Tipping Diffusivity in Information Accumulation Systems: More Links, Less Consensus

Physics – Physics and Society

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

17 pages, 4 figures, readability improved

Scientific paper

10.1088/1742-5468/2010/06/P06005

Assume two different communities each of which maintain their respective opinions mainly because of the weak interaction between the two communities. In such a case, it is an interesting problem to find the necessary strength of inter-community interaction in order for the two communities to reach a consensus. In this paper, the Information Accumulation System (IAS) model is applied to investigate the problem. With the application of the IAS model, the opinion dynamics of the two-community problem is found to belong to a wider class of two-species problems appearing in population dynamics or in competition of two languages, for all of which the governing equations can be described in terms of coupled logistic maps. Tipping diffusivity is defined as the maximal inter-community interaction that the two communities can stay in different opinions. For a problem with simple community structure and homogeneous individuals, the tipping diffusivity is calculated theoretically. As a conclusion of the paper, the convergence of the two communities to the same value is less possible the more overall interaction, intra-community and inter-community, takes place. This implies, for example, that the increase in the interaction between individuals caused by the development of modern communication tools, such as facebook and twitter, does not necessarily improve the tendency towards global convergence between different communities. If the number of internal links increases by a factor, the number of inter-community links must be increased by an even higher factor, in order for consensus to be the only stable attractor.

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

Tipping Diffusivity in Information Accumulation Systems: More Links, Less Consensus 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 Tipping Diffusivity in Information Accumulation Systems: More Links, Less Consensus, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Tipping Diffusivity in Information Accumulation Systems: More Links, Less Consensus will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-296166

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