Name
Title | ||
|---|---|---|
An agent-based random-utility-maximization model to generate social networks with transitivity in geographic space. |
Abstract | ||
|---|---|---|
•We develop a stochastic agent-based model to generate social networks in geographic space.•The model is consistent with random-utility-maximizing (RUM) behavior of agents.•The model can be estimated using likelihood estimation and is scalable to large populations.•An application demonstrates how the model can be estimated and used to generate a social network.•The model is able to reproduce homophily, spatial proximity and transitivity tendencies. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.socnet.2013.05.002 | Social Networks |
Keywords | Field | DocType |
Social network generation,Random utility maximization,Spatial choice modeling,Agent-based modeling,Likelihood estimation | Social psychology,Population,Social network,Friendship,Homophily,Spacetime,Artificial intelligence,Degree distribution,Cluster analysis,Mathematics,Transitive relation | Journal |
Volume | Issue | ISSN |
35 | 3 | 0378-8733 |
Citations | PageRank | References |
5 | 0.56 | 14 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Theo A. Arentze | 1 | 87 | 13.60 |
| Matthias Kowald | 2 | 5 | 0.56 |
| Kay W. Axhausen | 3 | 72 | 12.16 |