Inferential network analysis / Skyler J. Cranmer (The Ohio State University); Bruce A. Desmarais (The Pennsylvania State University); Jason W. Morgan (The Ohio State University)

Von:

Cranmer, Skyler J [VerfasserIn]

Mitwirkende(r):

Resource type: Ressourcentyp: BuchBuchSprache: Englisch Reihen: Analytical methods for social researchVerlag: Cambridge ; New York, NY ; Port Melbourne ; New Delhi ; Singapore : Cambridge University Press, 2021Beschreibung: xxiii, 291 Seiten : DiagrammeISBN:

9781316610855
9781107158122

Schlagwörter:

DDC-Klassifikation:

RVK: RVK: MR 5900 | MB 2300LOC-Klassifikation:

DOI: DOI: 10.1017/978-1-316-66291-5Zusammenfassung: 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 analysesCall number: Grundsignatur: 2021 A 963PPN: PPN: 1727728645

Exemplare ( 1 )

Exemplare
Medientyp	Heimatbibliothek	Sammlung	Standort	Signatur	Status	Barcode
Freihandbestand ausleihbar	Bibliothek Campus Süd	soz 2.05	Lesesaal Geisteswissenschaften (LSG)	2021 A 963	Verfügbar	53870603090

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