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عنوان
Statistical analysis of network data with R

پدید آورنده
/ Eric D. Kolaczyk, Gaabor Csaardi

موضوع
System analysis--Statistical methods,R (Computer program language),Data Interpretation, Statistical,R (Computer program language)--fast--(OCoLC)fst01086207,System analysis--Statistical methods.--fast--(OCoLC)fst01141397

رده
‭
QA402
‬ ‭.
K6483
2014
‬

کتابخانه
Central Library and Documents Center of Mazandaran University

محل استقرار
استان: Mazandaran ـ شهر: Babolsar

Central Library and Documents Center of Mazandaran University

تماس با کتابخانه : 62-35302861-011

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
9781493909827 (pbk. : alk. paper)

NATIONAL BIBLIOGRAPHY NUMBER

Number
41119

LANGUAGE OF THE ITEM

.Language of Text, Soundtrack etc
eng

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Statistical analysis of network data with R
First Statement of Responsibility
/ Eric D. Kolaczyk, Gaabor Csaardi

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
New york
Name of Publisher, Distributor, etc.
: Springer
Date of Publication, Distribution, etc.
, 2014.

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
xiii, 207 pages
Other Physical Details
: illustrations (some color)
Dimensions
; 24 cm.

SERIES

Series Title
(Use R!)

GENERAL NOTES

Text of Note
Language: انگلیسی

NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.

Text of Note
Print

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references (197-204) and index

CONTENTS NOTE

Text of Note
Networks have permeated everyday life through everyday realities like the Internet, social networks, and viral marketing. As such, network analysis is an important growth area in the quantitative sciences, with roots in social network analysis going back to the 1930s and graph theory going back centuries. Measurement and analysis are integral components of network research. As a result, statistical methods play a critical role in network analysis. This book is the first of its kind in network research. It can be used as a stand-alone resource in which multiple R packages are used to illustrate how to conduct a wide range of network analyses, from basic manipulation and visualization, to summary and characterization, to modeling of network data. The central package is igraph, which provides extensive capabilities for studying network graphs in R. This text builds on Eric D. Kolaczyk's book Statistical Analysis of Network Data (Springer, 2009).--Source other than Library of Congress. 1. Introduction -- 2. Manipulating network data -- 3. Visualizing network data -- 4. Descriptive analysis of network graph characteristics -- 5. Mathematical models for network graphs -- 6. Statistical models for network graphs -- 7. Network topology inference -- 8. Modeling and prediction for processes on network graphs -- 9. Analysis of network flow data -- 10. Dynamic networks.

SERIES

Title
Use R!

TOPICAL NAME USED AS SUBJECT

Entry Element
System analysis--Statistical methods
Entry Element
R (Computer program language)
Entry Element
Data Interpretation, Statistical
Entry Element
R (Computer program language)--fast--(OCoLC)fst01086207
Entry Element
System analysis--Statistical methods.--fast--(OCoLC)fst01141397

DEWEY DECIMAL CLASSIFICATION

Number
‭
003
.
015195
‬

PERSONAL NAME - PRIMARY RESPONSIBILITY

Kolaczyk, Eric D

PERSONAL NAME - SECONDARY RESPONSIBILITY

Csaardi, Gaabor

old catalog

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