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Social Network Analysis for Ego-Nets

Social Network Analysis for Ego-Nets PDF Author: Nick Crossley
Publisher: SAGE
ISBN: 1473911869
Category : Social Science
Languages : en
Pages : 208

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Book Description
The ego-net approach to social network analysis, which takes discrete individual actors and their contacts as its starting point, is one of the most widely used approaches in the field. This is the first textbook to take readers through each stage of ego-net research, from conception, through research design and data gathering to analysis. It starts with the basics, assuming no prior knowledge of social network analysis, but then moves on to introduce cutting edge innovations, covering both new statistical approaches to ego-net analysis and also the most recent thinking on mixing methods (quantitative and qualitative) to achieve depth and rigour. It is an absolute must for anybody wishing to explore the importance of networks.

Social Network Analysis for Ego-Nets

Social Network Analysis for Ego-Nets PDF Author: Nick Crossley
Publisher: SAGE
ISBN: 1473911869
Category : Social Science
Languages : en
Pages : 208

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Book Description
The ego-net approach to social network analysis, which takes discrete individual actors and their contacts as its starting point, is one of the most widely used approaches in the field. This is the first textbook to take readers through each stage of ego-net research, from conception, through research design and data gathering to analysis. It starts with the basics, assuming no prior knowledge of social network analysis, but then moves on to introduce cutting edge innovations, covering both new statistical approaches to ego-net analysis and also the most recent thinking on mixing methods (quantitative and qualitative) to achieve depth and rigour. It is an absolute must for anybody wishing to explore the importance of networks.

Social Network Analysis

Social Network Analysis PDF Author: Nick Crossley
Publisher: SAGE Publications Limited
ISBN: 9781446267776
Category : Social Science
Languages : en
Pages : 224

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Book Description
The highly respected team at Manchester University discuss both qualitative, quantitative and mixed approaches, introducing the reader to both basic and foundational methods. These are then applied to the cutting edge of contemporary social network analysis. An essential read for undergraduate students and non-academic researchers as well as postgraduate and professional academic researchers, this book will appeal to researchers in all branches of social science (including sociology, anthropology, psychology, political science, geography and economics), applied and pure, as well as statistics.

Social Network Analysis

Social Network Analysis PDF Author: David Knoke
Publisher: SAGE Publications
ISBN: 1506389295
Category : Social Science
Languages : en
Pages : 200

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Book Description
David Knoke and Song Yang′s Social Network Analysis, Third Edition provides a concise introduction to the concepts and tools of social network analysis. The authors convey key material while at the same time minimizing technical complexities. The examples are simple: sets of 5 or 6 entities such as individuals, positions in a hierarchy, political offices, and nation-states, and the relations between them include friendship, communication, supervision, donations, and trade. The new edition reflects developments and changes in practice over the past decade. The authors also describe important recent developments in network analysis, especially in the fifth chapter. Exponential random graph models (ERGMs) are a prime example: when the second edition was published, P* models were the recommended approach for this, but they have been replaced by ERGMs. Finally, throughout the volume, the authors comment on the challenges and opportunities offered by internet and social media data.

Towards a Collaborative Memory

Towards a Collaborative Memory PDF Author: Sara Jones
Publisher: Berghahn Books
ISBN: 1800735960
Category : History
Languages : en
Pages : 254

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Book Description
Focusing on the memory of the German Democratic Republic, Towards a Collaborative Memory explores the cross-border collaborations of three German institutions. Using an innovative theoretical and methodological framework, drawing on relational sociology, network analysis and narrative, the study highlights the epistemic coloniality that has underpinned global partnerships across European actors and institutions. Sara Jones reconceptualizes transnational memory towards an approach that is collaborative not only in its practices, but also in its ethics, and shows how these institutions position themselves within dominant relationship cultures reflected between East and West, and North and South.

Social Network Analysis for Ego-Nets

Social Network Analysis for Ego-Nets PDF Author: Nick Crossley
Publisher: SAGE Publications Limited
ISBN: 9781473911864
Category : Social Science
Languages : en
Pages : 208

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Book Description
The ego-net approach to social network analysis, which takes discrete individual actors and their contacts as its starting point, is one of the most widely used approaches in the field. This is the first textbook to take readers through each stage of ego-net research, from conception, through research design and data gathering to analysis. It starts with the basics, assuming no prior knowledge of social network analysis, but then moves on to introduce cutting edge innovations, covering both new statistical approaches to ego-net analysis and also the most recent thinking on mixing methods (quantitative and qualitative) to achieve depth and rigour. It is an absolute must for anybody wishing to explore the importance of networks.

Social Networks and Music Worlds

Social Networks and Music Worlds PDF Author: Nick Crossley
Publisher: Routledge
ISBN: 1317964756
Category : Social Science
Languages : en
Pages : 252

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Book Description
Social networks are critical for the creation and consumption of music. This edited collection, Social Networks and Music Worlds, introduces students and scholars of music in society to the core concepts and tools of social network analysis. The collection showcases the use of these tools by sociologists, historians and musicologists, examining a variety of distinct 'music worlds', including post-punk, jazz, rap, folk, classical music, Ladyfest and the world of 'open mic' performances, on a number of different scales (local, national and international). In addition to their overarching Introduction, the editors offer a very clear and detailed introduction to the methodology of social network analysis for the uninitiated. The collection builds upon insights from canonic texts in the sociology of music, with the crucial innovation of examining musical network interaction via formal methods. With network analysis in the arts and humanities at an emergent stage, Social Networks and Music Worlds highlights its possibilities for non-scientists. Contributions hail from leading and emerging scholars who present social network graphs and data to represent different music worlds, locating individuals, resources and styles within them. The collection sits at the nexus of sociological, musicological and cultural studies traditions. Its range should ensure a large scholarly readership.

Social Network Analysis

Social Network Analysis PDF Author: David Knoke
Publisher: SAGE Publications
ISBN: 1506389309
Category : Social Science
Languages : en
Pages : 200

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Book Description
David Knoke and Song Yang's Social Network Analysis, Third Edition provides a concise introduction to the concepts and tools of social network analysis. The authors convey key material while at the same time minimizing technical complexities. The examples are simple: sets of 5 or 6 entities such as individuals, positions in a hierarchy, political offices, and nation-states, and the relations between them include friendship, communication, supervision, donations, and trade. The new edition reflects developments and changes in practice over the past decade. The authors also describe important recent developments in network analysis, especially in the fifth chapter. Exponential random graph models (ERGMs) are a prime example: when the second edition was published, P* models were the recommended approach for this, but they have been replaced by ERGMs. Finally, throughout the volume, the authors comment on the challenges and opportunities offered by internet and social media data.

Egocentric Network Analysis

Egocentric Network Analysis PDF Author: Brea L. Perry
Publisher: Structural Analysis in the Soc
ISBN: 110713143X
Category : Political Science
Languages : en
Pages : 354

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Book Description
An in-depth, comprehensive and practical guide to egocentric network analysis, focusing on fundamental theoretical, research design, and analytic issues.

Personal network analysis

Personal network analysis PDF Author: Luigi Tronca
Publisher: FrancoAngeli
ISBN: 8820408465
Category : Social Science
Languages : en
Pages : 212

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Book Description


Analyzing Social Networks

Analyzing Social Networks PDF Author: Stephen P Borgatti
Publisher: SAGE
ISBN: 1526418487
Category : Social Science
Languages : en
Pages : 384

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Book Description
Designed to walk beginners through core aspects of collecting, visualizing, analyzing, and interpreting social network data, this book will get you up-to-speed on the theory and skills you need to conduct social network analysis. Using simple language and equations, the authors provide expert, clear insight into every step of the research process -- including basic maths principles -- without making assumptions about what you know. With a particular focus on NetDraw and UCINET, the book introduces relevant software tools step-by-step in an easy to follow way. In addition to the fundamentals of network analysis and the research process, this new edition focuses on: Digital data and social networks like Twitter Statistical models to use in SNA, like QAP and ERGM The structure and centrality of networks Methods for cohesive subgroups/community detection Supported by new chapter exercises, a glossary, and a fully updated companion website, this edition is the perfect student-friendly introduction to social network analysis.