دورية أكاديمية
A penalized inference approach to stochastic block modelling of community structure in the Italian Parliament
| العنوان: | A penalized inference approach to stochastic block modelling of community structure in the Italian Parliament |
|---|---|
| المؤلفون: | Wit, Ernst C. |
| المصدر: | Wit , E C 2018 , ' A penalized inference approach to stochastic block modelling of community structure in the Italian Parliament ' , Journal of the Royal Statistical Society. Series C: Applied Statistics , vol. 67 , no. 2 , pp. 355-369 . https://doi.org/10.1111/rssc.12234Test |
| سنة النشر: | 2018 |
| المجموعة: | University of Groningen research database |
| مصطلحات موضوعية: | Adaptive lasso, Bill cosponsorship, Community structure, Network, Penalized likelihood, Stochastic block model, EXPONENTIAL-FAMILY, ORACLE PROPERTIES, DIRECTED-GRAPHS, BLOCKMODELS, SELECTION, LIKELIHOOD, NETWORKS, LASSO |
| الوصف: | We analyse bill cosponsorship networks in the Italian Chamber of Deputies. In comparison with other parliaments, a distinguishing feature of the Chamber is the large number of political groups. Our analysis aims to infer the pattern of collaborations between these groups from data on bill cosponsorships. We propose an extension of stochastic block models for edge-valued graphs and derive measures of group productivity and of collaboration between political parties. As the model proposed encloses a large number of parameters, we pursue a penalized likelihood approach that enables us to infer a sparse reduced graph displaying collaborations between political parties. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| العلاقة: | https://research.rug.nl/en/publications/949900c1-d2cd-4b2c-ade3-51bc8dba21cfTest |
| DOI: | 10.1111/rssc.12234 |
| الإتاحة: | https://doi.org/10.1111/rssc.12234Test https://hdl.handle.net/11370/949900c1-d2cd-4b2c-ade3-51bc8dba21cfTest https://research.rug.nl/en/publications/949900c1-d2cd-4b2c-ade3-51bc8dba21cfTest https://pure.rug.nl/ws/files/54284356/Signorelli_et_al_2018_Journal_of_the_Royal_Statistical_Society_Series_C_Applied_Statistics_.pdfTest |
| حقوق: | info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.9C1D5BA5 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1111/rssc.12234 |
|---|