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Introducing Social Networks

Introducing Social Networks
Author: Alain Degenne
Publisher: SAGE
Total Pages: 257
Release: 1999-06-09
Genre: Social Science
ISBN: 1847876846

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This first-rate introduction to the study of social networks combines a hands-on manual with an up-to-date review of the latest research and techniques. The authors provide a thorough grounding in the application of the methods of social network analysis. They offer an understanding of the theory of social structures in which social network analysis is grounded, a summary of the concepts needed for dealing with more advanced techniques, and guides for using the primary computer software packages for social network analysis.


Social Networks

Social Networks
Author: Jeroen Bruggeman
Publisher: Routledge
Total Pages: 205
Release: 2013-05-13
Genre: Social Science
ISBN: 1134048203

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Social Networks: An Introduction is the first textbook that combines new with still-valuable older methods and theories. Designed to be a core text for graduate (and some undergraduate) courses in a variety of disciplines it is well-suited for everybody who makes a first encounter with the field of social networks, both academics and practitioners. This book includes reviews, study questions and text boxes as well as using innovative pedagogy to explain mathematical models and concepts. Examples ranging from anthropology to organizational sociology and business studies ensure wide applicability. An easy to use software tool, free of charge and open source, is appended on the supporting website that enables readers to depict and analyze networks of their interest. It is essential reading for students in sociology, anthropology, and business studies and can be used as secondary material for courses in economics and political science.


Models for Social Networks With Statistical Applications

Models for Social Networks With Statistical Applications
Author: Suraj Bandyopadhyay
Publisher: SAGE
Total Pages: 257
Release: 2011
Genre: Social Science
ISBN: 1412941687

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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.


Understanding Social Networks

Understanding Social Networks
Author: Charles Kadushin
Publisher: Oxford University Press
Total Pages: 265
Release: 2012-01-19
Genre: Business & Economics
ISBN: 0195379462

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Understanding Social Networks explains the big ideas that underlie social networks, covering fundamental concepts then discussing networks and their core themes in increasing order of complexity.


Introducing Social Networks

Introducing Social Networks
Author: Alain Degenne
Publisher: SAGE
Total Pages: 260
Release: 1999-08-09
Genre: Reference
ISBN: 9780761956044

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1.Social relationships and networks 2.Personal networks and local circles 3.Graph theory 4. Equivalence and cohesion 5.Social capital 6.Power and centrality 7.Dynamics 8.Multiple affiliations.


Analyzing Social Networks

Analyzing Social Networks
Author: Stephen P Borgatti
Publisher: SAGE
Total Pages: 368
Release: 2013-05-14
Genre: Social Science
ISBN: 1446290565

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Written by a stellar team of experts, Analyzing Social Networks is a practical book on how to collect, visualize, analyze and interpret social network data with a particular emphasis on the use of the software tools UCINET and Netdraw. The book includes a clear and detailed introduction to the fundamental concepts of network analyses, including centrality, subgroups, equivalence and network structure, as well as cross-cutting chapters that helpfully show how to apply network concepts to different kinds of networks. Written using simple language and notation with few equations, this book masterfully covers the research process, including: · The initial design stage · Data collection and manipulation · Measuring key variables · Exploration of structure · Hypothesis testing · Interpretation This is an essential resource for students, researchers and practitioners across the social sciences who want to use network analysis as part of their research. 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.


Social Media Mining

Social Media Mining
Author: Reza Zafarani
Publisher: Cambridge University Press
Total Pages: 337
Release: 2014-04-28
Genre: Computers
ISBN: 1107018854

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Integrates social media, social network analysis, and data mining to provide an understanding of the potentials of social media mining.


Social Network Data Analytics

Social Network Data Analytics
Author: Charu C. Aggarwal
Publisher: Springer Science & Business Media
Total Pages: 508
Release: 2011-03-18
Genre: Computers
ISBN: 1441984623

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Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined for a variety of purposes. Social Network Data Analytics covers an important niche in the social network analytics field. This edited volume, contributed by prominent researchers in this field, presents a wide selection of topics on social network data mining such as Structural Properties of Social Networks, Algorithms for Structural Discovery of Social Networks and Content Analysis in Social Networks. This book is also unique in focussing on the data analytical aspects of social networks in the internet scenario, rather than the traditional sociology-driven emphasis prevalent in the existing books, which do not focus on the unique data-intensive characteristics of online social networks. Emphasis is placed on simplifying the content so that students and practitioners benefit from this book. This book targets advanced level students and researchers concentrating on computer science as a secondary text or reference book. Data mining, database, information security, electronic commerce and machine learning professionals will find this book a valuable asset, as well as primary associations such as ACM, IEEE and Management Science.


Social Network Analysis

Social Network Analysis
Author: Christina Prell
Publisher: SAGE
Total Pages: 274
Release: 2011-10-26
Genre: Social Science
ISBN: 1446290131

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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. 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.


Introduction to Social Media Investigation

Introduction to Social Media Investigation
Author: Jennifer Golbeck
Publisher: Syngress
Total Pages: 307
Release: 2015-03-14
Genre: Computers
ISBN: 012801802X

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If you’re interested in using social media as an investigative tool, Introduction to Social Media Investigation will show you how! Social networks and social media, like Facebook, Twitter, and Foursquare, are some of the most popular services on the Web, with hundreds of millions of users. The public information that people share on these sites can be valuable for anyone interested in investigating people of interest through open, public sources. Social media as an investigative device is in its infancy and not well understood. This book presents an overview of social media and discusses special skills and techniques to use when conducting investigations. The book features hands-on tutorials and case studies and offers additional data-gathering techniques. Presents an overview of social media sites, information types, privacy policies, and other general issues relevant to investigating individuals online Discusses the special skills and techniques needed when conducting investigations using social media Includes hands-on tutorials and case studies using Facebook, LinkedIn, Twitter, and other social media sites using proven investigative techniques Shows how to gather additional data using advanced techniques such as crowdsourcing, data mining, and network analysis