Research Methods In Social Network Analysis

Author : Linton C. Freeman
Publisher : Transaction Publishers
ISBN 13 : 9781560005698
Total Pages : 306 pages
Book Rating : 4.96/5 ( download)

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Download or read book Research Methods in Social Network Analysis written by Linton C. Freeman and published by Transaction Publishers. This book was released on 1992 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the publication of Herbert Spencer's Principles of Sociology in 1875, the use of social structure as a defining concept has produced a large body of creative speculations, insights, and intuitions about social life. However, writers in this tradition do not always provide the sorts of formal definitons and propositions that are the building blocks of modern social research. In its broad-ranging examination of the kind of data that form the basis for the systematic study of social structure, Research Methods in Social Network Analysis marks a significant methodological advance in network studies. As used in this volume, social structure refers to a bundle of intuitive natural language ideas and concepts about patterning in social relationships among people. In contrast, social networks is used to refer to a collection of precise analytic and methodological concepts and procedures that facilitate the collection of data and the systematic study of such patterning. Accordingly, the book's five sections are arranged to address analytical problems in a series of logically ordered stages or processes. The major contributors define the fundamental modes by which social structural phenomena are to be represented; how boundaries to a social structure are set; how the relations of a network are measured in terms of structure and content; the ways in which the relational structure of a network affects system actors; and how actors within a social network are clustered into cliques or groups. The chapters in the last section build on solutions to problems proposed in the previous sections. This highly unified approach to research design combined with a representative diversity of viewpoints makes Research Methods in Social Network Analysis a state-of-the-art volume.

Author : Song Yang
Publisher :
ISBN 13 : 9781071802847
Total Pages : 236 pages
Book Rating : 4.44/5 ( download)

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Download or read book Social network analysis written by Song Yang and published by . This book was released on 2017 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social Network Analysis: Methods and Examples prepares social science students to conduct their own social network analysis (SNA) by covering basic methodological tools along with illustrative examples from various fields. This innovative book takes a conceptual rather than a mathematical approach as it discusses the connection between what SNA methods have to offer and how those methods are used in research design, data collection, and analysis. Four substantive applications chapters provide examples from politics, work and organizations, mental and physical health, and crime and terrorism studies.

Author : John Scott
Publisher : A&C Black
ISBN 13 : 1849668175
Total Pages : 137 pages
Book Rating : 4.70/5 ( download)

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Download or read book What is Social Network Analysis? written by John Scott and published by A&C Black. This book was released on 2012-08-21 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: Part of the What is..? series, this book is an introductory guide providing explanations of the nature of social network methods.

Author : Dominik E. Froehlich
Publisher : Routledge
ISBN 13 : 0429557043
Total Pages : 296 pages
Book Rating : 4.40/5 ( download)

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Download or read book Mixed Methods Social Network Analysis written by Dominik E. Froehlich and published by Routledge. This book was released on 2019-12-09 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mixed Methods Social Network Analysis brings together diverse perspectives from 42 international experts on how to design, implement, and evaluate mixed methods social network analysis (MMSNA). There is an increased recognition that social networks can be important catalysts for change and transformation. This edited book from leading experts in mixed methods and social network analysis describes how researchers can conceptualize, develop, mix, and intersect diverse approaches, concepts, and tools. In doing so, they can improve their understanding and insights into the complex change processes in social networks. Section 1 includes eight chapters that reflect on "Why should we do MMSNA?", providing a clear map of MMSNA research to date and why to consider MMSNA. In Section 2 the remaining 11 chapters are dedicated to the question "How do I do MMSNA?", illustrating how concentric circles, learning analytics, qualitative structured approaches, relational event modeling, and other approaches can empower researchers. This book shows that mixing qualitative and quantitative approaches to social network analysis can empower people to understand the complexities of change in networks and relations between people. It shows how mixed analysis can be applied to a wide range of data generated by diverse global communities: American school children, Belgian teachers, Dutch medical professionals, Finnish consultants, French school children, and Swedish right-wing social media users, amongst others. It will be of great interest to researchers and postgraduate students in education and social sciences and mixed methods scholars.

Author : Peter J. Carrington
Publisher :
ISBN 13 : 9780521809597
Total Pages : 328 pages
Book Rating : 4.92/5 ( download)

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Download or read book Models and Methods in Social Network Analysis written by Peter J. Carrington and published by . This book was released on 2005-02-07 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Models and Methods in Social Network Analysis presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of articles by leading methodologists reviewing advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, the analysis of diffusion through networks, the analysis of affiliation or 'two-mode' networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for the analysis of social networks.

Author : Brian V. Carolan
Publisher : SAGE Publications
ISBN 13 : 1483303519
Total Pages : 345 pages
Book Rating : 4.12/5 ( download)

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Download or read book Social Network Analysis and Education written by Brian V. Carolan and published by SAGE Publications. This book was released on 2013-03-14 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social Network Analysis and Education: Theory, Methods & Applications provides an introduction to the theories, methods, and applications that constitute the social network perspective. Unlike more general texts, this applied title is designed for those current and aspiring educational researchers learning how to study, conceptualize, and analyze social networks. Brian V. Carolan's main intent is to encourage you to consider the social network perspective in light of your emerging research interests and evaluate how well this perspective illuminates the social complexities surrounding educational phenomena. Relying on diverse examples drawn from the educational research literature, this book makes explicit how the theories and methods associated with social network analysis can be used to better describe and explain the social complexities surrounding varied educational phenomena.

Author : Linton C. Freeman
Publisher : Routledge
ISBN 13 : 1351493361
Total Pages : 530 pages
Book Rating : 4.69/5 ( download)

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Download or read book Research Methods in Social Network Analysis written by Linton C. Freeman and published by Routledge. This book was released on 2017-07-28 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the publication of Herbert Spencer's Principles of Sociology in 1875, the use of social structure as a defining concept has produced a large body of creative speculations, insights, and intuitions about social life. However, writers in this tradition do not always provide the sorts of formal definitons and propositions that are the building blocks of modern social research. In its broad-ranging examination of the kind of data that form the basis for the systematic study of social structure, Research Methods in Social Network Analysis marks a significant methodological advance in network studies.As used in this volume, social structure refers to a bundle of intuitive natural language ideas and concepts about patterning in social relationships among people. In contrast, social networks is used to refer to a collection of precise analytic and methodological concepts and procedures that facilitate the collection of data and the systematic study of such patterning. Accordingly, the book's five sections are arranged to address analytical problems in a series of logically ordered stages or processes.The major contributors define the fundamental modes by which social structural phenomena are to be represented; how boundaries to a social structure are set; how the relations of a network are measured in terms of structure and content; the ways in which the relational structure of a network affects system actors; and how actors within a social network are clustered into cliques or groups. The chapters in the last section build on solutions to problems proposed in the previous sections. This highly unified approach to research design combined with a representative diversity of viewpoints makes Research Methods in Social Network Analysis a state-of-the-art volume.

Author : Mohammad Gouse Galety
Publisher : John Wiley & Sons
ISBN 13 : 1119836735
Total Pages : 260 pages
Book Rating : 4.35/5 ( download)

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Download or read book Social Network Analysis written by Mohammad Gouse Galety and published by John Wiley & Sons. This book was released on 2022-04-28 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: SOCIAL NETWORK ANALYSIS As social media dominates our lives in increasing intensity, the need for developers to understand the theory and applications is ongoing as well. This book serves that purpose. Social network analysis is the solicitation of network science on social networks, and social occurrences are denoted and premeditated by data on coinciding pairs as the entities of opinion. The book features: Social network analysis from a computational perspective using python to show the significance of fundamental facets of network theory and the various metrics used to measure the social network. An understanding of network analysis and motivations to model phenomena as networks. Real-world networks established with human-related data frequently display social properties, i.e., patterns in the graph from which human behavioral patterns can be analyzed and extracted. Exemplifies information cascades that spread through an underlying social network to achieve widespread adoption. Network analysis that offers an appreciation method to health systems and services to illustrate, diagnose, and analyze networks in health systems. The social web has developed a significant social and interactive data source that pays exceptional attention to social science and humanities research. The benefits of artificial intelligence enable social media platforms to meet an increasing number of users and yield the biggest marketplace, thus helping social networking analysis distribute better customer understanding and aiding marketers to target the right customers. Audience The book will interest computer scientists, AI researchers, IT and software engineers, mathematicians.

Author : Nilanjan Dey
Publisher : Academic Press
ISBN 13 : 0128156414
Total Pages : 267 pages
Book Rating : 4.14/5 ( download)

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Download or read book Social Network Analytics written by Nilanjan Dey and published by Academic Press. This book was released on 2018-11-16 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social Network Analytics: Computational Research Methods and Techniques focuses on various technical concepts and aspects of social network analysis. The book features the latest developments and findings in this emerging area of research. In addition, it includes a variety of applications from several domains, such as scientific research, and the business and industrial sectors. The technical aspects of analysis are covered in detail, including visualizing and modeling, network theory, mathematical models, the big data analytics of social networks, multidimensional scaling, and more. As analyzing social network data is rapidly gaining interest in the scientific research community because of the importance of the information and insights that can be culled from the wealth of data inherent in the various aspects of the network, this book provides insights on measuring the relationships and flows between people, groups, organizations, computers, URLs, and more. Examines a variety of data analytic techniques that can be applied to social networks Discusses various methods of visualizing, modeling and tracking network patterns, organization, growth and change Covers the most recent research on social network analysis and includes applications to a number of domains

Author : John Scott
Publisher : SAGE
ISBN 13 : 1446236161
Total Pages : 228 pages
Book Rating : 4.61/5 ( download)

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Download or read book Social Network Analysis written by John Scott and published by SAGE. This book was released on 2000-01-26 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: The revised and updated edition of this bestselling text provides an accessible introduction to the theory and practice of network analysis in the social sciences. It gives a clear and authoritative guide to the general framework of network analysis, explaining the basic concepts, technical measures and reviewing the available computer programs. The book outlines both the theoretical basis of network analysis and the key techniques for using it as a research tool. Building upon definitions of points, lines and paths, John Scott demonstrates their use in clarifying such measures as density, fragmentation and centralization. He identifies the various cliques, components and circles into which networks are formed, and outlines an approach to the study of socially structured positions. He also discusses the use of multidimensional methods for investigating social networks. Social Network Analysis is an invaluable resource for researchers across the social sciences and for students of social theory and research methods.