Analyzing the Social Web Book

Analyzing the Social Web


  • Author : Jennifer Golbeck
  • Publisher : Newnes
  • Release Date : 2013-02-17
  • Genre: Computers
  • Pages : 290
  • ISBN 10 : 9780124058569

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Analyzing the Social Web Excerpt :

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 Book

Analyzing Social Media Networks with NodeXL


  • Author : Derek Hansen
  • Publisher : Morgan Kaufmann
  • Release Date : 2010-09-14
  • Genre: Computers
  • Pages : 304
  • ISBN 10 : 0123822300

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Analyzing Social Media Networks with NodeXL 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

Analyzing Social Networks Book

Analyzing Social Networks


  • Author : Stephen P Borgatti
  • Publisher : SAGE
  • Release Date : 2018-01-08
  • Genre: Social Science
  • Pages : 384
  • ISBN 10 : 9781526418463

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Analyzing Social Networks Excerpt :

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.

Mining the Social Web Book

Mining the Social Web


  • Author : Matthew A. Russell
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2011-01-21
  • Genre: Computers
  • Pages : 332
  • ISBN 10 : 9781449388348

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Mining the Social Web Excerpt :

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

Methods for Analyzing Social Media Book

Methods for Analyzing Social Media


  • Author : Klaus Bredl
  • Publisher : Routledge
  • Release Date : 2017-07-05
  • Genre: Social Science
  • Pages : null
  • ISBN 10 : 9781351558402

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Methods for Analyzing Social Media Excerpt :

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.

Analyzing Narratives in Social Networks Book

Analyzing Narratives in Social Networks


  • Author : Zvi Lotker
  • Publisher : Springer Nature
  • Release Date : 2021-08-28
  • Genre: Science
  • Pages : 413
  • ISBN 10 : 9783030682996

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Analyzing Narratives in Social Networks Excerpt :

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.

Social Network Analysis for Startups Book
Score: 4
From 1 Ratings

Social Network Analysis for Startups


  • Author : Maksim Tsvetovat
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2011-10-06
  • Genre: Computers
  • Pages : 190
  • ISBN 10 : 9781449306465

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Social Network Analysis for Startups Excerpt :

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 and Securing Social Networks Book

Analyzing and Securing Social Networks


  • Author : Bhavani Thuraisingham
  • Publisher : CRC Press
  • Release Date : 2016-04-06
  • Genre: Computers
  • Pages : 574
  • ISBN 10 : 9781482243284

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Analyzing and Securing Social Networks Excerpt :

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 Global Social Media Consumption Book

Analyzing Global Social Media Consumption


  • Author : Wamuyu, Patrick Kanyi
  • Publisher : IGI Global
  • Release Date : 2020-10-16
  • Genre: Computers
  • Pages : 358
  • ISBN 10 : 9781799847199

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Analyzing Global Social Media Consumption Excerpt :

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.

Sociometrics and Human Relationships Book

Sociometrics and Human Relationships


  • Author : Peter A. Gloor
  • Publisher : Emerald Group Publishing
  • Release Date : 2017-05-04
  • Genre: Business & Economics
  • Pages : 512
  • ISBN 10 : 9781787141124

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Sociometrics and Human Relationships Excerpt :

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.

Mining Social Media Book

Mining Social Media


  • Author : Lam Thuy Vo
  • Publisher : No Starch Press
  • Release Date : 2019-11-25
  • Genre: Computers
  • Pages : 208
  • ISBN 10 : 9781593279165

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Mining Social Media Excerpt :

BuzzFeed News Senior Reporter Lam Thuy Vo explains how to mine, process, and analyze data from the social web in meaningful ways with the Python programming language. Did fake Twitter accounts help sway a presidential election? What can Facebook and Reddit archives tell us about human behavior? In Mining Social Media, senior BuzzFeed reporter Lam Thuy Vo shows you how to use Python and key data analysis tools to find the stories buried in social media. Whether you're a professional journalist, an academic researcher, or a citizen investigator, you'll learn how to use technical tools to collect and analyze data from social media sources to build compelling, data-driven stories. Learn how to: • Write Python scripts and use APIs to gather data from the social web • Download data archives and dig through them for insights • Inspect HTML downloaded from websites for useful content • Format, aggregate, sort, and filter your collected data using Google Sheets • Create data visualizations to illustrate your discoveries • Perform advanced data analysis using Python, Jupyter Notebooks, and the pandas library • Apply what you've learned to research topics on your own Social media is filled with thousands of hidden stories just waiting to be told. Learn to use the data-sleuthing tools that professionals use to write your own data-driven stories.

Introduction to Social Media Investigation Book
Score: 5
From 1 Ratings

Introduction to Social Media Investigation


  • Author : Jennifer Golbeck
  • Publisher : Syngress
  • Release Date : 2015-03-14
  • Genre: Computers
  • Pages : 306
  • ISBN 10 : 9780128018026

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Introduction to Social Media Investigation Excerpt :

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

Analyzing Social Networks Using R Book

Analyzing Social Networks Using R


  • Author : Stephen P. Borgatti
  • Publisher : SAGE
  • Release Date : 2022-04-30
  • Genre: Social Science
  • Pages : 384
  • ISBN 10 : 9781529764925

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Analyzing Social Networks Using R 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

Sentiment Analysis in Social Networks Book

Sentiment Analysis in Social Networks


  • Author : Federico Alberto Pozzi
  • Publisher : Morgan Kaufmann
  • Release Date : 2016-10-06
  • Genre: Computers
  • Pages : 284
  • ISBN 10 : 9780128044384

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Sentiment Analysis in Social Networks 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

Mining the Social Web Book

Mining the Social Web


  • Author : Matthew A. Russell
  • Publisher : O'Reilly Media
  • Release Date : 2018-12-04
  • Genre: Computers
  • Pages : 432
  • ISBN 10 : 9781491973523

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Mining the Social Web Excerpt :

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