Eintrag weiter verarbeiten
Analysis of the Formation of the Structure of Social Networks by Using Latent Space Models for Ranked Dynamic Networks
Gespeichert in:
| Zeitschriftentitel: | Journal of the Royal Statistical Society Series C: Applied Statistics |
|---|---|
| Personen und Körperschaften: | , |
| In: | Journal of the Royal Statistical Society Series C: Applied Statistics, 64, 2015, 4, S. 611-633 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Oxford University Press (OUP)
|
| Schlagwörter: |
| author_facet |
Sewell, Daniel K. Chen, Yuguo Sewell, Daniel K. Chen, Yuguo |
|---|---|
| author |
Sewell, Daniel K. Chen, Yuguo |
| spellingShingle |
Sewell, Daniel K. Chen, Yuguo Journal of the Royal Statistical Society Series C: Applied Statistics Analysis of the Formation of the Structure of Social Networks by Using Latent Space Models for Ranked Dynamic Networks Statistics, Probability and Uncertainty Statistics and Probability |
| author_sort |
sewell, daniel k. |
| spelling |
Sewell, Daniel K. Chen, Yuguo 0035-9254 1467-9876 Oxford University Press (OUP) Statistics, Probability and Uncertainty Statistics and Probability http://dx.doi.org/10.1111/rssc.12093 <jats:title>Summary</jats:title><jats:p>The formation of social networks and the evolution of their structures have been of interest to researchers for many decades. We wish to answer questions about network stability, group formation and popularity effects. We propose a latent space model for ranked dynamic networks that can be used to frame and answer these questions intuitively. The well-known data collected by Newcomb in the 1950s are very well suited to analyse the formation of a social network. We applied our model to these data to investigate the network stability, what groupings emerge and when they emerge, and how individual popularity is associated with individual stability.</jats:p> Analysis of the Formation of the Structure of Social Networks by Using Latent Space Models for Ranked Dynamic Networks Journal of the Royal Statistical Society Series C: Applied Statistics |
| doi_str_mv |
10.1111/rssc.12093 |
| facet_avail |
Online |
| finc_class_facet |
Mathematik |
| format |
ElectronicArticle |
| fullrecord |
blob:ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTExMS9yc3NjLjEyMDkz |
| id |
ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTExMS9yc3NjLjEyMDkz |
| institution |
DE-D275 DE-Bn3 DE-Brt1 DE-D161 DE-Gla1 DE-Zi4 DE-15 DE-Pl11 DE-Rs1 DE-105 DE-14 DE-Ch1 DE-L229 |
| imprint |
Oxford University Press (OUP), 2015 |
| imprint_str_mv |
Oxford University Press (OUP), 2015 |
| issn |
0035-9254 1467-9876 |
| issn_str_mv |
0035-9254 1467-9876 |
| language |
English |
| mega_collection |
Oxford University Press (OUP) (CrossRef) |
| match_str |
sewell2015analysisoftheformationofthestructureofsocialnetworksbyusinglatentspacemodelsforrankeddynamicnetworks |
| publishDateSort |
2015 |
| publisher |
Oxford University Press (OUP) |
| recordtype |
ai |
| record_format |
ai |
| series |
Journal of the Royal Statistical Society Series C: Applied Statistics |
| source_id |
49 |
| title |
Analysis of the Formation of the Structure of Social Networks by Using Latent Space Models for Ranked Dynamic Networks |
| title_unstemmed |
Analysis of the Formation of the Structure of Social Networks by Using Latent Space Models for Ranked Dynamic Networks |
| title_full |
Analysis of the Formation of the Structure of Social Networks by Using Latent Space Models for Ranked Dynamic Networks |
| title_fullStr |
Analysis of the Formation of the Structure of Social Networks by Using Latent Space Models for Ranked Dynamic Networks |
| title_full_unstemmed |
Analysis of the Formation of the Structure of Social Networks by Using Latent Space Models for Ranked Dynamic Networks |
| title_short |
Analysis of the Formation of the Structure of Social Networks by Using Latent Space Models for Ranked Dynamic Networks |
| title_sort |
analysis of the formation of the structure of social networks by using latent space models for ranked dynamic networks |
| topic |
Statistics, Probability and Uncertainty Statistics and Probability |
| url |
http://dx.doi.org/10.1111/rssc.12093 |
| publishDate |
2015 |
| physical |
611-633 |
| description |
<jats:title>Summary</jats:title><jats:p>The formation of social networks and the evolution of their structures have been of interest to researchers for many decades. We wish to answer questions about network stability, group formation and popularity effects. We propose a latent space model for ranked dynamic networks that can be used to frame and answer these questions intuitively. The well-known data collected by Newcomb in the 1950s are very well suited to analyse the formation of a social network. We applied our model to these data to investigate the network stability, what groupings emerge and when they emerge, and how individual popularity is associated with individual stability.</jats:p> |
| container_issue |
4 |
| container_start_page |
611 |
| container_title |
Journal of the Royal Statistical Society Series C: Applied Statistics |
| container_volume |
64 |
| format_de105 |
Article, E-Article |
| format_de14 |
Article, E-Article |
| format_de15 |
Article, E-Article |
| format_de520 |
Article, E-Article |
| format_de540 |
Article, E-Article |
| format_dech1 |
Article, E-Article |
| format_ded117 |
Article, E-Article |
| format_degla1 |
E-Article |
| format_del152 |
Buch |
| format_del189 |
Article, E-Article |
| format_dezi4 |
Article |
| format_dezwi2 |
Article, E-Article |
| format_finc |
Article, E-Article |
| format_nrw |
Article, E-Article |
| _version_ |
1792332226170454021 |
| geogr_code |
not assigned |
| last_indexed |
2024-03-01T13:53:27.178Z |
| geogr_code_person |
not assigned |
| openURL |
url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fvufind.svn.sourceforge.net%3Agenerator&rft.title=Analysis+of+the+Formation+of+the+Structure+of+Social+Networks+by+Using+Latent+Space+Models+for+Ranked+Dynamic+Networks&rft.date=2015-08-01&genre=article&issn=1467-9876&volume=64&issue=4&spage=611&epage=633&pages=611-633&jtitle=Journal+of+the+Royal+Statistical+Society+Series+C%3A+Applied+Statistics&atitle=Analysis+of+the+Formation+of+the+Structure+of+Social+Networks+by+Using+Latent+Space+Models+for+Ranked+Dynamic+Networks&aulast=Chen&aufirst=Yuguo&rft_id=info%3Adoi%2F10.1111%2Frssc.12093&rft.language%5B0%5D=eng |
| SOLR | |
| _version_ | 1792332226170454021 |
| author | Sewell, Daniel K., Chen, Yuguo |
| author_facet | Sewell, Daniel K., Chen, Yuguo, Sewell, Daniel K., Chen, Yuguo |
| author_sort | sewell, daniel k. |
| container_issue | 4 |
| container_start_page | 611 |
| container_title | Journal of the Royal Statistical Society Series C: Applied Statistics |
| container_volume | 64 |
| description | <jats:title>Summary</jats:title><jats:p>The formation of social networks and the evolution of their structures have been of interest to researchers for many decades. We wish to answer questions about network stability, group formation and popularity effects. We propose a latent space model for ranked dynamic networks that can be used to frame and answer these questions intuitively. The well-known data collected by Newcomb in the 1950s are very well suited to analyse the formation of a social network. We applied our model to these data to investigate the network stability, what groupings emerge and when they emerge, and how individual popularity is associated with individual stability.</jats:p> |
| doi_str_mv | 10.1111/rssc.12093 |
| facet_avail | Online |
| finc_class_facet | Mathematik |
| format | ElectronicArticle |
| format_de105 | Article, E-Article |
| format_de14 | Article, E-Article |
| format_de15 | Article, E-Article |
| format_de520 | Article, E-Article |
| format_de540 | Article, E-Article |
| format_dech1 | Article, E-Article |
| format_ded117 | Article, E-Article |
| format_degla1 | E-Article |
| format_del152 | Buch |
| format_del189 | Article, E-Article |
| format_dezi4 | Article |
| format_dezwi2 | Article, E-Article |
| format_finc | Article, E-Article |
| format_nrw | Article, E-Article |
| geogr_code | not assigned |
| geogr_code_person | not assigned |
| id | ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTExMS9yc3NjLjEyMDkz |
| imprint | Oxford University Press (OUP), 2015 |
| imprint_str_mv | Oxford University Press (OUP), 2015 |
| institution | DE-D275, DE-Bn3, DE-Brt1, DE-D161, DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1, DE-105, DE-14, DE-Ch1, DE-L229 |
| issn | 0035-9254, 1467-9876 |
| issn_str_mv | 0035-9254, 1467-9876 |
| language | English |
| last_indexed | 2024-03-01T13:53:27.178Z |
| match_str | sewell2015analysisoftheformationofthestructureofsocialnetworksbyusinglatentspacemodelsforrankeddynamicnetworks |
| mega_collection | Oxford University Press (OUP) (CrossRef) |
| physical | 611-633 |
| publishDate | 2015 |
| publishDateSort | 2015 |
| publisher | Oxford University Press (OUP) |
| record_format | ai |
| recordtype | ai |
| series | Journal of the Royal Statistical Society Series C: Applied Statistics |
| source_id | 49 |
| spelling | Sewell, Daniel K. Chen, Yuguo 0035-9254 1467-9876 Oxford University Press (OUP) Statistics, Probability and Uncertainty Statistics and Probability http://dx.doi.org/10.1111/rssc.12093 <jats:title>Summary</jats:title><jats:p>The formation of social networks and the evolution of their structures have been of interest to researchers for many decades. We wish to answer questions about network stability, group formation and popularity effects. We propose a latent space model for ranked dynamic networks that can be used to frame and answer these questions intuitively. The well-known data collected by Newcomb in the 1950s are very well suited to analyse the formation of a social network. We applied our model to these data to investigate the network stability, what groupings emerge and when they emerge, and how individual popularity is associated with individual stability.</jats:p> Analysis of the Formation of the Structure of Social Networks by Using Latent Space Models for Ranked Dynamic Networks Journal of the Royal Statistical Society Series C: Applied Statistics |
| spellingShingle | Sewell, Daniel K., Chen, Yuguo, Journal of the Royal Statistical Society Series C: Applied Statistics, Analysis of the Formation of the Structure of Social Networks by Using Latent Space Models for Ranked Dynamic Networks, Statistics, Probability and Uncertainty, Statistics and Probability |
| title | Analysis of the Formation of the Structure of Social Networks by Using Latent Space Models for Ranked Dynamic Networks |
| title_full | Analysis of the Formation of the Structure of Social Networks by Using Latent Space Models for Ranked Dynamic Networks |
| title_fullStr | Analysis of the Formation of the Structure of Social Networks by Using Latent Space Models for Ranked Dynamic Networks |
| title_full_unstemmed | Analysis of the Formation of the Structure of Social Networks by Using Latent Space Models for Ranked Dynamic Networks |
| title_short | Analysis of the Formation of the Structure of Social Networks by Using Latent Space Models for Ranked Dynamic Networks |
| title_sort | analysis of the formation of the structure of social networks by using latent space models for ranked dynamic networks |
| title_unstemmed | Analysis of the Formation of the Structure of Social Networks by Using Latent Space Models for Ranked Dynamic Networks |
| topic | Statistics, Probability and Uncertainty, Statistics and Probability |
| url | http://dx.doi.org/10.1111/rssc.12093 |