Analyzing Social Networks Using R

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Analyzing Social Networks

Author : Stephen P Borgatti
Publisher : SAGE
ISBN 13 : 1446290565
Total Pages : 368 pages
Book Rating : 4.4/5 (462 download)

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Book Synopsis Analyzing Social Networks by : Stephen P Borgatti

Download or read book Analyzing Social Networks written by Stephen P Borgatti and published by SAGE. This book was released on 2013-05-14 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Analyzing Social Networks Using R

Author : Stephen P. Borgatti
Publisher : Sage Publications Limited
ISBN 13 : 9781529722482
Total Pages : 472 pages
Book Rating : 4.7/5 (224 download)

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Book Synopsis Analyzing Social Networks Using R by : Stephen P. Borgatti

Download or read book Analyzing Social Networks Using R written by Stephen P. Borgatti and published by Sage Publications Limited. This book was released on 2022-05-14 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 a range of statistical models including QAP and ERGM, giving you the tools to approach different types of networks Provides a fully integrated discussion of digital data and networks like Twitter, sociolab and Amazon Offers digital resources like practice datasets and worked examples that help you get to grips with R software

A User’s Guide to Network Analysis in R

Author : Douglas Luke
Publisher : Springer
ISBN 13 : 3319238833
Total Pages : 241 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis A User’s Guide to Network Analysis in R by : Douglas Luke

Download or read book A User’s Guide to Network Analysis in R written by Douglas Luke and published by Springer. This book was released on 2015-12-14 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presenting a comprehensive resource for the mastery of network analysis in R, the goal of Network Analysis with R is to introduce modern network analysis techniques in R to social, physical, and health scientists. The mathematical foundations of network analysis are emphasized in an accessible way and readers are guided through the basic steps of network studies: network conceptualization, data collection and management, network description, visualization, and building and testing statistical models of networks. As with all of the books in the Use R! series, each chapter contains extensive R code and detailed visualizations of datasets. Appendices will describe the R network packages and the datasets used in the book. An R package developed specifically for the book, available to readers on GitHub, contains relevant code and real-world network datasets as well.

Statistical Analysis of Network Data with R

Author : Eric D. Kolaczyk
Publisher : Springer
ISBN 13 : 1493909835
Total Pages : 214 pages
Book Rating : 4.4/5 (939 download)

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Book Synopsis Statistical Analysis of Network Data with R by : Eric D. Kolaczyk

Download or read book Statistical Analysis of Network Data with R written by Eric D. Kolaczyk and published by Springer. This book was released on 2014-05-22 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: Networks have permeated everyday life through everyday realities like the Internet, social networks, and viral marketing. As such, network analysis is an important growth area in the quantitative sciences, with roots in social network analysis going back to the 1930s and graph theory going back centuries. Measurement and analysis are integral components of network research. As a result, statistical methods play a critical role in network analysis. This book is the first of its kind in network research. It can be used as a stand-alone resource in which multiple R packages are used to illustrate how to conduct a wide range of network analyses, from basic manipulation and visualization, to summary and characterization, to modeling of network data. The central package is igraph, which provides extensive capabilities for studying network graphs in R. This text builds on Eric D. Kolaczyk’s book Statistical Analysis of Network Data (Springer, 2009).

Social Network Analysis

Author : Mohammad Gouse Galety
Publisher : John Wiley & Sons
ISBN 13 : 1119836735
Total Pages : 260 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Social Network Analysis by : Mohammad Gouse Galety

Download or read book Social Network Analysis written by Mohammad Gouse Galety and published by John Wiley & Sons. This book was released on 2022-04-28 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: SOCIAL NETWORK ANALYSIS As social media dominates our lives in increasing intensity, the need for developers to understand the theory and applications is ongoing as well. This book serves that purpose. Social network analysis is the solicitation of network science on social networks, and social occurrences are denoted and premeditated by data on coinciding pairs as the entities of opinion. The book features: Social network analysis from a computational perspective using python to show the significance of fundamental facets of network theory and the various metrics used to measure the social network. An understanding of network analysis and motivations to model phenomena as networks. Real-world networks established with human-related data frequently display social properties, i.e., patterns in the graph from which human behavioral patterns can be analyzed and extracted. Exemplifies information cascades that spread through an underlying social network to achieve widespread adoption. Network analysis that offers an appreciation method to health systems and services to illustrate, diagnose, and analyze networks in health systems. The social web has developed a significant social and interactive data source that pays exceptional attention to social science and humanities research. The benefits of artificial intelligence enable social media platforms to meet an increasing number of users and yield the biggest marketplace, thus helping social networking analysis distribute better customer understanding and aiding marketers to target the right customers. Audience The book will interest computer scientists, AI researchers, IT and software engineers, mathematicians.

Social Network Analysis

Author : Christina Prell
Publisher : SAGE
ISBN 13 : 1446290131
Total Pages : 274 pages
Book Rating : 4.4/5 (462 download)

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Book Synopsis Social Network Analysis by : Christina Prell

Download or read book Social Network Analysis written by Christina Prell and published by SAGE. This book was released on 2011-10-26 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Publisher : SAGE
ISBN 13 : 1529765757
Total Pages : 332 pages
Book Rating : 4.5/5 (297 download)

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Book Synopsis Analyzing Social Networks Using R by : Stephen P. Borgatti

Download or read book Analyzing Social Networks Using R written by Stephen P. Borgatti and published by SAGE. This book was released on 2022-04-21 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Understanding Social Networks

Author : Charles Kadushin
Publisher : Oxford University Press
ISBN 13 : 0195379462
Total Pages : 265 pages
Book Rating : 4.1/5 (953 download)

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Book Synopsis Understanding Social Networks by : Charles Kadushin

Download or read book Understanding Social Networks written by Charles Kadushin and published by Oxford University Press. This book was released on 2012-01-19 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

R and Data Mining

Author : Yanchang Zhao
Publisher : Academic Press
ISBN 13 : 012397271X
Total Pages : 251 pages
Book Rating : 4.1/5 (239 download)

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Book Synopsis R and Data Mining by : Yanchang Zhao

Download or read book R and Data Mining written by Yanchang Zhao and published by Academic Press. This book was released on 2012-12-31 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: R and Data Mining introduces researchers, post-graduate students, and analysts to data mining using R, a free software environment for statistical computing and graphics. The book provides practical methods for using R in applications from academia to industry to extract knowledge from vast amounts of data. Readers will find this book a valuable guide to the use of R in tasks such as classification and prediction, clustering, outlier detection, association rules, sequence analysis, text mining, social network analysis, sentiment analysis, and more.Data mining techniques are growing in popularity in a broad range of areas, from banking to insurance, retail, telecom, medicine, research, and government. This book focuses on the modeling phase of the data mining process, also addressing data exploration and model evaluation.With three in-depth case studies, a quick reference guide, bibliography, and links to a wealth of online resources, R and Data Mining is a valuable, practical guide to a powerful method of analysis. - Presents an introduction into using R for data mining applications, covering most popular data mining techniques - Provides code examples and data so that readers can easily learn the techniques - Features case studies in real-world applications to help readers apply the techniques in their work

Social Network Analysis

Author : Song Yang
Publisher : SAGE Publications, Incorporated
ISBN 13 : 9781483325217
Total Pages : 0 pages
Book Rating : 4.3/5 (252 download)

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Book Synopsis Social Network Analysis by : Song Yang

Download or read book Social Network Analysis written by Song Yang and published by SAGE Publications, Incorporated. This book was released on 2016-12-02 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social Network Analysis: Methods and Examples by Song Yang, Franziska B. Keller, and Lu Zheng prepares social science students to conduct their own social network analysis (SNA) by covering basic methodological tools along with illustrative examples from various fields. This innovative book takes a conceptual rather than a mathematical approach as it discusses the connection between what SNA methods have to offer and how those methods are used in research design, data collection, and analysis. Four substantive applications chapters provide examples from politics, work and organizations, mental and physical health, and crime and terrorism studies.

Analyzing Social Media Networks with NodeXL

Author : Derek Hansen
Publisher : Morgan Kaufmann
ISBN 13 : 0123822300
Total Pages : 301 pages
Book Rating : 4.1/5 (238 download)

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Book Synopsis Analyzing Social Media Networks with NodeXL by : Derek Hansen

Download or read book Analyzing Social Media Networks with NodeXL written by Derek Hansen and published by Morgan Kaufmann. This book was released on 2010-09-14 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analyzing Social Media Networks with NodeXL offers backgrounds in information studies, computer science, and sociology. This book is divided into three parts: analyzing social media, NodeXL tutorial, and social-media network analysis case studies. Part I provides background in the history and concepts of social media and social networks. Also included here is social network analysis, which flows from measuring, to mapping, and modeling collections of connections. The next part focuses on the detailed operation of the free and open-source NodeXL extension of Microsoft Excel, which is used in all exercises throughout this book. In the final part, each chapter presents one form of social media, such as e-mail, Twitter, Facebook, Flickr, and Youtube. In addition, there are descriptions of each system, the nature of networks when people interact, and types of analysis for identifying people, documents, groups, and events. - Walks you through NodeXL, while explaining the theory and development behind each step, providing takeaways that can apply to any SNA - Demonstrates how visual analytics research can be applied to SNA tools for the mass market - Includes case studies from researchers who use NodeXL on popular networks like email, Facebook, Twitter, and wikis - Download companion materials and resources at https://nodexl.codeplex.com/documentation

Animal Social Networks

Author : Dr. Jens Krause
Publisher : Oxford University Press, USA
ISBN 13 : 0199679053
Total Pages : 279 pages
Book Rating : 4.1/5 (996 download)

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Book Synopsis Animal Social Networks by : Dr. Jens Krause

Download or read book Animal Social Networks written by Dr. Jens Krause and published by Oxford University Press, USA. This book was released on 2015 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book demonstrates the application of network theory to the social organization of animals.

The SAGE Handbook of Social Network Analysis

Author : John Scott
Publisher : SAGE Publications
ISBN 13 : 1847873952
Total Pages : 641 pages
Book Rating : 4.8/5 (478 download)

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Book Synopsis The SAGE Handbook of Social Network Analysis by : John Scott

Download or read book The SAGE Handbook of Social Network Analysis written by John Scott and published by SAGE Publications. This book was released on 2011-05-25 with total page 641 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Analysis and Education

Author : Brian V. Carolan
Publisher : SAGE Publications
ISBN 13 : 1483303519
Total Pages : 345 pages
Book Rating : 4.4/5 (833 download)

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Book Synopsis Social Network Analysis and Education by : Brian V. Carolan

Download or read book Social Network Analysis and Education written by Brian V. Carolan and published by SAGE Publications. This book was released on 2013-03-14 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 for Startups

Author : Maksim Tsvetovat
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449306462
Total Pages : 191 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Social Network Analysis for Startups by : Maksim Tsvetovat

Download or read book Social Network Analysis for Startups written by Maksim Tsvetovat and published by "O'Reilly Media, Inc.". This book was released on 2011-10-06 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: Does your startup rely on social network analysis? This concise guide provides a statistical framework to help you identify social processes hidden among the tons of data now available. Social network analysis (SNA) is a discipline that predates Facebook and Twitter by 30 years. Through expert SNA researchers, you'll learn concepts and techniques for recognizing patterns in social media, political groups, companies, cultural trends, and interpersonal networks. You'll also learn how to use Python and other open source tools—such as NetworkX, NumPy, and Matplotlib—to gather, analyze, and visualize social data. This book is the perfect marriage between social network theory and practice, and a valuable source of insight and ideas. Discover how internal social networks affect a company’s ability to perform Follow terrorists and revolutionaries through the 1998 Khobar Towers bombing, the 9/11 attacks, and the Egyptian uprising Learn how a single special-interest group can control the outcome of a national election Examine relationships between companies through investment networks and shared boards of directors Delve into the anatomy of cultural fads and trends—offline phenomena often mediated by Twitter and Facebook

Models for Social Networks With Statistical Applications

Author : Suraj Bandyopadhyay
Publisher : SAGE Publications
ISBN 13 : 1483305376
Total Pages : 250 pages
Book Rating : 4.4/5 (833 download)

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Book Synopsis Models for Social Networks With Statistical Applications by : Suraj Bandyopadhyay

Download or read book Models for Social Networks With Statistical Applications written by Suraj Bandyopadhyay and published by SAGE Publications. This book was released on 2010-06-02 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by a sociologist, a graph theorist, and a statistician, this title provides social network analysts and students with a solid statistical foundation from which to analyze network data. Clearly demonstrates how graph-theoretic and statistical techniques can be employed to study some important parameters of global social networks. The authors uses real life village-level social networks to illustrate the practicalities, potentials, and constraints of social network analysis ("SNA"). They also offer relevant sampling and inferential aspects of the techniques while dealing with potentially large networks. Intended Audience This supplemental text is ideal for a variety of graduate and doctoral level courses in social network analysis in the social, behavioral, and health sciences

Sentiment Analysis in Social Networks

Author : Federico Alberto Pozzi
Publisher : Morgan Kaufmann
ISBN 13 : 0128044381
Total Pages : 286 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Sentiment Analysis in Social Networks by : Federico Alberto Pozzi

Download or read book Sentiment Analysis in Social Networks written by Federico Alberto Pozzi and published by Morgan Kaufmann. This book was released on 2016-10-06 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiments, in order to create structured and actionable knowledge to be used by either a decision support system or a decision maker. Sentiment analysis has gained even more value with the advent and growth of social networking. Sentiment Analysis in Social Networks begins with an overview of the latest research trends in the field. It then discusses the sociological and psychological processes underling social network interactions. The book explores both semantic and machine learning models and methods that address context-dependent and dynamic text in online social networks, showing how social network streams pose numerous challenges due to their large-scale, short, noisy, context- dependent and dynamic nature. Further, this volume: - Takes an interdisciplinary approach from a number of computing domains, including natural language processing, machine learning, big data, and statistical methodologies - Provides insights into opinion spamming, reasoning, and social network analysis - Shows how to apply sentiment analysis tools for a particular application and domain, and how to get the best results for understanding the consequences - Serves as a one-stop reference for the state-of-the-art in social media analytics - Takes an interdisciplinary approach from a number of computing domains, including natural language processing, big data, and statistical methodologies - Provides insights into opinion spamming, reasoning, and social network mining - Shows how to apply opinion mining tools for a particular application and domain, and how to get the best results for understanding the consequences - Serves as a one-stop reference for the state-of-the-art in social media analytics