Mixed Methods Social Network Analysis


Mixed Methods Social Network Analysis
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Mixed Methods Social Network Analysis


Mixed Methods Social Network Analysis
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Author : Dominik E. Froehlich
language : en
Publisher: Routledge
Release Date : 2019-12-09

Mixed Methods Social Network Analysis written by Dominik E. Froehlich and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-09 with Computers categories.


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.



Mixed Methods Social Networks Research


Mixed Methods Social Networks Research
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Author : Silvia Domínguez
language : en
Publisher: Cambridge University Press
Release Date : 2014-06-30

Mixed Methods Social Networks Research written by Silvia Domínguez and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-30 with Political Science categories.


This edited volume demonstrates the potential of mixed-methods designs for the research of social networks and the utilization of social networks for other research. Mixing methods applies to the combination and integration of qualitative and quantitative methods. In social network research, mixing methods also applies to the combination of structural and actor-oriented approaches. The volume provides readers with methodological concepts to guide mixed-method network studies with precise research designs and methods to investigate social networks of various sorts. Each chapter describes the research design used and discusses the strengths of the methods for that particular field and for specific outcomes.



Qualitative Networks


Qualitative Networks
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Author : Elisa Bellotti
language : en
Publisher: Routledge
Release Date : 2014-08-13

Qualitative Networks written by Elisa Bellotti and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-13 with Social Science categories.


How do we interact with people in our everyday life? Who are the people we are connected to? What are the consequences of overlapping social circles and how people deal with the potential emerging conflicts? What are the structural and cultural mechanisms that regulate social worlds? Network science is a scientific approach to the study of network dependencies and associations which tries to answer these and many other questions. This book explores the underlying mechanisms that regulate social life as they are produced, reproduced, modified, and abandoned in the spatial and temporal patterns of interactions. The mixed methods approach, that combines formal network analysis with qualitative materials and statistical tools, shows the importance of contextualising structural mechanisms in their social and cultural environment, and allows overcoming the traditional methodological boundaries that shape the field of social sciences.



The Routledge Reviewer S Guide To Mixed Methods Analysis


The Routledge Reviewer S Guide To Mixed Methods Analysis
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Author : Anthony J. Onwuegbuzie
language : en
Publisher: Routledge
Release Date : 2021-07-12

The Routledge Reviewer S Guide To Mixed Methods Analysis written by Anthony J. Onwuegbuzie and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-12 with Psychology categories.


The Routledge Reviewer’s Guide to Mixed Methods Analysis is a groundbreaking edited book – the first devoted solely to mixed methods research analyses, or mixed analyses. Each of the 30 seminal chapters, authored by internationally renowned scholars, provides a simple and practical introduction to a method of mixed analysis. Each chapter demonstrates "how to conduct the analysis" in easy-to-understand language. Many of the chapters present new topics that have never been written before, and all chapters offer cutting-edge approaches to analysis. The book contains the following four sections: Part I Quantitative Approaches to Qualitative Data (e.g., factor analysis of text, multidimensional scaling of qualitative data); Part II Qualitative Approaches to Quantitative Data (e.g., qualitizing data, mixed methodological discourse analysis); Part III "Inherently" Mixed Analysis Approaches (e.g., qualitative comparative analysis, mixed methods social network analysis, social media analytics as mixed analysis, GIS as mixed analysis); and Part IV Use of Software for Mixed Data Analysis (e.g., QDA Miner, WordStat, MAXQDA, NVivo, SPSS). The audience for this book includes (a) researchers, evaluators, and practitioners who conduct a variety of research projects and who are interested in using innovative analyses that will allow them to extract more from their data; (b) academics, including faculty who would use this book in their scholarship, as well as in their graduate-level courses, and graduate students who need access to a comprehensive set of mixed analysis tools for their dissertations/theses and other research assignments and projects; and (c) computer-assisted data analysis software developers who are seeking additional mixed analyses to include within their software programs. Chapter 24 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.



Social Network Analysis For Ego Nets


Social Network Analysis For Ego Nets
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Author : Nick Crossley
language : en
Publisher: SAGE
Release Date : 2015-07-27

Social Network Analysis For Ego Nets written by Nick Crossley and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-27 with Social Science categories.


The ego-net approach to social network analysis, which takes discrete individual actors and their contacts as its starting point, is one of the most widely used approaches in the field. This is the first textbook to take readers through each stage of ego-net research, from conception, through research design and data gathering to analysis. It starts with the basics, assuming no prior knowledge of social network analysis, but then moves on to introduce cutting edge innovations, covering both new statistical approaches to ego-net analysis and also the most recent thinking on mixing methods (quantitative and qualitative) to achieve depth and rigour. It is an absolute must for anybody wishing to explore the importance of networks.



Social Network Analysis And Education


Social Network Analysis And Education
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Author : Brian V. Carolan
language : en
Publisher: SAGE Publications
Release Date : 2013-03-14

Social Network Analysis And Education written by Brian V. Carolan and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-14 with Social Science categories.


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.



Research Methods In Social Network Analysis


Research Methods In Social Network Analysis
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Author : Linton C. Freeman
language : en
Publisher: Routledge
Release Date : 2017-07-28

Research Methods In Social Network Analysis written by Linton C. Freeman and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-28 with Social Science categories.


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.



Social Network Analysis


Social Network Analysis
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Author : Song Yang
language : en
Publisher: SAGE Publications
Release Date : 2016-10-28

Social Network Analysis written by Song Yang and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-28 with Social Science categories.


Social Network Analysis: Methods and Examples by Song Yang, Franziska B. Keller, and Lu Zheng 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.



Egocentric Network Analysis


Egocentric Network Analysis
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Author : Brea L. Perry
language : en
Publisher: Structural Analysis in the Soc
Release Date : 2018-03-22

Egocentric Network Analysis written by Brea L. Perry and has been published by Structural Analysis in the Soc this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-22 with Political Science categories.


An in-depth, comprehensive and practical guide to egocentric network analysis, focusing on fundamental theoretical, research design, and analytic issues.



The Oxford Handbook Of Social Networks


The Oxford Handbook Of Social Networks
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Author : Ryan Light
language : en
Publisher: Oxford University Press, USA
Release Date : 2020-12-04

The Oxford Handbook Of Social Networks written by Ryan Light and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-04 with Social Science categories.


"Social networks fundamentally shape our lives. Networks channel the ways that information, emotions, and diseases flow through populations. Networks reflect differences in power and status in settings ranging from small peer groups to international relations across the globe. Network tools even provide insights into the ways that concepts, ideas and other socially generated contents shape culture and meaning. As such, the rich and diverse field of social network analysis has emerged as a central tool across the social sciences. This Handbook provides an overview of the theory, methods, and substantive contributions of this field. The thirty-three chapters move through the basics of social network analysis aimed at those seeking an introduction to advanced and novel approaches to modeling social networks statistically. The Handbook includes chapters on data collection and visualization, theoretical innovations, links between networks and computational social science, and how social network analysis has contributed substantively across numerous fields. As networks are everywhere in social life, the field is inherently interdisciplinary and this Handbook includes contributions from leading scholars in sociology, archaeology, economics, statistics, and information science among others"--