00000nam a22000005i 4500 UP-1685675941131440914 Buklod 20240507144100.0 m |o d | cr ||||||||||| 240507s2022 cau 000 0 eng 9781529722475 (paperback) 22268605 Econ-34562 DLC DECON rda eng HM 742 B67 2022 Borgatti, Stephen P. author. Analyzing social networks using R Stephen P. Borgatti, Martin G. Everett, Jeffrey C. Johnson [and] Filip Agneessens. Thousand Oaks SAGE Publications 2022. text txt rdacontent unmediated rdamedia n volume nc rdacarrier Introduction -- Mathematical foundations -- Research design -- Data collection -- Data management -- Multivariate techniques used in network analysis -- Visualization -- Local node-level measures -- Centrality -- Group-level measures -- Subgroupds and community detection -- Equivalence -- Analyzing two-mode data -- Introduction to inferential statistics for complete networks -- ERGMs and SAOMs 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 a range of statistical models including QAP and ERGM, giving you the tools to approach different types of networks Provides a fully integrated discussion of digital data and networks like Twitter, sociolab and Amazon Offers digital resources like practice datasets and worked examples that help you get to grips with R software"-- Provided by publisher. Online social networks Data processing. R (Computer program language). Everett, Martin G. author. Johnson, Jeffrey C. author. Agneessens, Filip author. Book FO UPD DECON HM 742 B67 2022 Book