A regression analysis of researchers social network metrics on their citation performance in a college of engineering
Two issues, (1) co-authorship is seen as the partial or rough indicator of scientific collaboration and (2) researchers collaboration network can be regarded as a proxy for their communication network, are addressed. A data collection method is used to obtain researchers both in-progress and completed collaborative outputs. The data is collected to analyze researchers communication and multiple collaborative output networks. A bivariate Poisson regression models are run to test the impact of social network metrics obtained from researchers multiple networks on their citation performance (h-index).
collaborative networks poisson regression social network analysis self-reported data citation-based research performance