Cargando…
Parsing Social Network Survey Data from Hidden Populations Using Stochastic Context-Free Grammars
BACKGROUND: Human populations are structured by social networks, in which individuals tend to form relationships based on shared attributes. Certain attributes that are ambiguous, stigmatized or illegal can create a ÔhiddenÕ population, so-called because its members are difficult to identify. Many h...
Autores principales: | Poon, Art F. Y., Brouwer, Kimberly C., Strathdee, Steffanie A., Firestone-Cruz, Michelle, Lozada, Remedios M., Kosakovsky Pond, Sergei L., Heckathorn, Douglas D., Frost, Simon D. W. |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2734164/ https://www.ncbi.nlm.nih.gov/pubmed/19738904 http://dx.doi.org/10.1371/journal.pone.0006777 |
Ejemplares similares
-
When Grammar and Parsing Agree
por: Mancini, Simona
Publicado: (2018) -
Event parsing and the origins of grammar
por: Zuberbühler, Klaus
Publicado: (2021) -
Research on the Top-Down Parsing Method for Context-Sensitive Graph Grammars
por: Wang, Yi, et al.
Publicado: (2015) -
Parsing with Perl 6 regexes and grammars: a recursive descent into parsing
por: Lenz, Moritz
Publicado: (2017) -
Respondent-Driven Sampling of Injection Drug Users in Two U.S.–Mexico Border Cities: Recruitment Dynamics and Impact on Estimates of HIV and Syphilis Prevalence
por: Frost, Simon D. W., et al.
Publicado: (2006)