pith. sign in

arxiv: 0901.2381 · v1 · pith:SOZF2RUKnew · submitted 2009-01-16 · 💱 q-fin.GN · q-fin.ST

Visualizing a large-scale structure of production network by N-body simulation

classification 💱 q-fin.GN q-fin.ST
keywords methodstructurecommunitylayoutmillionn-bodynetworkpossible
0
0 comments X
read the original abstract

Our recent study of a nation-wide production network uncovered a community structure, namely how firms are connected by supplier-customer links into tightly-knit groups with high density in intra-groups and with lower connectivity in inter-groups. Here we propose a method to visualize the community structure by a graph layout based on a physical analogy. The layout can be calculated in a practical computation-time and is possible to be accelerated by a special-purpose device of GRAPE (gravity pipeline) developed for astrophysical N-body simulation. We show that the method successfully identifies the communities in a hierarchical way by applying it to the manufacturing sector comprising tenth million nodes and a half million edges. In addition, we discuss several limitations of this method, and propose a possible way to avoid all those problems.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.