Tools

LEADER 03583cam 2200589 i 4500

001 on1282595037;

003 OCoLC;

005 20240729154348.0;

008 211104t20222022caua b 001 0 eng d;

015 a| GBC2397912| bnb;

016 7 a| 0205100452| Uk;

019 a| 1282002016a| 1282004073a| 1282593968;

020 a| 9781529722482q| hardcover;

020 a| 1529722489q| hardcover;

020 a| 9781529722475q| paperback;

020 a| 1529722470q| paperback;

020 z| 9781529765755 (ePub ebook);

020 z| 9781529766585 (PDF ebook);

029 1 a| UKMGBb| 020510045;

029 1 a| AU@b| 000072805339;

035 a| (Sirsi) o1282595037;

035 a| (OCoLC)1282595037z| (OCoLC)1282002016z| (OCoLC)1282004073z| (OCoLC)1282593968;

049 a| EREE;

050 4 a| QA276.45.R3b| B67 2022;

050 4 a| HM742b| .B67 2022;

082 04 a| 006.7542| 23;

100 1 a| Borgatti, Stephen P.,e| author.=| ^A1201645;

245 10 a| Analyzing social networks using R /c| Stephen P. Borgatti, Martin G. Everett, Jeffrey C. Johnson, Filip Agneessens.;

264 1 a| Los Angeles :b| SAGE,c| [2022];

300 a| xviii, 359 pages :b| illustrations ;c| 25 cm;

336 a| textb| txt2| rdacontent;

337 a| unmediatedb| n2| rdamedia;

338 a| volumeb| nc2| rdacarrier;

504 a| Includes bibliographical references and index.;

505 0 a| Introduction -- Mathematical foundations -- Research design -- Data collection -- Data management -- Multivariate techniques used in network analysis -- Visualization -- Local node-level measures -- Centrality -- Group-level measures -- Subgroups and community detection -- Equivalence -- Analyzing two-mode data -- Introduction to inferential statistics for complete networks -- ERGMs and SAOMs.;

520 a| "This approachable book introduces network research in R, walking you through every step of doing social network analysis. Drawing together research design, data collection and data analysis, it explains the core concepts of network analysis in a non-technical way. The book balances an easy to follow explanation of the theoretical and statistical foundations underpinning network analysis with practical guidance on key steps like data management, preparation and visualisation. With clarity and expert insight, it: Discusses measures and techniques for analyzing social network data, including digital media ; Explains a range of statistical models including QAP and ERGM, giving you the tools to approach different types of networks ; Offers digital resources like practice datasets and worked examples that help you get to grips with R software"--Back cover.;

650 0 a| Online social networksx| Data processing.=| ^A708333;

650 0 a| R (Computer program language)=| ^A523882;

650 7 a| R (Computer program language)2| fast0| (OCoLC)fst01086207;

700 1 a| Everett, Martin G.,d| 1955-e| author.1| https://id.oclc.org/worldcat/entity/E39PBJt3Wq9vtMJkCwG6JpCRKd=| ^A1354376;

700 1 a| Johnson, Jeffrey C.,e| author.=| ^A166254;

700 1 a| Agneessens, Filip,e| author.?| UNAUTHORIZED;

776 08 i| ebook version :z| 9781529765755;

938 a| Brodartb| BRODn| 131126873;

938 a| YBP Library Servicesb| YANKn| 17703940;

938 a| YBP Library Servicesb| YANKn| 17703941;

994 a| C0b| ERE;

596 a| 1;

998 a| 5888317;

999 a| HM742 .B67 2022w| LCc| 1i| 30372017665289d| 12/8/2025e| 12/8/2025f| 8/20/2025g| 3k| CHECKEDOUTl| JGESm| JOYNERn| 7r| Ms| Yt| JGESBKu| 8/22/2022x| BOOKz| JSTACKS;

Analyzing social networks using R / Stephen P. Borgatti, Martin G. Everett, Jeffrey C. Johnson, Filip Agneessens.

Author/creator	Borgatti, Stephen P. author.
Other author	Everett, Martin G., 1955- author.
Other author	Johnson, Jeffrey C., author.
Other author	Agneessens, Filip, author.
Format	Book
Publication	Los Angeles : SAGE, [2022]
Copyright Date	©2022
Description	xviii, 359 pages : illustrations ; 25 cm
Subjects	Online social networks--Data processing. R (Computer program language)

Contents	Introduction -- Mathematical foundations -- Research design -- Data collection -- Data management -- Multivariate techniques used in network analysis -- Visualization -- Local node-level measures -- Centrality -- Group-level measures -- Subgroups and community detection -- Equivalence -- Analyzing two-mode data -- Introduction to inferential statistics for complete networks -- ERGMs and SAOMs.
Abstract	"This approachable book introduces network research in R, walking you through every step of doing social network analysis. Drawing together research design, data collection and data analysis, it explains the core concepts of network analysis in a non-technical way. The book balances an easy to follow explanation of the theoretical and statistical foundations underpinning network analysis with practical guidance on key steps like data management, preparation and visualisation. With clarity and expert insight, it: Discusses measures and techniques for analyzing social network data, including digital media ; Explains a range of statistical models including QAP and ERGM, giving you the tools to approach different types of networks ; Offers digital resources like practice datasets and worked examples that help you get to grips with R software"--Back cover.
Bibliography note	Includes bibliographical references and index.
Issued in other form	ebook version : 9781529765755
ISBN	9781529722482 hardcover
ISBN	1529722489 hardcover
ISBN	9781529722475 paperback
ISBN	1529722470 paperback

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Analyzing social networks using R / Stephen P. Borgatti, Martin G. Everett, Jeffrey C. Johnson, Filip Agneessens.

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