Economic Competition and the Structure of the Competition Graph of Random Networks

Abstract As the competition graphs of trade networks begin to garner attention from economists, a better understanding of their expected structure is important for studying real-world trade networks and their competition graphs. This paper has two purposes. First, it serves to encourage the adoption of competition graphs as a tool for studying competition in economic networks. Second, it studies the structure and dynamics of competition graphs derived from random directed networks of the form $$\mathcal {D}(n,p)$$ . The results presented here characterize the probabilities that certain foundational structures exist in the competition graph of a random graph, and describe the density and connectivity of the competition graph of a random graph. Structural dynamics of these competition graphs are also studied. In particular, the results show that competition graphs are typically more dense than the networks they are derived from. Finally, these results are used to generate a discussion motivating the use of competition graphs in the economics literature.

Authors

Institutions

Publication Details

Journal
Networks and Spatial Economics
Published
2025-10-09
DOI
https://doi.org/10.1007/s11067-025-09706-x
Primary Topic
Game Theory and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Economic Competition and the Structure of the Competition Graph of Random Networks

Michael Cary
Networks and Spatial Economics
Game Theory and Applications
article

Economic Competition and the Structure of the Competition Graph of Random Networks

Michael Cary
article en

Abstract

Abstract As the competition graphs of trade networks begin to garner attention from economists, a better understanding of their expected structure is important for studying real-world trade networks and their competition graphs. This paper has two purposes. First, it serves to encourage the adoption of competition graphs as a tool for studying competition in economic networks. Second, it studies the structure and dynamics of competition graphs derived from random directed networks of the form $$\mathcal {D}(n,p)$$ . The results presented here characterize the probabilities that certain foundational structures exist in the competition graph of a random graph, and describe the density and connectivity of the competition graph of a random graph. Structural dynamics of these competition graphs are also studied. In particular, the results show that competition graphs are typically more dense than the networks they are derived from. Finally, these results are used to generate a discussion motivating the use of competition graphs in the economics literature.

Networks and Spatial Economics
Virginia Tech (US)
Openalex Percentile: Top 67%
Game Theory and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.