Analyzing the Social Web

Analyzing the Social Web
Author: Jennifer Golbeck
Publsiher: Newnes
Total Pages: 290
Release: 2013-02-17
ISBN 10: 0124058566
ISBN 13: 9780124058569
Language: EN, FR, DE, ES & NL

Analyzing the Social Web Book Review:

Analyzing the Social Web provides a framework for the analysis of public data currently available and being generated by social networks and social media, like Facebook, Twitter, and Foursquare. Access and analysis of this public data about people and their connections to one another allows for new applications of traditional social network analysis techniques that let us identify things like who are the most important or influential people in a network, how things will spread through the network, and the nature of peoples' relationships. Analyzing the Social Web introduces you to these techniques, shows you their application to many different types of social media, and discusses how social media can be used as a tool for interacting with the online public. Presents interactive social applications on the web, and the types of analysis that are currently conducted in the study of social media. Covers the basics of network structures for beginners, including measuring methods for describing nodes, edges, and parts of the network. Discusses the major categories of social media applications or phenomena and shows how the techniques presented can be applied to analyze and understand the underlying data. Provides an introduction to information visualization, particularly network visualization techniques, and methods for using them to identify interesting features in a network, generate hypotheses for analysis, and recognize patterns of behavior. Includes a supporting website with lecture slides, exercises, and downloadable social network data sets that can be used can be used to apply the techniques presented in the book.

Analyzing the Social Web

Analyzing the Social Web
Author: Jennifer Golbeck
Publsiher: Morgan Kaufmann
Total Pages: 264
Release: 2013
ISBN 10: 9780124055315
ISBN 13: 0124055311
Language: EN, FR, DE, ES & NL

Analyzing the Social Web Book Review:

Introduces a framework and techniques for the analysis and application of public data being generated by social networks and social media. Covers the basics of network structures for beginners, including measuring methods for describing nodes, edges, and parts of the network. Discusses the major categories of social media applications or phenomena and shows how the techniques presented can be applied to analyze and understand the underlying data.

Analyzing Social Networks

Analyzing Social Networks
Author: Stephen P Borgatti,Martin G Everett,Jeffrey C Johnson
Publsiher: SAGE
Total Pages: 384
Release: 2018-01-08
ISBN 10: 1526418460
ISBN 13: 9781526418463
Language: EN, FR, DE, ES & NL

Analyzing Social Networks Book Review:

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 Second 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 text is the perfect student-friendly introduction to social network analysis.

Analyzing Social Media Networks with NodeXL

Analyzing Social Media Networks with NodeXL
Author: Derek Hansen,Ben Shneiderman,Marc A. Smith,Itai Himelboim
Publsiher: Morgan Kaufmann
Total Pages: 248
Release: 2019-05-08
ISBN 10: 0128177578
ISBN 13: 9780128177570
Language: EN, FR, DE, ES & NL

Analyzing Social Media Networks with NodeXL Book Review:

Analyzing Social Media Networks with NodeXL: Insights from a Connected World, Second Edition, provides readers with a thorough, practical and updated guide to NodeXL, the open-source social network analysis (SNA) plug-in for use with Excel. The book analyzes social media, provides a NodeXL tutorial, and presents network analysis case studies, all of which are revised to reflect the latest developments. Sections cover history and concepts, mapping and modeling, the detailed operation of NodeXL, and case studies, including e-mail, Twitter, Facebook, Flickr and YouTube. In addition, there are descriptions of each system and types of analysis for identifying people, documents, groups and events. This book is perfect for use as a course text in social network analysis or as a guide for practicing NodeXL users. Walks users through NodeXL while also explaining the theory and development behind each step Demonstrates how visual analytics research can be applied to SNA tools for the mass market Includes updated case studies from researchers who use NodeXL on popular networks like email, Facebook, Twitter, and Instagram Includes downloadable companion materials and online resources at https://www.smrfoundation.org/nodexl/teaching-with-nodexl/teaching-resources/

Analyzing Social Media Networks with NodeXL

Analyzing Social Media Networks with NodeXL
Author: Derek Hansen,Ben Shneiderman,Marc A. Smith
Publsiher: Morgan Kaufmann
Total Pages: 304
Release: 2010-09-14
ISBN 10: 9780123822307
ISBN 13: 0123822300
Language: EN, FR, DE, ES & NL

Analyzing Social Media Networks with NodeXL Book Review:

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

Analyzing Social Media Data and Web Networks

Analyzing Social Media Data and Web Networks
Author: M. Cantijoch,R. Gibson,S. Ward
Publsiher: Springer
Total Pages: 303
Release: 2014-11-25
ISBN 10: 1137276770
ISBN 13: 9781137276773
Language: EN, FR, DE, ES & NL

Analyzing Social Media Data and Web Networks Book Review:

As governments, citizens and organizations have moved online there is an increasing need for academic enquiry to adapt to this new context for communication and political action. This adaptation is crucially dependent on researchers being equipped with the necessary methodological tools to extract, analyze and visualize patterns of web activity. This volume profiles the latest techniques being employed by social scientists to collect and interpret data from some of the most popular social media applications, the political parties' own online activist spaces, and the wider system of hyperlinks that structure the inter-connections between these sites. Including contributions from a range of academic disciplines including Political Science, Media and Communication Studies, Economics, and Computer Science, this study showcases a new methodological approach that has been expressly designed to capture and analyze web data in the process of investigating substantive questions.

Exam Prep for Analyzing the Social Web

Exam Prep for  Analyzing the Social Web
Author: Anonim
Publsiher: Unknown
Total Pages: 329
Release: 2021
ISBN 10:
ISBN 13:
Language: EN, FR, DE, ES & NL

Exam Prep for Analyzing the Social Web Book Review:

Methods for Analyzing Social Media

Methods for Analyzing Social Media
Author: Klaus Bredl
Publsiher: Routledge
Total Pages: 329
Release: 2017-07-05
ISBN 10: 1351558404
ISBN 13: 9781351558402
Language: EN, FR, DE, ES & NL

Methods for Analyzing Social Media Book Review:

Social media is becoming increasingly attractive for users. It is a fast way to communicate ideas and a key source of information. It is therefore one of the most influential mediums of communication of our time and an important area for audience research. The growth of social media invites many new questions such as: How can we analyze social media? Can we use traditional audience research methods and apply them to online content? Which new research strategies have been developed? Which ethical research issues and controversies do we have to pay attention to? This book focuses on research strategies and methods for analyzing social media and will be of interest to researchers and practitioners using social media, as well as those wanting to keep up to date with the subject. This book was originally published as a special issue of the Journal of Technology in Human Services.

Social Network Analysis for Startups

Social Network Analysis for Startups
Author: Maksim Tsvetovat,Alexander Kouznetsov
Publsiher: "O'Reilly Media, Inc."
Total Pages: 190
Release: 2011-10-06
ISBN 10: 1449306462
ISBN 13: 9781449306465
Language: EN, FR, DE, ES & NL

Social Network Analysis for Startups Book Review:

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.

Mining the Social Web

Mining the Social Web
Author: Matthew A. Russell,Matthew Russell
Publsiher: "O'Reilly Media, Inc."
Total Pages: 332
Release: 2011-01-21
ISBN 10: 1449388345
ISBN 13: 9781449388348
Language: EN, FR, DE, ES & NL

Mining the Social Web Book Review:

Provides information on data analysis from a vareity of social networking sites, including Facebook, Twitter, and LinkedIn.

Analyzing Social Networks

Analyzing Social Networks
Author: Stephen P Borgatti,Martin G Everett,Jeffrey C Johnson
Publsiher: SAGE
Total Pages: 384
Release: 2018-01-08
ISBN 10: 1526418460
ISBN 13: 9781526418463
Language: EN, FR, DE, ES & NL

Analyzing Social Networks Book Review:

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 Second 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 text is the perfect student-friendly introduction to social network analysis.

The SAGE Handbook of Social Network Analysis

The SAGE Handbook of Social Network Analysis
Author: John Scott,Peter J. Carrington
Publsiher: SAGE
Total Pages: 640
Release: 2011-05-18
ISBN 10: 1446250113
ISBN 13: 9781446250112
Language: EN, FR, DE, ES & NL

The SAGE Handbook of Social Network Analysis Book Review:

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 Analytics

Social Network Analytics
Author: Nilanjan Dey,Samarjeet Borah,Rosalina Babo,Amira S. Ashour
Publsiher: Academic Press
Total Pages: 267
Release: 2018-11-16
ISBN 10: 0128156414
ISBN 13: 9780128156414
Language: EN, FR, DE, ES & NL

Social Network Analytics Book Review:

Social Network Analytics: Computational Research Methods and Techniques focuses on various technical concepts and aspects of social network analysis. The book features the latest developments and findings in this emerging area of research. In addition, it includes a variety of applications from several domains, such as scientific research, and the business and industrial sectors. The technical aspects of analysis are covered in detail, including visualizing and modeling, network theory, mathematical models, the big data analytics of social networks, multidimensional scaling, and more. As analyzing social network data is rapidly gaining interest in the scientific research community because of the importance of the information and insights that can be culled from the wealth of data inherent in the various aspects of the network, this book provides insights on measuring the relationships and flows between people, groups, organizations, computers, URLs, and more. Examines a variety of data analytic techniques that can be applied to social networks Discusses various methods of visualizing, modeling and tracking network patterns, organization, growth and change Covers the most recent research on social network analysis and includes applications to a number of domains

Mining the Social Web

Mining the Social Web
Author: Matthew A. Russell,Mikhail Klassen
Publsiher: O'Reilly Media
Total Pages: 432
Release: 2018-12-04
ISBN 10: 1491973528
ISBN 13: 9781491973523
Language: EN, FR, DE, ES & NL

Mining the Social Web Book Review:

Mine the rich data tucked away in popular social websites such as Twitter, Facebook, LinkedIn, and Instagram. With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social media—including who’s connecting with whom, what they’re talking about, and where they’re located—using Python code examples, Jupyter notebooks, or Docker containers. In part one, each standalone chapter focuses on one aspect of the social landscape, including each of the major social sites, as well as web pages, blogs and feeds, mailboxes, GitHub, and a newly added chapter covering Instagram. Part two provides a cookbook with two dozen bite-size recipes for solving particular issues with Twitter. Get a straightforward synopsis of the social web landscape Use Docker to easily run each chapter’s example code, packaged as a Jupyter notebook Adapt and contribute to the code’s open source GitHub repository Learn how to employ best-in-class Python 3 tools to slice and dice the data you collect Apply advanced mining techniques such as TFIDF, cosine similarity, collocation analysis, clique detection, and image recognition Build beautiful data visualizations with Python and JavaScript toolkits

Models and Methods in Social Network Analysis

Models and Methods in Social Network Analysis
Author: Peter J. Carrington,John Scott,Stanley Wasserman
Publsiher: Cambridge University Press
Total Pages: 329
Release: 2005-02-07
ISBN 10: 9781139443432
ISBN 13: 1139443437
Language: EN, FR, DE, ES & NL

Models and Methods in Social Network Analysis Book Review:

Models and Methods in Social Network Analysis, first published in 2005, presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of articles by leading methodologists reviewing advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, the analysis of diffusion through networks, the analysis of affiliation or 'two-mode' networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for the analysis of social networks.

Handbook of Social Network Technologies and Applications

Handbook of Social Network Technologies and Applications
Author: Borko Furht
Publsiher: Springer Science & Business Media
Total Pages: 716
Release: 2010-11-04
ISBN 10: 9781441971425
ISBN 13: 1441971424
Language: EN, FR, DE, ES & NL

Handbook of Social Network Technologies and Applications Book Review:

Social networking is a concept that has existed for a long time; however, with the explosion of the Internet, social networking has become a tool for people to connect and communicate in ways that were impossible in the past. The recent development of Web 2.0 has provided many new applications, such as Myspace, Facebook, and LinkedIn. The purpose of Handbook of Social Network Technologies and Applications is to provide comprehensive guidelines on the current and future trends in social network technologies and applications in the field of Web-based Social Networks. This handbook includes contributions from world experts in the field of social networks from both academia and private industry. A number of crucial topics are covered including Web and software technologies and communication technologies for social networks. Web-mining techniques, visualization techniques, intelligent social networks, Semantic Web, and many other topics are covered. Standards for social networks, case studies, and a variety of applications are covered as well.

Sentiment Analysis in Social Networks

Sentiment Analysis in Social Networks
Author: Federico Alberto Pozzi,Elisabetta Fersini,Enza Messina,Bing Liu
Publsiher: Morgan Kaufmann
Total Pages: 284
Release: 2016-10-06
ISBN 10: 0128044381
ISBN 13: 9780128044384
Language: EN, FR, DE, ES & NL

Sentiment Analysis in Social Networks Book Review:

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

Social Network Analysis and Education

Social Network Analysis and Education
Author: Brian V. Carolan
Publsiher: SAGE Publications
Total Pages: 344
Release: 2013-03-14
ISBN 10: 1483303519
ISBN 13: 9781483303512
Language: EN, FR, DE, ES & NL

Social Network Analysis and Education Book Review:

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.

Introduction to Social Media Investigation

Introduction to Social Media Investigation
Author: Jennifer Golbeck
Publsiher: Syngress
Total Pages: 306
Release: 2015-03-14
ISBN 10: 012801802X
ISBN 13: 9780128018026
Language: EN, FR, DE, ES & NL

Introduction to Social Media Investigation Book Review:

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

Mining Social Media

Mining Social Media
Author: Lam Thuy Vo
Publsiher: No Starch Press
Total Pages: 208
Release: 2019-11-21
ISBN 10: 1593279167
ISBN 13: 9781593279165
Language: EN, FR, DE, ES & NL

Mining Social Media Book Review:

With Scraping Social Media you'll learn how to find out what kind of data is available on popular social media juggernauts like Facebook and Twitter and how to recognise the value of what is measured. Practical exercises interweave with conceptual lessons that cover ways to use Python to extract data from social media sources, analyze it, and make sense of it visually. You'll learn how to write a script that taps into an API, how to scrape data from websites, and even how to make sense of emoji usage in your data.