Social Network Analysis And Education

Social Network Analysis And Education Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Social Network Analysis And Education book. This book definitely worth reading, it is an incredibly well-written.

Social Network Analysis and Education

Author : Brian V. Carolan
Publisher : SAGE Publications
Page : 345 pages
File Size : 53,8 Mb
Release : 2013-03-14
Category : Social Science
ISBN : 9781483303512

Get Book

Social Network Analysis and Education by Brian V. Carolan Pdf

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 Theory and Educational Change

Author : Alan J. Daly
Publisher : Harvard Education Press
Page : 344 pages
File Size : 44,9 Mb
Release : 2010-12-01
Category : Education
ISBN : 9781612503769

Get Book

Social Network Theory and Educational Change by Alan J. Daly Pdf

Social Network Theory and Educational Change offers a provocative and fascinating exploration of how social networks in schools can impede or facilitate the work of education reform. Drawing on the work of leading scholars, the book comprises a series of studies examining networks among teachers and school leaders, contrasting formal and informal organizational structures, and exploring the mechanisms by which ideas, information, and influence flow from person to person and group to group. The case studies provided in the book reflect a rich variety of approaches and methodologies, showcasing the range and power of this dynamic new mode of analysis. An introductory chapter places social network theory in context and explains the basic tools and concepts, while a concluding chapter points toward new directions in the field. Taken together, they make a powerful statement: that the success or failure of education reform ultimately is not solely the result of technical plans and blueprints, but of the relational ties that support or constrain the pace, depth, and direction of change. This unique volume provides an invaluable introduction to an emerging and increasingly important field of education research.

Mixed Methods Social Network Analysis

Author : Dominik E. Froehlich,Martin Rehm,Bart C. Rienties
Publisher : Routledge
Page : 296 pages
File Size : 50,7 Mb
Release : 2019-12-09
Category : Computers
ISBN : 9780429557040

Get Book

Mixed Methods Social Network Analysis by Dominik E. Froehlich,Martin Rehm,Bart C. Rienties Pdf

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

Author : Brian V. Carolan
Publisher : Unknown
Page : 315 pages
File Size : 41,9 Mb
Release : 2013
Category : Education
ISBN : 1452270104

Get Book

Social Network Analysis and Education by Brian V. Carolan Pdf

This title provides an introduction to the theories, methods, and applications that constitute the social network perspective. Unlike more general texts, it is designed for those current and aspiring educational researchers learning how to study, conceptualize, and analyze social networks. The author'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.

The Oxford Handbook of Social Networks

Author : Ryan Light,James Moody
Publisher : Oxford University Press, USA
Page : 697 pages
File Size : 41,8 Mb
Release : 2020-12-04
Category : Social Science
ISBN : 9780190251765

Get Book

The Oxford Handbook of Social Networks by Ryan Light,James Moody Pdf

"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"--

Computational Intelligence in Digital Pedagogy

Author : Arpan Deyasi,Soumen Mukherjee,Anirban Mukherjee,Arup Kumar Bhattacharjee,Arindam Mondal
Publisher : Springer Nature
Page : 305 pages
File Size : 45,7 Mb
Release : 2020-11-19
Category : Technology & Engineering
ISBN : 9789811587443

Get Book

Computational Intelligence in Digital Pedagogy by Arpan Deyasi,Soumen Mukherjee,Anirban Mukherjee,Arup Kumar Bhattacharjee,Arindam Mondal Pdf

This book is a useful guide for the teaching fraternity, administrators and education technology professionals to make good use of AI across outcome-based technical education (OBTE) ecosystem and infuse innovations and affordable digital technologies to traditional pedagogic processes to make teaching-learning more independent of human factor (teacher/student quality), time and place and at the same time more impactful and enjoyable for the learners. Providing access to the digital media and learning tools (even to the extent of mobile apps) to the students would allow them to keep pace with innovations in learning technologies, learn according to their own pace and improve their understanding level and have instantaneous feedback and evaluation. The book explores these new challenges and scope of using computational intelligence in educational technology. The book also addresses how based on the data collected from the outcome of conventional educational system, intelligent diagnostic and feedback system is developed which will change the teaching strategies and corresponding teaching-learning process. The book covers a wider framework of digital pedagogy and its intelligent applications on various sectors of education system.

Applied Social Network Analysis With R: Emerging Research and Opportunities

Author : Gençer, Mehmet
Publisher : IGI Global
Page : 284 pages
File Size : 43,5 Mb
Release : 2020-02-07
Category : Computers
ISBN : 9781799819141

Get Book

Applied Social Network Analysis With R: Emerging Research and Opportunities by Gençer, Mehmet Pdf

Understanding the social relations within the fields of business and economics is vital for the promotion of success within a certain organization. Analytics and statistics have taken a prominent role in marketing and management practices as professionals are constantly searching for a competitive advantage. Converging these technological tools with traditional methods of business relations is a trending area of research. Applied Social Network Analysis With R: Emerging Research and Opportunities is an essential reference source that materializes and analyzes the issue of structure in terms of its effects on human societies and the state of the individuals in these communities. Even though the theme of the book is business-oriented, an approach underlining and strengthening the ties of this field of study with social sciences for further development is adopted throughout. Therefore, the knowledge presented is valid for analyzing not only the organization of the business world but also for the organization of any given community. Featuring research on topics such as network visualization, graph theory, and micro-dynamics, this book is ideally designed for researchers, practitioners, business professionals, managers, programmers, academicians, and students seeking coverage on analyzing social and business networks using modern methods of statistics, programming, and data sets.

Social Network Analysis with Applications

Author : Ian McCulloh,Helen Armstrong,Anthony Johnson
Publisher : John Wiley & Sons
Page : 320 pages
File Size : 53,6 Mb
Release : 2013-07-01
Category : Technology & Engineering
ISBN : 9781118644683

Get Book

Social Network Analysis with Applications by Ian McCulloh,Helen Armstrong,Anthony Johnson Pdf

A comprehensive introduction to social network analysis that hones in on basic centrality measures, social links, subgroup analysis, data sources, and more Written by military, industry, and business professionals, this book introduces readers to social network analysis, the new and emerging topic that has recently become of significant use for industry, management, law enforcement, and military practitioners for identifying both vulnerabilities and opportunities in collaborative networked organizations. Focusing on models and methods for the analysis of organizational risk, Social Network Analysis with Applications provides easily accessible, yet comprehensive coverage of network basics, centrality measures, social link theory, subgroup analysis, relational algebra, data sources, and more. Examples of mathematical calculations and formulas for social network measures are also included. Along with practice problems and exercises, this easily accessible book covers: The basic concepts of networks, nodes, links, adjacency matrices, and graphs Mathematical calculations and exercises for centrality, the basic measures of degree, betweenness, closeness, and eigenvector centralities Graph-level measures, with a special focus on both the visual and numerical analysis of networks Matrix algebra, outlining basic concepts such as matrix addition, subtraction, multiplication, and transpose and inverse calculations in linear algebra that are useful for developing networks from relational data Meta-networks and relational algebra, social links, diffusion through networks, subgroup analysis, and more An excellent resource for practitioners in industry, management, law enforcement, and military intelligence who wish to learn and apply social network analysis to their respective fields, Social Network Analysis with Applications is also an ideal text for upper-level undergraduate and graduate level courses and workshops on the subject.

Social Network Analysis

Author : Christina Prell
Publisher : SAGE
Page : 274 pages
File Size : 55,6 Mb
Release : 2011-10-26
Category : Social Science
ISBN : 9781446290132

Get Book

Social Network Analysis by Christina Prell Pdf

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. Available with Perusall—an eBook that makes it easier to prepare for class Perusall is an award-winning eBook platform featuring social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective. Learn more.

Analyzing Social Networks Using R

Author : Stephen P. Borgatti,Martin G. Everett,Jeffrey C. Johnson,Filip Agneessens
Publisher : SAGE
Page : 332 pages
File Size : 43,9 Mb
Release : 2022-04-21
Category : Social Science
ISBN : 9781529765755

Get Book

Analyzing Social Networks Using R by Stephen P. Borgatti,Martin G. Everett,Jeffrey C. Johnson,Filip Agneessens Pdf

This approachable book introduces network research in R, walking you through every step of doing social network analysis. Drawing together research design, data collection and data analysis, it explains the core concepts of network analysis in a non-technical way. The book balances an easy to follow explanation of the theoretical and statistical foundations underpinning network analysis with practical guidance on key steps like data management, preparation and visualisation. With clarity and expert insight, it: • Discusses measures and techniques for analyzing social network data, including digital media • Explains a range of statistical models including QAP and ERGM, giving you the tools to approach different types of networks • Offers digital resources like practice datasets and worked examples that help you get to grips with R software

Exploratory Social Network Analysis with Pajek

Author : Wouter de Nooy,Andrej Mrvar,Vladimir Batagelj
Publisher : Cambridge University Press
Page : 362 pages
File Size : 47,9 Mb
Release : 2005-01-10
Category : Mathematics
ISBN : 0521841739

Get Book

Exploratory Social Network Analysis with Pajek by Wouter de Nooy,Andrej Mrvar,Vladimir Batagelj Pdf

This is the first textbook on social network analysis integrating theory, applications, and professional software for performing network analysis. The book introduces the main concepts and their applications in social research with exercises. An application section explaining how to perform the network analyses with Pajek software follows each theoretical section.

Hidden Link Prediction in Stochastic Social Networks

Author : Pandey, Babita,Khamparia, Aditya
Publisher : IGI Global
Page : 281 pages
File Size : 53,6 Mb
Release : 2019-05-03
Category : Computers
ISBN : 9781522590972

Get Book

Hidden Link Prediction in Stochastic Social Networks by Pandey, Babita,Khamparia, Aditya Pdf

Link prediction is required to understand the evolutionary theory of computing for different social networks. However, the stochastic growth of the social network leads to various challenges in identifying hidden links, such as representation of graph, distinction between spurious and missing links, selection of link prediction techniques comprised of network features, and identification of network types. Hidden Link Prediction in Stochastic Social Networks concentrates on the foremost techniques of hidden link predictions in stochastic social networks including methods and approaches that involve similarity index techniques, matrix factorization, reinforcement, models, and graph representations and community detections. The book also includes miscellaneous methods of different modalities in deep learning, agent-driven AI techniques, and automata-driven systems and will improve the understanding and development of automated machine learning systems for supervised, unsupervised, and recommendation-driven learning systems. It is intended for use by data scientists, technology developers, professionals, students, and researchers.

Models for Social Networks With Statistical Applications

Author : Suraj Bandyopadhyay,A R. Rao,Bikas Kumar Sinha,Bikas K. Sinha
Publisher : SAGE
Page : 257 pages
File Size : 50,8 Mb
Release : 2011
Category : Social Science
ISBN : 9781412941686

Get Book

Models for Social Networks With Statistical Applications by Suraj Bandyopadhyay,A R. Rao,Bikas Kumar Sinha,Bikas K. Sinha Pdf

The study of social networks is a new but fast widening multidisciplinary area involving social, mathematical, statistical and computer sciences for application in diverse social environments; in the latter sciences, and specially for the field of Economics. It has its own parameters and methodological tools. In 'Models for Social Networks with Statistical Applications', the authors show how graph-theoretic and statistical techniques can be used to study some important parameters of global social networks and illustrate their use in social science studies with some examples in real life survey data.

Encyclopedia of Social Network Analysis and Mining

Author : Reda Alhajj,Jon Rokne
Publisher : Springer
Page : 0 pages
File Size : 47,7 Mb
Release : 2018-05-02
Category : Computers
ISBN : 1493971301

Get Book

Encyclopedia of Social Network Analysis and Mining by Reda Alhajj,Jon Rokne Pdf

The Encyclopedia of Social Network Analysis and Mining (ESNAM) is the first major reference work to integrate fundamental concepts and research directions in the areas of social networks and applications to data mining. The second edition of ESNAM is a truly outstanding reference appealing to researchers, practitioners, instructors and students (both undergraduate and graduate), as well as the general public. This updated reference integrates all basics concepts and research efforts under one umbrella. Coverage has been expanded to include new emerging topics such as crowdsourcing, opinion mining, and sentiment analysis. Revised content of existing material keeps the encyclopedia current. The second edition is intended for college students as well as public and academic libraries. It is anticipated to continue to stimulate more awareness of social network applications and research efforts. The advent of electronic communication, and in particular on-line communities, have created social networks of hitherto unimaginable sizes. Reflecting the interdisciplinary nature of this unique field, the essential contributions of diverse disciplines, from computer science, mathematics, and statistics to sociology and behavioral science, are described among the 300 authoritative yet highly readable entries. Students will find a world of information and insight behind the familiar façade of the social networks in which they participate. Researchers and practitioners will benefit from a comprehensive perspective on the methodologies for analysis of constructed networks, and the data mining and machine learning techniques that have proved attractive for sophisticated knowledge discovery in complex applications. Also addressed is the application of social network methodologies to other domains, such as web networks and biological networks.

Social Network Analysis in Construction

Author : Stephen Pryke
Publisher : John Wiley & Sons
Page : 290 pages
File Size : 54,9 Mb
Release : 2012-05-07
Category : Technology & Engineering
ISBN : 9781118343920

Get Book

Social Network Analysis in Construction by Stephen Pryke Pdf

Social Network Analysis in Construction Increasingly demanding and knowledgeable clients in construction require an approach to project management that recognises both the important role played by the client in the definition of a project and the lack of certainty that large and/or complex projects present. Having identified the importance of managing relationships, both analysts and practitioners today need a sophisticated framework and methodology for observing systems and managing the complex relationships in major construction project coalitions. Social Network Analysis in Construction shows how social network analysis (SNA) can be used to observe, monitor and analyse systems and relationships. Although this has been an established analytical technique in the US for some time, it is only now being developed in the UK. Stephen Pryke spent nearly two decades investigating major project relationships using SNA and brings together here mathematical and sociological methods, and major project relationships in a manner that will inspire both academic interest and a desire to apply these concepts and techniques to live construction projects. Case studies include projects from two of the UK’s largest property developers – the UK Ministry of Defence, and a County Council. SNA is innovative – but potentially inaccessible to project management analysts and practitioners. The author provides clear and relevant explanation and illustration of the possibilities of using SNA in a major project environment. In addition to offering the potential for sophisticated retrospective analysis of a wide range of systems associated with construction and engineering project coalitions, he also looks at how we might apply the network analysis findings to the design and management of project and supply chain networks. Postgraduate students and academic researchers in Project Management and Construction Management, as well as practitioners from professional consultancies and project management companies will find here an excellent exposition of an often inaccessible subject.