{"product_id":"models-and-methods-in-social-network-analysis-essential-1990s","title":"Models and Methods in Social Network Analysis - Essential 1990s","description":"\u003cp\u003eIn this review of Models and Methods in Social Network Analysis, the reviewer finds a focused, methodologically rich companion for researchers who need a rigorous survey of network techniques developed in the 1990s. The volume is best for graduate students, methodologists, and applied social scientists who want concise, expert treatments of topics such as network measurement, sampling, centrality analysis, blockmodelling, diffusion, two-mode networks, and random graph theory. The single biggest reason to buy is its clear review of substantive quantitative advances led by respected authors in the field.\u003c\/p\u003e\n\n\u003ch2\u003eKey Features\u003c\/h2\u003e\n\u003cul\u003e\n \u003cli\u003e\n\u003cstrong\u003eComprehensive reviews:\u003c\/strong\u003e Each chapter summarizes the most significant quantitative developments in social network analysis from the 1990s, giving readers a reliable survey of that decade's progress.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eMethodological depth:\u003c\/strong\u003e The authors walk through measurement and sampling advances so researchers can evaluate and apply rigorous data-handling approaches to network datasets.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eCentrality and positional analysis:\u003c\/strong\u003e Detailed discussion of centrality measures and blockmodelling helps analysts choose appropriate metrics for different research questions.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eTwo-mode and diffusion coverage:\u003c\/strong\u003e The book treats affiliation networks and diffusion processes, useful for studying group ties and spread phenomena in networks.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eTheory of random graphs:\u003c\/strong\u003e A dedicated review of random graph theory provides theoretical grounding for probabilistic models used in empirical work.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eAuthored by leading methodologists:\u003c\/strong\u003e Contributions from established scholars ensure the treatments are authoritative and well referenced for further reading.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eWho It's For\u003c\/h2\u003e\n\u003cp\u003eThis volume is ideal for graduate students in sociology or political science, doctoral researchers, and applied methodologists who need a compact but thorough account of late 20th-century developments in quantitative network methods. In particular, those designing network measurement strategies, sampling schemes, or selecting centrality and blockmodel techniques will find direct value.\u003c\/p\u003e\n\u003cp\u003eThose seeking step-by-step software tutorials, elementary introductions for general readers, or an up-to-the-minute survey of methods after the 1990s should look elsewhere; the book assumes some familiarity with social network concepts and focuses on methodological review rather than introductory pedagogy.\u003c\/p\u003e\n\n\u003ch2\u003ePros \u0026amp; Cons\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003ePros\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n \u003cli\u003eAuthoritative synthesis by leading scholars provides a trustworthy overview of key methodological advances.\u003c\/li\u003e\n \u003cli\u003eWide topical range covers measurement, sampling, centrality, blockmodelling, diffusion, two-mode networks, and random graphs in one volume.\u003c\/li\u003e\n \u003cli\u003eUseful for designing rigorous empirical work because it emphasizes quantitative models and their assumptions.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eCons\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n \u003cli\u003eNot a beginner textbook; readers without prior network background may find some discussions terse.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable\u003e\n \u003ctr\u003e\n\u003ctd\u003eTitle\u003c\/td\u003e\n\u003ctd\u003eModels and Methods in Social Network Analysis\u003c\/td\u003e\n\u003c\/tr\u003e\n \u003ctr\u003e\n\u003ctd\u003eSeries\u003c\/td\u003e\n\u003ctd\u003eStructural Analysis in the Social Sciences, Series Number 28\u003c\/td\u003e\n\u003c\/tr\u003e\n \u003ctr\u003e\n\u003ctd\u003eAuthors\u003c\/td\u003e\n\u003ctd\u003ePeter J. Carrington, John Scott, Stanley Wasserman\u003c\/td\u003e\n\u003c\/tr\u003e\n \u003ctr\u003e\n\u003ctd\u003eScope\u003c\/td\u003e\n\u003ctd\u003eQuantitative models and methods from the 1990s\u003c\/td\u003e\n\u003c\/tr\u003e\n \u003ctr\u003e\n\u003ctd\u003eTopics covered\u003c\/td\u003e\n\u003ctd\u003eMeasurement, sampling, centrality, blockmodelling, diffusion, two-mode networks, random graphs\u003c\/td\u003e\n\u003c\/tr\u003e\n \u003ctr\u003e\n\u003ctd\u003eUse case\u003c\/td\u003e\n\u003ctd\u003eGraduate-level methods reference and survey\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eOur Verdict\u003c\/h2\u003e\n\u003cp\u003eModels and Methods in Social Network Analysis is a compact, expert-led review that belongs on the shelf of any researcher working seriously with network data from a methodological perspective. It delivers concentrated, well-organized surveys of core quantitative topics from the 1990s and is good value for students and scholars who need authoritative synthesis rather than introductory instruction.\u003c\/p\u003e\n\n\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eIs this book suitable for beginners?\u003c\/strong\u003e\u003cbr\u003eThe book assumes some prior knowledge of social network concepts and is best for readers with at least an introductory background in network analysis.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDoes it cover empirical applications or software?\u003c\/strong\u003e\u003cbr\u003eThe volume focuses on methodological advances and theory rather than step-by-step software tutorials or extensive empirical casework.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWhich topics are emphasized?\u003c\/strong\u003e\u003cbr\u003eKey emphases include network measurement, sampling, centrality, blockmodelling, diffusion, affiliation networks, and random graph theory.\u003c\/p\u003e","brand":"Peter J. Carrington, John Scott, Stanley Wasserman","offers":[{"title":"Default Title","offer_id":48256285409499,"sku":"0521809592","price":133.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0724\/1043\/1707\/files\/41aOnR-AgyL.jpg?v=1770972795","url":"https:\/\/gearmusthave.com\/products\/models-and-methods-in-social-network-analysis-essential-1990s","provider":"GearMustHave","version":"1.0","type":"link"}