Inferential network analysis:
This unique textbook provides an introduction to statistical inference with network data. The authors present a self-contained derivation and mathematical formulation of methods, review examples, and real-world applications, as well as provide data and code in the R environment that can be customise...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cambridge [und fünf weitere]
Cambridge University Press
2021
|
| Schriftenreihe: | Analytical methods for social research
|
| Schlagworte: | |
| Zusammenfassung: | This unique textbook provides an introduction to statistical inference with network data. The authors present a self-contained derivation and mathematical formulation of methods, review examples, and real-world applications, as well as provide data and code in the R environment that can be customised. Inferential network analysis transcends fields, and examples from across the social sciences are discussed (from management to electoral politics), which can be adapted and applied to a panorama of research. From scholars to undergraduates, spanning the social, mathematical, computational and physical sciences, readers will be introduced to inferential network models and their extensions. The exponential random graph model and latent space network model are paid particular attention and, fundamentally, the reader is given the tools to independently conduct their own analyses |
| Beschreibung: | xxiii, 291 Seiten Diagramme |
| ISBN: | 9781107158122 9781316610855 |
Internformat
MARC
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| 245 | 1 | 0 | |a Inferential network analysis |c Skyler J. Cranmer (The Ohio State University), Bruce A. Desmarais (The Pennsylvania State University), Jason W. Morgan (The Ohio State University) |
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| 490 | 0 | |a Analytical methods for social research | |
| 520 | 3 | |a This unique textbook provides an introduction to statistical inference with network data. The authors present a self-contained derivation and mathematical formulation of methods, review examples, and real-world applications, as well as provide data and code in the R environment that can be customised. Inferential network analysis transcends fields, and examples from across the social sciences are discussed (from management to electoral politics), which can be adapted and applied to a panorama of research. From scholars to undergraduates, spanning the social, mathematical, computational and physical sciences, readers will be introduced to inferential network models and their extensions. The exponential random graph model and latent space network model are paid particular attention and, fundamentally, the reader is given the tools to independently conduct their own analyses | |
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Datensatz im Suchindex
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| author | Cranmer, Skyler J. Desmarais, Bruce A. Morgan, Jason W. |
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| author_sort | Cranmer, Skyler J. |
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| building | Verbundindex |
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| dewey-ones | 300 - Social sciences |
| dewey-raw | 300 |
| dewey-search | 300 |
| dewey-sort | 3300 |
| dewey-tens | 300 - Social sciences |
| discipline | Soziologie Politologie |
| discipline_str_mv | Soziologie Politologie |
| format | Book |
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| id | DE-604.BV047028296 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:01:34Z |
| indexdate | 2024-07-10T09:00:34Z |
| institution | BVB |
| isbn | 9781107158122 9781316610855 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032435631 |
| oclc_num | 1226646420 |
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| physical | xxiii, 291 Seiten Diagramme |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | Cambridge University Press |
| record_format | marc |
| series2 | Analytical methods for social research |
| spelling | Cranmer, Skyler J. Verfasser (DE-588)119278992X aut Inferential network analysis Skyler J. Cranmer (The Ohio State University), Bruce A. Desmarais (The Pennsylvania State University), Jason W. Morgan (The Ohio State University) Cambridge [und fünf weitere] Cambridge University Press 2021 xxiii, 291 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier Analytical methods for social research This unique textbook provides an introduction to statistical inference with network data. The authors present a self-contained derivation and mathematical formulation of methods, review examples, and real-world applications, as well as provide data and code in the R environment that can be customised. Inferential network analysis transcends fields, and examples from across the social sciences are discussed (from management to electoral politics), which can be adapted and applied to a panorama of research. From scholars to undergraduates, spanning the social, mathematical, computational and physical sciences, readers will be introduced to inferential network models and their extensions. The exponential random graph model and latent space network model are paid particular attention and, fundamentally, the reader is given the tools to independently conduct their own analyses Sozialwissenschaften (DE-588)4055916-6 gnd rswk-swf Netzwerkanalyse Soziologie (DE-588)4205975-6 gnd rswk-swf Forschungsmethode (DE-588)4155046-8 gnd rswk-swf Inferenzstatistik (DE-588)4247120-5 gnd rswk-swf Sozialwissenschaften (DE-588)4055916-6 s Forschungsmethode (DE-588)4155046-8 s Inferenzstatistik (DE-588)4247120-5 s Netzwerkanalyse Soziologie (DE-588)4205975-6 s DE-604 Desmarais, Bruce A. Verfasser (DE-588)1227411626 aut Morgan, Jason W. Verfasser (DE-588)1227413742 aut |
| spellingShingle | Cranmer, Skyler J. Desmarais, Bruce A. Morgan, Jason W. Inferential network analysis Sozialwissenschaften (DE-588)4055916-6 gnd Netzwerkanalyse Soziologie (DE-588)4205975-6 gnd Forschungsmethode (DE-588)4155046-8 gnd Inferenzstatistik (DE-588)4247120-5 gnd |
| subject_GND | (DE-588)4055916-6 (DE-588)4205975-6 (DE-588)4155046-8 (DE-588)4247120-5 |
| title | Inferential network analysis |
| title_auth | Inferential network analysis |
| title_exact_search | Inferential network analysis |
| title_exact_search_txtP | Inferential network analysis |
| title_full | Inferential network analysis Skyler J. Cranmer (The Ohio State University), Bruce A. Desmarais (The Pennsylvania State University), Jason W. Morgan (The Ohio State University) |
| title_fullStr | Inferential network analysis Skyler J. Cranmer (The Ohio State University), Bruce A. Desmarais (The Pennsylvania State University), Jason W. Morgan (The Ohio State University) |
| title_full_unstemmed | Inferential network analysis Skyler J. Cranmer (The Ohio State University), Bruce A. Desmarais (The Pennsylvania State University), Jason W. Morgan (The Ohio State University) |
| title_short | Inferential network analysis |
| title_sort | inferential network analysis |
| topic | Sozialwissenschaften (DE-588)4055916-6 gnd Netzwerkanalyse Soziologie (DE-588)4205975-6 gnd Forschungsmethode (DE-588)4155046-8 gnd Inferenzstatistik (DE-588)4247120-5 gnd |
| topic_facet | Sozialwissenschaften Netzwerkanalyse Soziologie Forschungsmethode Inferenzstatistik |
| work_keys_str_mv | AT cranmerskylerj inferentialnetworkanalysis AT desmaraisbrucea inferentialnetworkanalysis AT morganjasonw inferentialnetworkanalysis |