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Author: Emmanuel Lazega Publisher: Springer ISBN: 3319245201 Category : Social Science Languages : en Pages : 373
Book Description
This volume provides new insights into the functioning of organizational, managerial and market societies. Multilevel analysis and social network analysis are described and the authors show how they can be combined in developing the theory, methods and empirical applications of the social sciences. This book maps out the development of multilevel reasoning and shows how it can explain behavior, through two different ways of contextualizing it. First, by identifying levels of influence on behavior and different aggregations of actors and behavior, and complex interactions between context and behavior. Second, by identifying different levels as truly different systems of agency: such levels of agency can be examined separately and jointly since the link between them is affiliation of members of one level to collective actors at the superior level. It is by combining these approaches that this work offers new insights. New case studies and datasets that explore new avenues of theorizing and new applications of methodology are presented. This book will be useful as a reference work for all social scientists, economists and historians who use network analyses and multilevel statistical analyses. Philosophers interested in the philosophy of science or epistemology will also find this book valuable.
Author: Emmanuel Lazega Publisher: Springer ISBN: 3319245201 Category : Social Science Languages : en Pages : 373
Book Description
This volume provides new insights into the functioning of organizational, managerial and market societies. Multilevel analysis and social network analysis are described and the authors show how they can be combined in developing the theory, methods and empirical applications of the social sciences. This book maps out the development of multilevel reasoning and shows how it can explain behavior, through two different ways of contextualizing it. First, by identifying levels of influence on behavior and different aggregations of actors and behavior, and complex interactions between context and behavior. Second, by identifying different levels as truly different systems of agency: such levels of agency can be examined separately and jointly since the link between them is affiliation of members of one level to collective actors at the superior level. It is by combining these approaches that this work offers new insights. New case studies and datasets that explore new avenues of theorizing and new applications of methodology are presented. This book will be useful as a reference work for all social scientists, economists and historians who use network analyses and multilevel statistical analyses. Philosophers interested in the philosophy of science or epistemology will also find this book valuable.
Author: John McLevey Publisher: SAGE Publications Limited ISBN: 152961466X Category : Social Science Languages : en Pages : 951
Book Description
This new edition of The Sage Handbook of Social Network Analysis builds on the success of its predecessor, offering a comprehensive overview of social network analysis produced by leading international scholars in the field. Brand new chapters provide both significant updates to topics covered in the first edition, as well as discussing cutting edge topics that have developed since, including new chapters on: · General issues such as social categories and computational social science; · Applications in contexts such as environmental policy, gender, ethnicity, cognition and social media and digital networks; · Concepts and methods such as centrality, blockmodeling, multilevel network analysis, spatial analysis, data collection, and beyond. By providing authoritative accounts of the history, theories and methodology of various disciplines and topics, the second edition of The SAGE Handbook of Social Network Analysis is designed to provide a state-of-the-art presentation of classic and contemporary views, and to lay the foundations for the further development of the area. PART 1: GENERAL ISSUES PART 2: APPLICATIONS PART 3: CONCEPTS AND METHODS
Author: Giancarlo Ragozini Publisher: Springer Nature ISBN: 3030314634 Category : Computers Languages : en Pages : 245
Book Description
The book includes both invited and contributed chapters dealing with advanced methods and theoretical development for the analysis of social networks and applications in numerous disciplines. Some authors explore new trends related to network measures, multilevel networks and clustering on networks, while other contributions deepen the relationship among statistical methods for data mining and social network analysis. Along with the new methodological developments, the book offers interesting applications to a wide set of fields, ranging from the organizational and economic studies, collaboration and innovation, to the less usual field of poetry. In addition, the case studies are related to local context, showing how the substantive reasoning is fundamental in social network analysis. The list of authors includes both top scholars in the field of social networks and promising young researchers. All chapters passed a double blind review process followed by the guest editors. This edited volume will appeal to students, researchers and professionals.
Author: Garry Robins Publisher: SAGE ISBN: 1473916720 Category : Social Science Languages : en Pages : 321
Book Description
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.
Author: Christopher McCarty Publisher: Guilford Publications ISBN: 146253838X Category : Business & Economics Languages : en Pages : 293
Book Description
Written at an introductory level, and featuring engaging case examples, this book reviews the theory and practice of personal and egocentric network research. This approach offers powerful tools for capturing the impact of overlapping, changing social relationships and contexts on individuals' attitudes and behavior. The authors provide solid guidance on the formulation of research questions; research design; data collection, including decisions about survey modes and sampling frames; the measurement of network composition and structure, including the use of name generators; and statistical modeling, from basic regression techniques to more advanced multilevel and dynamic models. Ethical issues in personal network research are addressed. User-friendly features include boxes on major published studies, end-of-chapter suggestions for further reading, and an appendix describing the main software programs used in the field.
Author: John Scott Publisher: SAGE ISBN: 152641225X Category : Social Science Languages : en Pages : 249
Book Description
Incorporating the most important and cutting-edge developments in the field, this bestselling text introduces newcomers to the key theories and techniques of social network analysis and guides more experienced analysts in their own research. New to This Edition: A chapter on data collection, covering a crucial phase of the research process Fully updated examples reiterate the continued importance of social network analysis in an increasingly interconnected world Detailed ‘Further Reading’ sections help you explore the wider literature Practical exercises including real-world examples of social networks enable you to apply your learning Expanded and brought right up-to-date, this classic text remains the indispensable guide to social network analysis for students, lecturers and researchers throughout the social sciences.
Author: Stanley Wasserman Publisher: SAGE ISBN: 0803943032 Category : Social Science Languages : en Pages : 320
Book Description
Social network analysis, a method for analyzing relationships between social entities, has expanded over the last decade as new research has been done in this area. How can these new developments be applied effectively in the behavioral and social sciences disciplines? In Advances in Social Network Analysis, a team of leading methodologists in network analysis addresses this issue. They explore such topics as ways to specify the network contents to be studied, how to select the method for representing network structures, how social network analysis has been used to study interorganizational relations via the resource dependence model, how to use a contact matrix for studying the spread of disease in epidemiology, and how cohesion and structural equivalence network theories relate to studying social influence. It also offers statistical models for social support networks. Advances in Social Network Analysis is useful for researchers involved in general research methods and qualitative methods, and who are interested in psychology and sociology.
Author: Brea L. Perry Publisher: Structural Analysis in the Soc ISBN: 110713143X Category : Political Science Languages : en Pages : 371
Book Description
An in-depth, comprehensive and practical guide to egocentric network analysis, focusing on fundamental theoretical, research design, and analytic issues.
Author: Xiaoming Fu Publisher: CRC Press ISBN: 1498736688 Category : Computers Languages : en Pages : 412
Book Description
The book addresses the issue of interdisciplinary understanding of collaboration on the topic of social network studies. Researchers and practitioners from various disciplines including sociology, computer science, socio-psychology, public health, complex systems, and management science have worked largely independently, each with quite different principles, terminologies, theories. and methodologies. The book aims to fill the gap among these disciplines with a number of the latest interdisciplinary collaboration studies.
Author: Emmanuel Lazega
Author: Emmanuel Lazega
Author: John McLevey
Author: Giancarlo Ragozini
Author: Garry Robins
Author: Christopher McCarty
Author: John Scott
Author: Stanley Wasserman
Author: Brea L. Perry
Author: Xiaoming Fu
Author: Craig M. Rawlings