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 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 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.

Methods for Analyzing Social Media

Methods for Analyzing Social Media
Author: Klaus Bredl
Publsiher: Routledge
Total Pages: 135
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.

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 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.

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.

Analyzing Global Social Media Consumption

Analyzing Global Social Media Consumption
Author: Wamuyu, Patrick Kanyi
Publsiher: IGI Global
Total Pages: 358
Release: 2020-10-16
ISBN 10: 1799847195
ISBN 13: 9781799847199
Language: EN, FR, DE, ES & NL

Analyzing Global Social Media Consumption Book Review:

Social media has revolutionized how individuals, communities, and organizations create, share, and consume information. Similarly, social media offers numerous opportunities as well as enormous social and economic ills for individuals, communities, and organizations. Despite the increase in popularity of social networking sites and related digital media, there are limited data and studies on consumption patterns of the new media by different global communities. Analyzing Global Social Media Consumption is an essential reference book that investigates the current trends, practices, and newly emerging narratives on theoretical and empirical research on all aspects of social media and its global use. Covering topics that include fake news detection, social media addiction, and motivations and impacts of social media use, this book is ideal for big data analysts, media and communications experts, researchers, academicians, and students in media and communications, information systems, and information technology study programs.

Analyzing and Securing Social Networks

Analyzing and Securing Social Networks
Author: Bhavani Thuraisingham,Satyen Abrol,Raymond Heatherly,Murat Kantarcioglu,Vaibhav Khadilkar,Latifur Khan
Publsiher: CRC Press
Total Pages: 574
Release: 2016-04-06
ISBN 10: 1482243288
ISBN 13: 9781482243284
Language: EN, FR, DE, ES & NL

Analyzing and Securing Social Networks Book Review:

Analyzing and Securing Social Networks focuses on the two major technologies that have been developed for online social networks (OSNs): (i) data mining technologies for analyzing these networks and extracting useful information such as location, demographics, and sentiments of the participants of the network, and (ii) security and privacy technologies that ensure the privacy of the participants of the network as well as provide controlled access to the information posted and exchanged by the participants. The authors explore security and privacy issues for social media systems, analyze such systems, and discuss prototypes they have developed for social media systems whose data are represented using semantic web technologies. These experimental systems have been developed at The University of Texas at Dallas. The material in this book, together with the numerous references listed in each chapter, have been used for a graduate-level course at The University of Texas at Dallas on analyzing and securing social media. Several experimental systems developed by graduate students are also provided. The book is divided into nine main sections: (1) supporting technologies, (2) basics of analyzing and securing social networks, (3) the authors’ design and implementation of various social network analytics tools, (4) privacy aspects of social networks, (5) access control and inference control for social networks, (6) experimental systems designed or developed by the authors on analyzing and securing social networks, (7) social media application systems developed by the authors, (8) secure social media systems developed by the authors, and (9) some of the authors’ exploratory work and further directions.

Analyzing Narratives in Social Networks

Analyzing Narratives in Social Networks
Author: Zvi Lotker
Publsiher: Springer Nature
Total Pages: 413
Release: 2021-08-28
ISBN 10: 3030682994
ISBN 13: 9783030682996
Language: EN, FR, DE, ES & NL

Analyzing Narratives in Social Networks Book Review:

This book uses literature as a wrench to pry open social networks and to ask different questions than have been asked about social networks previously. The book emphasizes the story-telling aspect of social networks, as well as the connection between narrative and social networks by incorporating narrative, dynamic networks, and time. Thus, it constructs a bridge between literature, digital humanities, and social networks. This book is a pioneering work that attempts to express social and philosophic constructs in mathematical terms. The material used to test the algorithms is texts intended for performance, such as plays, film scripts, and radio plays; mathematical representations of the texts, or “literature networks”, are then used to analyze the social networks found in the respective texts. By using literature networks and their accompanying narratives, along with their supporting analyses, this book allows for a novel approach to social network analysis.

Sociometrics and Human Relationships

Sociometrics and Human Relationships
Author: Peter A. Gloor
Publsiher: Emerald Group Publishing
Total Pages: 512
Release: 2017-05-04
ISBN 10: 1787141128
ISBN 13: 9781787141124
Language: EN, FR, DE, ES & NL

Sociometrics and Human Relationships Book Review:

Sociometrics and Human Relationships translates the latest academic research into practical business strategies and techniques for social network analysis. This essential new title is key reading for students and practitioners across marketing, design, sociology, psychology and the humanities, and comes with a free academic license of Condor.

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

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 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

The SAGE Handbook of Online Research Methods

The SAGE Handbook of Online Research Methods
Author: Nigel G Fielding,Raymond M Lee,Grant Blank
Publsiher: SAGE
Total Pages: 684
Release: 2016-09-30
ISBN 10: 1473959306
ISBN 13: 9781473959309
Language: EN, FR, DE, ES & NL

The SAGE Handbook of Online Research Methods Book Review:

Online research methods are popular, dynamic and fast-changing. Following on from the great success of the first edition, published in 2008, The SAGE Handbook of Online Research Methods, Second Edition offers both updates of existing subject areas and new chapters covering more recent developments, such as social media, big data, data visualization and CAQDAS. Bringing together the leading names in both qualitative and quantitative online research, this new edition is organised into nine sections: 1. Online Research Methods 2. Designing Online Research 3. Online Data Capture and Data Collection 4. The Online Survey 5. Digital Quantitative Analysis 6. Digital Text Analysis 7. Virtual Ethnography 8. Online Secondary Analysis: Resources and Methods 9. The Future of Online Social Research The SAGE Handbook of Online Research Methods, Second Edition is an essential resource for anyone interested in the contemporary practice of computer-mediated research and scholarship.

Web Mining and Social Networking

Web Mining and Social Networking
Author: Guandong Xu,Yanchun Zhang,Lin Li
Publsiher: Springer Science & Business Media
Total Pages: 210
Release: 2010-10-20
ISBN 10: 144197735X
ISBN 13: 9781441977359
Language: EN, FR, DE, ES & NL

Web Mining and Social Networking Book Review:

This book examines the techniques and applications involved in the Web Mining, Web Personalization and Recommendation and Web Community Analysis domains, including a detailed presentation of the principles, developed algorithms, and systems of the research in these areas. The applications of web mining, and the issue of how to incorporate web mining into web personalization and recommendation systems are also reviewed. Additionally, the volume explores web community mining and analysis to find the structural, organizational and temporal developments of web communities and reveal the societal sense of individuals or communities. The volume will benefit both academic and industry communities interested in the techniques and applications of web search, web data management, web mining and web knowledge discovery, as well as web community and social network analysis.

Social Media Mining and Social Network Analysis Emerging Research

Social Media Mining and Social Network Analysis  Emerging Research
Author: Xu, Guandong
Publsiher: IGI Global
Total Pages: 347
Release: 2013-01-31
ISBN 10: 1466628073
ISBN 13: 9781466628076
Language: EN, FR, DE, ES & NL

Social Media Mining and Social Network Analysis Emerging Research Book Review:

Social Media Mining and Social Network Analysis: Emerging Research highlights the advancements made in social network analysis and social web mining and its influence in the fields of computer science, information systems, sociology, organization science discipline and much more. This collection of perspectives on developmental practice is useful for industrial practitioners as well as researchers and scholars.

Social Networks and the Semantic Web

Social Networks and the Semantic Web
Author: Peter Mika
Publsiher: Springer Science & Business Media
Total Pages: 234
Release: 2007-10-23
ISBN 10: 0387710019
ISBN 13: 9780387710013
Language: EN, FR, DE, ES & NL

Social Networks and the Semantic Web Book Review:

Social Networks and the Semantic Web offers valuable information to practitioners developing social-semantic software for the Web. It provides two major case studies. The first case study shows the possibilities of tracking a research community over the Web. It reveals how social network mining from the web plays an important role for obtaining large scale, dynamic network data beyond the possibilities of survey methods. The second case study highlights the role of the social context in user-generated classifications in content, such as the tagging systems known as folksonomies.

Social Network Analysis

Social Network Analysis
Author: Stanley Wasserman,Katherine Faust,Stanley (University of Illinois Wasserman, Urbana-Champaign)
Publsiher: Cambridge University Press
Total Pages: 825
Release: 1994-11-25
ISBN 10: 9780521387071
ISBN 13: 0521387078
Language: EN, FR, DE, ES & NL

Social Network Analysis Book Review:

Covers methods for the analysis of social networks and applies them to examples.

Natural Language Processing for Social Media

Natural Language Processing for Social Media
Author: Atefeh Farzindar,Diana Inkpen
Publsiher: Morgan & Claypool Publishers
Total Pages: 195
Release: 2017-12-15
ISBN 10: 1681736136
ISBN 13: 9781681736136
Language: EN, FR, DE, ES & NL

Natural Language Processing for Social Media Book Review:

In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms which extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. We discuss the challenges in analyzing social media texts in contrast with traditional documents. Research methods in information extraction, automatic categorization and clustering, automatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the current research on NLP tools and methods for processing the non-traditional information from social media data that is available in large amounts (big data), and shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, healthcare, business intelligence, industry, marketing, and security and defence. We review the existing evaluation metrics for NLP and social media applications, and the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association for Computational Linguistics (such as SemEval tasks) or by the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC). In the concluding chapter, we discuss the importance of this dynamic discipline and its great potential for NLP in the coming decade, in the context of changes in mobile technology, cloud computing, virtual reality, and social networking. In this second edition, we have added information about recent progress in the tasks and applications presented in the first edition. We discuss new methods and their results. The number of research projects and publications that use social media data is constantly increasing due to continuously growing amounts of social media data and the need to automatically process them. We have added 85 new references to the more than 300 references from the first edition. Besides updating each section, we have added a new application (digital marketing) to the section on media monitoring and we have augmented the section on healthcare applications with an extended discussion of recent research on detecting signs of mental illness from social media.