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Statistical Analysis of Network Data
Methods and Models
Taschenbuch von Eric D. Kolaczyk
Sprache: Englisch

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Beschreibung
In recent years there has been an explosion of network data ¿ that is, measu- ments that are either of or from a system conceptualized as a network ¿ from se- ingly all corners of science. The combination of an increasingly pervasive interest in scienti c analysis at a systems level and the ever-growing capabilities for hi- throughput data collection in various elds has fueled this trend. Researchers from biology and bioinformatics to physics, from computer science to the information sciences, and from economics to sociology are more and more engaged in the c- lection and statistical analysis of data from a network-centric perspective. Accordingly, the contributions to statistical methods and modeling in this area have come from a similarly broad spectrum of areas, often independently of each other. Many books already have been written addressing network data and network problems in speci c individual disciplines. However, there is at present no single book that provides a modern treatment of a core body of knowledge for statistical analysis of network data that cuts across the various disciplines and is organized rather according to a statistical taxonomy of tasks and techniques. This book seeks to ll that gap and, as such, it aims to contribute to a growing trend in recent years to facilitate the exchange of knowledge across the pre-existing boundaries between those disciplines that play a role in what is coming to be called ¿network science.
In recent years there has been an explosion of network data ¿ that is, measu- ments that are either of or from a system conceptualized as a network ¿ from se- ingly all corners of science. The combination of an increasingly pervasive interest in scienti c analysis at a systems level and the ever-growing capabilities for hi- throughput data collection in various elds has fueled this trend. Researchers from biology and bioinformatics to physics, from computer science to the information sciences, and from economics to sociology are more and more engaged in the c- lection and statistical analysis of data from a network-centric perspective. Accordingly, the contributions to statistical methods and modeling in this area have come from a similarly broad spectrum of areas, often independently of each other. Many books already have been written addressing network data and network problems in speci c individual disciplines. However, there is at present no single book that provides a modern treatment of a core body of knowledge for statistical analysis of network data that cuts across the various disciplines and is organized rather according to a statistical taxonomy of tasks and techniques. This book seeks to ll that gap and, as such, it aims to contribute to a growing trend in recent years to facilitate the exchange of knowledge across the pre-existing boundaries between those disciplines that play a role in what is coming to be called ¿network science.
Zusammenfassung
This book is useful both to people in the statistics community and in the various communities in which networks currently are heavily used, such as parts of biology, computer science, engineering, physics, and sociology.
Inhaltsverzeichnis
and Overview.- Preliminaries.- Mapping Networks.- Descriptive Analysis of Network Graph Characteristics.- Sampling and Estimation in Network Graphs.- Models for Network Graphs.- Network Topology Inference.- Modeling and Prediction for Processes on Network Graphs.- Analysis of Network Flow Data.- Graphical Models.
Details
Erscheinungsjahr: 2010
Fachbereich: Datenkommunikation, Netze & Mailboxen
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 400
Reihe: Springer Series in Statistics
Inhalt: xii
386 S.
ISBN-13: 9781441927767
ISBN-10: 144192776X
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Kolaczyk, Eric D.
Auflage: Softcover reprint of hardcover 1st ed. 2009
Hersteller: Springer New York
Springer US, New York, N.Y.
Springer Series in Statistics
Maße: 235 x 155 x 22 mm
Von/Mit: Eric D. Kolaczyk
Erscheinungsdatum: 06.12.2010
Gewicht: 0,604 kg
preigu-id: 107152430
Zusammenfassung
This book is useful both to people in the statistics community and in the various communities in which networks currently are heavily used, such as parts of biology, computer science, engineering, physics, and sociology.
Inhaltsverzeichnis
and Overview.- Preliminaries.- Mapping Networks.- Descriptive Analysis of Network Graph Characteristics.- Sampling and Estimation in Network Graphs.- Models for Network Graphs.- Network Topology Inference.- Modeling and Prediction for Processes on Network Graphs.- Analysis of Network Flow Data.- Graphical Models.
Details
Erscheinungsjahr: 2010
Fachbereich: Datenkommunikation, Netze & Mailboxen
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 400
Reihe: Springer Series in Statistics
Inhalt: xii
386 S.
ISBN-13: 9781441927767
ISBN-10: 144192776X
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Kolaczyk, Eric D.
Auflage: Softcover reprint of hardcover 1st ed. 2009
Hersteller: Springer New York
Springer US, New York, N.Y.
Springer Series in Statistics
Maße: 235 x 155 x 22 mm
Von/Mit: Eric D. Kolaczyk
Erscheinungsdatum: 06.12.2010
Gewicht: 0,604 kg
preigu-id: 107152430
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