Multiple complex networks emerging from individual interactions

Physics – Biological Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

26 pages, 14 figures. A working manuscript, comments welcomed

Scientific paper

Systems composed of distinct complex networks are present in many real-world environments, from society to ecological systems. In the present paper, we propose a network model obtained as a consequence of interactions between two species (e.g. predator and prey). Fields are produced and sensed by the individuals, defining spatio-temporal patterns which are strongly affected by the attraction intensity between individuals from the same species. The dynamical evolution of the system, including the change of individuals between different clusters, is investigated by building two complex networks having the individuals as nodes. In the first network, the edge weight is given by the Euclidean distance between every two individuals and, in the case of the second network, by the amount of time two individuals stay close one another. A third network is obtained from the two previous networks whose nodes correspond to the spatially congruent groups. The system evolves to an organized state where Gaussian and scale-free-like strength distributions emerge, respectively, in the predator and prey networks. Such a different connectivity is mainly a consequence of preys elimination. Some configurations favor the survival of preys or higher efficiency of predator activity.

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

Multiple complex networks emerging from individual interactions 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 Multiple complex networks emerging from individual interactions, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Multiple complex networks emerging from individual interactions will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-169617

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