Modeling the distribution of co-authorships by paper
In the literature produced about Lotka’s law from 1922 to June 2010, the geometric distribution, truncated Poisson distribution, Poisson lognormal distribution, and the generalized inverse Gaussian Poisson distribution are studied to statistically model the number the authors who collaborate in the...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2011 |
| País: | México |
| Institución: | UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO |
| Repositorio: | Investigación Bibliotecológica: Archivonomía, Bibliotecología e Información |
| Idioma: | español |
| OAI Identifier: | oai:ojs.pkp.sfu.ca:article/27470 |
| Acceso en línea: | http://rev-ib.unam.mx/ib/index.php/ib/article/view/27470 |
| Access Level: | acceso abierto |
| Palabra clave: | Ley de Lotka Colaboración Distribución geométrica Poisson Lognormal Gauss Poisson Inverso Generalizado Poisson Truncada Bibliometría Cienciometría Infometría Lotka’s law Collaboration Generalized Inverse Gaussian Poisson Poisson lognormal Geometric Distribution Truncated Poisson Bibliometrics Cienciometrics Infometrics |
| Sumario: | In the literature produced about Lotka’s law from 1922 to June 2010, the geometric distribution, truncated Poisson distribution, Poisson lognormal distribution, and the generalized inverse Gaussian Poisson distribution are studied to statistically model the number the authors who collaborate in the publication of an article. It was found that the Poisson lognormal distribution more closely estimated the total value of documents, followed by the truncated Poisson model, the geometric distribution, and finally the generalized inverse Gaussian Poisson distribution. |
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