Social Network Analysis And Education

Author: Brian V. Carolan
Publisher: SAGE Publications
ISBN: 1483320790
Size: 29.56 MB
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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.

Social Network Analysis And Education

Author: Brian V. Carolan
Publisher: SAGE Publications
ISBN: 1483303519
Size: 16.19 MB
Format: PDF
View: 5428
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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.

Social Network Analysis

Author: Christina Prell
Publisher: SAGE
ISBN: 1446290131
Size: 80.48 MB
Format: PDF
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We live in a world that is paradoxically both small and vast; each of us is embedded in local communities and yet we are only a few 'links' away from anyone else in the world. This engaging book represents these interdependencies' positive and negative consequences, their multiple effects and the ways in which a local occurrence in one part of the world can directly affect the rest. Then it demonstrates precisely how these interactions and relationships form. This is a book for the social network novice learning how to study, think about and analyse social networks; the intermediate user, not yet familiar with some of the newer developments in the field; and the teacher looking for a range of exercises, as well as an up-to-date historical account of the field. It is divided into three clear sections: 1. historical & Background Concepts 2. Levels of Analysis 3. Advances, Extensions and Conclusions The book provides a full overview of the field - historical origins, common theoretical perspectives and frameworks; traditional and current analytical procedures and fundamental mathematical equations needed to get a foothold in the field.

Social Network Analysis

Author: Stanley Wasserman
Publisher: Cambridge University Press
ISBN: 1139788612
Size: 63.91 MB
Format: PDF, ePub
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Social network analysis is used widely in the social and behavioral sciences, as well as in economics, marketing, and industrial engineering. The social network perspective focuses on relationships among social entities and is an important addition to standard social and behavioral research, which is primarily concerned with attributes of the social units. Social Network Analysis: Methods and Applications reviews and discusses methods for the analysis of social networks with a focus on applications of these methods to many substantive examples. It is a reference book that can be used by those who want a comprehensive review of network methods, or by researchers who have gathered network data and want to find the most appropriate method by which to analyze it. It is also intended for use as a textbook as it is the first book to provide comprehensive coverage of the methodology and applications of the field.

Multilevel Network Analysis For The Social Sciences

Author: Emmanuel Lazega
Publisher: Springer
ISBN: 3319245201
Size: 45.83 MB
Format: PDF, Mobi
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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. ​

Exponential Random Graph Models For Social Networks

Author: Dean Lusher
Publisher: Cambridge University Press
ISBN: 0521193567
Size: 47.66 MB
Format: PDF
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This book provides an account of the theoretical and methodological underpinnings of exponential random graph models (ERGMs).

Social Network Analysis

Author: John Scott
Publisher: SAGE
ISBN: 152641225X
Size: 70.87 MB
Format: PDF, ePub, Mobi
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With a new chapter on social media, new worked examples, and better addressing the needs of the newcomer (whilst still remaining authoritative), this Fourth Edition continues to be an invaluable resource in introducing readers to the theories and techniques of social network analysis

The Sage Handbook Of Social Network Analysis

Author: John Scott
Publisher: SAGE Publications
ISBN: 1847873952
Size: 34.76 MB
Format: PDF, ePub, Mobi
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This sparkling Handbook offers an unrivalled resource for those engaged in the cutting edge field of social network analysis. Systematically, it introduces readers to the key concepts, substantive topics, central methods and prime debates. Among the specific areas covered are: Network theory Interdisciplinary applications Online networks Corporate networks Lobbying networks Deviant networks Measuring devices Key Methodologies Software applications. The result is a peerless resource for teachers and students which offers a critical survey of the origins, basic issues and major debates. The Handbook provides a one-stop guide that will be used by readers for decades to come.

Social Network Theory And Educational Change

Author: Alan J. Daly
Publisher:
ISBN: 9781934742815
Size: 31.73 MB
Format: PDF, ePub
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"Social Network Theory and Educational Change "addresses social networks in school. Do they improve productivity or hinder school growth and change? The editor investigates how the flow of information through networks impacts education reform as a whole.

Social Network Analysis For Startups

Author: Maksim Tsvetovat
Publisher: "O'Reilly Media, Inc."
ISBN: 1449306462
Size: 57.67 MB
Format: PDF, ePub, Docs
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SNA techniques are derived from sociological and social-psychological theories and take into account the whole network (or, in case of very large networks such as Twitter -- a large segment of the network). Thus, we may arrive at results that may seem counter-intuitive -- e.g. that Jusin Bieber (7.5 mil. followers) and Lady Gaga (7.2 mil. followers) have relatively little actual influence despite their celebrity status -- while a middle-of-the-road blogger with 30K followers is able to generate tweets that "go viral" and result in millions of impressions. O'Reilly's "Mining Social Media" and "Programming Collective Intelligence" books are an excellent start for people inteseted in SNA. This book builds on these books' foundations to teach a new, pragmatic, way of doing SNA. I would like to write a book that links theory ("why is this important?", "how do various concepts interact?", "how do I interpret quantitative results?") and practice -- gathering, analyzing and visualizing data using Python and other open-source tools.