thermodynamic limit. This critical behavior, however, is absent in related equilibrium spin systems such as the Ising model on BA scale-free networks, which in the thermodynamic limit only displays a ferromagnetic phase. The dependence of these results on the degree exponent is also discussed for the case of uncorrelated scale-free networks.

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

Irreversible Opinion Spreading on Scale-Free Networks 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 Irreversible Opinion Spreading on Scale-Free Networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Irreversible Opinion Spreading on Scale-Free Networks will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-155576

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