Networking Research

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.

How can we deal with the diversity of theories in mathematics education? This was the main question that led the authors of this book to found the Networking Theories Group. Starting from the shared assumption that the existence of different theories is a resource for mathematics education research, the authors have explored the possibilities of interactions between theories, such as contrasting, coordinating, and locally integrating them. The book explains and illustrates what it means to network theories; it presents networking as a challenging but fruitful research practice and shows how the Group dealt with this challenge considering five theoretical approaches, namely the approach of Action, Production, and Communication (APC), the Theory of Didactical Situations (TDS), the Anthropological Theory of the Didactic (ATD), the approach of Abstraction in Context (AiC), and the Theory of Interest-Dense Situations (IDS). A synthetic presentation of each theory and their connections shows how the activity of networking generates questions at the theoretical, methodological and practical levels and how the work on these questions leads to both theoretical and practical progress. The core of the book consists of four new networking case studies which illustrate what exactly can be gained by this approach and what kind of difficulties might arise.

The educational world is increasingly dominated by 'network rhetoric'; not only are teachers and learners seen as participants in networks, the availability of low-cost electronic devices, collaborative environments and new forms of data 'born digital' have changed the nature of education research. How can researchers and research-informed practitioners best engage in and with networks and develop effective networking practices? How might networks and networking be conceptualized in order to frame and support their work in and on networks? How do networks relate to existing organizational forms and how might new networking practices emerge? This book draws on extensive research into educational research networks in schools, colleges and informal education settings to explore these questions. Carmichael combines theoretical insights into networks from different disciplinary backgrounds and awareness of technological developments, with the accounts of teachers, researchers, and technologists. He considers how educational research as a field is changing, how individual and collective research capacities might develop, identifies new research approaches and discusses the emerging role of the 'researcher-networker'.

Management methodology and its applicability in society has changed drastically during the COVID-19 pandemic. Organizations have had to adopt new forms of resilience based on the needs of a different consumer. The COVID-19 market is a challenge for both producers and consumers as it meets new needs and a new capacity of merchandising. The Handbook of Research on Global Networking Post-COVID-19 fully unleashes the broad potential of entrepreneurial activity by exploring and highlighting new businesses and, as a result, the well-being of millions of people globally throughout the COVID-19 pandemic and prospects for the future. Delving into topics such as student empowerment, economic sectors, and personal finance, this book is an essential resource for managers, CEOs, consultants, faculty of higher education, students, researchers, policymakers, and academicians.

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.

Addresses current issues of research into socio-technical systems (STSs). Provides suggestions on how social knowledge can synergize with technical knowledge.

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 Best of the Best: Fifty Years of Communications and Networking Research consists of a group of 50 papers selected as the best published by ComSoc in its various journals in the Society’s 50-year history. The editors of the collection have written an essay to introduce the papers and discuss the historical significance of the collection and how they were selected for the collection. The book divides the papers into two major categories (Communications and Networking) and groups them by decade within these major subdivisions.

Perspectives on Social Network Research covers the proceedings of the Mathematical Social Science Board's Advanced Research Symposium on Social Networks held at Dartmouth College, Hanover, New Hampshire, on September 18-21, 1975. This symposium was organized to survey research on social networks as well as review and criticize major research thrusts involving network studies of social behavior. The book covers topics such as the Davis/Holland/Leinhardt studies, structural sociometry, network analysis of the diffusion of innovations, and the deterministic models of social networks. Also covered are topics such as structural control models for group processes, social clusters and opinion clusters, equilibrating processes in social networks, and estimation of population totals by use of snowball samples. The text is recommended for sociologists, anthropologists, and psychologists, especially those who would like to know more about social network and are currently engaged in research in that particular field.