Work

The network autocorrelation model using two-mode data: Affiliation exposure and potential bias in the autocorrelation parameter

Year: 2011

Type: article

Source: Social Networks

DOI: 10.1016/j.socnet.2011.06.001

Authors: Kayo Fujimoto, Chih-Ping Chou, Thomas W. Valente

Institution: University of Southern California

Language: English

Topic: Complex Network Analysis Techniques

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

Funders: National Institutes of Health, National Institute on Alcohol Abuse and Alcoholism, National Institute on Drug Abuse

Awards: G1355415574, G6466203144, Effects of Developmental Stage and Transitions on Drug Use Trajectories, G999179229

OpenAlex ID: W2059966686

FWCI: 2.7

Cites: 78

Cited by: 49

Related to: 10