Social Network Analysis

Appropriate for beginners and established researchers the book represents SNA in its entirety; as theory as well as method - and is carefully supported by up-to-date statistical models.

Author: Christina Prell

Publisher: SAGE

ISBN: 9781412947145

Category: Social Science

Page: 263

View: 378


Appropriate for beginners and established researchers the book represents SNA in its entirety; as theory as well as method - and is carefully supported by up-to-date statistical models.

What is Social Network Analysis

I have reviewed the history of social network analysis through tracing developments in relation to a number of specific methodological approaches. The earliest of these was graph theory and the associated techniques of sociometry.

Author: John Scott

Publisher: A&C Black

ISBN: 9781849668194

Category: Reference

Page: 114

View: 736


This book is available as open access through the Bloomsbury Open Access programme and is available on This book introduces the non-specialist reader to the principal ideas, nature and purpose of social network analysis. Social networks operate on many levels, from families up to the level of nations, and play a critical role in determining the way problems are solved, organizations are run, and the degree to which individuals achieve their goals. Social network theory maps these relationships between individual actors. Though relatively new on the scene it has become hugely influential across the social sciences. Assuming no prior knowledge of quantitative sociology, this book presents the key ideas in context through examples and illustrations. Using a structured approach to understanding work in this area, John Scott signposts further reading and online sources so readers can develop their knowledge and skills to become practitioners of this research method. A series of Frequently Asked Questions takes the reader through the main objections raised against social network analysis and answers the various queries that will come up once the reader has worked their way through the book.

Mixed Methods Social Network Analysis

Theories and Methodologies in Learning and Education Dominik E. Froehlich, Martin Rehm, Bart C. Rienties. handbook of social network analysis (pp. 404–416). ... Social network analysis: History, theory & methodology. London: Sage.

Author: Dominik E. Froehlich

Publisher: Routledge

ISBN: 9780429557040

Category: Social Science

Page: 280

View: 223


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.

Social Network Analysis and Education

Social network analysis: History, theory, and methodology. Thousand Oaks, CA: Sage Publications Inc. Valued and Directed Data on Friendship Ties. This row shows the friendship ties “sent” by Teacher A to the four other teachers in the ...

Author: Brian V. Carolan

Publisher: SAGE Publications

ISBN: 9781483320793

Category: Social Science

Page: 344

View: 858


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 for Complexity Theory in Applied Linguistics

Prell, C. (2012) Social Network Analysis: History, Theory, and Methodology. Thousand Oaks, CA: SAGE. Raschka, C., Wei, L. and Lee, S. (2002) Bilingual development and social networks of British-born Chinese children.

Author: Phil Hiver

Publisher: Multilingual Matters

ISBN: 9781788925761

Category: Reference

Page: 296

View: 681


This book provides practical guidance on research methods and designs that can be applied to Complex Dynamic Systems Theory (CDST) research. It discusses the contribution of CDST to the field of applied linguistics, examines what this perspective entails for research and introduces practical methods and templates, both qualitative and quantitative, for how applied linguistics researchers can design and conduct research using the CDST framework. Introduced in the book are methods ranging from those in widespread use in social complexity, to more familiar methods in use throughout applied linguistics. All are inherently suited to studying both dynamic change in context and interconnectedness. This accessible introduction to CDST research will equip readers with the knowledge to ensure compatibility between empirical research designs and the theoretical tenets of complexity. It will be of value to researchers working in the areas of applied linguistics, language pedagogy and educational linguistics and to scholars and professionals with an interest in second/foreign language acquisition and complexity theory.

Doing Social Network Research

{{ Prell, C. (2012) Social network Analysis: History, Theory and Methodology. Los Angeles: Sage. {{ Scott, J. (2013) Social network Analysis. Los Angeles: Sage. (This is the third edition of a very popular introductory text.) 4.

Author: Garry Robins

Publisher: SAGE

ISBN: 9781473916746

Category: Reference

Page: 280

View: 419


Are you struggling to design your social network research? Are you looking for a book that covers more than social network analysis? If so, this is the book for you! With straight-forward guidance on research design and data collection, as well as social network analysis, this book takes you start to finish through the whole process of doing network research. Open the book and you'll find practical, 'how to' advice and worked examples relevant to PhD students and researchers from across the social and behavioural sciences. The book covers: Fundamental network concepts and theories Research questions and study design Social systems and data structures Network observation and measurement Methods for data collection Ethical issues for social network research Network visualization Methods for social network analysis Drawing conclusions from social network results This is a perfect guide for all students and researchers looking to do empirical social network research.

The Routledge Companion to Digital Humanities and Art History

For a concise and eminently readable historiography of social network analysis, see Christina Prell, Social Network Analysis: History, Theory and Methodology (Los Angeles: Sage, 2011), Ch. 2. A landmark paper in historical network ...

Author: Kathryn Brown

Publisher: Routledge

ISBN: 9780429999130

Category: Art

Page: 498

View: 541


The Routledge Companion to Digital Humanities and Art History offers a broad survey of cutting-edge intersections between digital technologies and the study of art history, museum practices, and cultural heritage. The volume focuses not only on new computational tools that have been developed for the study of artworks and their histories but also debates the disciplinary opportunities and challenges that have emerged in response to the use of digital resources and methodologies. Chapters cover a wide range of technical and conceptual themes that define the current state of the field and outline strategies for future development. This book offers a timely perspective on trans-disciplinary developments that are reshaping art historical research, conservation, and teaching. This book will be of interest to scholars in art history, historical theory, method and historiography, and research methods in education.

Social Networks and Natural Resource Management

Social Network Analysis: History, Theory, and Methodology. London: Sage. Robins, G., P. Pattison, Y. Kalish and D. Lusher (2007a). An introduction to exponential random graph (p*) models for social networks. Social Networks, 29, 173191.

Author: Örjan Bodin

Publisher: Cambridge University Press

ISBN: 9781139496575

Category: Law


View: 499


Social Network Analysis (SNA), a quantitative approach to the study of social relations, has recently emerged as a key tool for understanding the governance of natural resources. Bringing together contributions from a range of researchers in the field, this is the first book to fully explore the potential applications of SNA in the context of natural resource management. Topics covered include the role of SNA in stakeholder selection; improving fisheries management and conservation; the effect of social network ties on public satisfaction and agrarian communication networks. Numerous case studies link SNA concepts to the theories underlying natural resource governance, such as social learning, adaptive co-management and social movements theory. Reflecting on the challenges and opportunities associated with this evolving field, this is an ideal resource for students and researchers involved in many areas of natural resource management, environmental biology, sustainability science and sociology.

Organizational Network Analysis

Social network analysis: History, theory and methodology. London: Sage Publications. Priem, R. L., & Butler, J. E. (2001). Is the resource-based “view” a useful perspective for strategic management research? Academy of Management Review ...

Author: Anna Ujwary-Gil

Publisher: Routledge

ISBN: 9781000730180

Category: Business & Economics

Page: 272

View: 948


The integrated meta-model for organizational resource audit is a consistent and comprehensive instrument for auditing intangible resources and their relations and associations from the network perspective. This book undertakes a critically important problem of management sciences, poorly recognized in literature although determining the current and future competitiveness of enterprises, sectors and economies. The author notes the need to introduce a theoretical input, which is manifested by the meta-model. An expression of this treatment is the inclusion of the network as a structure of activities, further knowledge as an activity, and intangible assets as intellectual capital characterized by a structure of connections. The case study presented is an illustration of the use of network analysis tools and other instruments to identify not only the most important resources, tasks or actors, as well as their effectiveness, but also to connect the identified networks with each other. The author opens the field for applying her methodology, revealing the structural and dynamic features of the intangible resources of the organization. The novelty of the proposed meta-model shows the way to in-depth applications of network analysis techniques in an intra-organizational environment. Organizational Network Analysis makes a significant contribution to the development of management sciences, in terms of strategic management and more strictly resource approach to the company through structural definition of knowledge; application of the concept of improvement-oriented audit abandoning a narrow understanding of this technique in terms of compliance; reliable presentation of audits available in the literature; rigorous reasoning leading to the development of a meta-model; close linking of knowledge and resources with the strategy at the design stage of the developed audit model, including the analysis of link dynamics and networks together with an extensive metrics proposal; an interesting illustration of the application with the use of metrics, tables and charts. It will be of value to researchers, academics, managers, and students in the fields of strategic management, organizational studies, social network analysis in management, knowledge management, and auditing knowledge resources in organizations.

The Routledge Reviewer s Guide to Mixed Methods Analysis

Social Forces, 56(2), 576–597. sf/56.2.576 Prell, C. (2012). Social network analysis: History, theory and methodology. SAGE. Vlegels, J., & Lievens, J. (2015). Music genres as historical artifacts: The case of ...

Author: Anthony J. Onwuegbuzie

Publisher: Routledge

ISBN: 9781351395526

Category: Psychology

Page: 406

View: 379


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.