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Analyzing The Social Web

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Analyzing the Social Web

Analyzing the Social Web Book
Author : Jennifer Golbeck
Publisher : Newnes
Release : 2013-02-17
ISBN : 0124058566
Language : En, Es, Fr & De

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Book Description :

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 Book
Author : Derek Hansen,Ben Shneiderman,Marc A. Smith
Publisher : Morgan Kaufmann
Release : 2010-09-14
ISBN : 9780123822307
Language : En, Es, Fr & De

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Book Description :

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 Book
Author : Stephen P Borgatti,Martin G Everett,Jeffrey C Johnson
Publisher : SAGE
Release : 2018-01-08
ISBN : 1526418460
Language : En, Es, Fr & De

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Book Description :

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

Mining the Social Web Book
Author : Matthew A. Russell,Matthew Russell
Publisher : "O'Reilly Media, Inc."
Release : 2011-01-21
ISBN : 1449388345
Language : En, Es, Fr & De

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Book Description :

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

Methods for Analyzing Social Media

Methods for Analyzing Social Media Book
Author : Klaus Bredl
Publisher : Routledge
Release : 2017-07-05
ISBN : 1351558404
Language : En, Es, Fr & De

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Book Description :

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

Analyzing Narratives in Social Networks Book
Author : Zvi Lotker
Publisher : Springer Nature
Release : 2021-08-28
ISBN : 3030682994
Language : En, Es, Fr & De

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Book Description :

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.

Analyzing and Securing Social Networks

Analyzing and Securing Social Networks Book
Author : Bhavani Thuraisingham,Satyen Abrol,Raymond Heatherly,Murat Kantarcioglu,Vaibhav Khadilkar,Latifur Khan
Publisher : CRC Press
Release : 2016-04-06
ISBN : 1482243288
Language : En, Es, Fr & De

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Book Description :

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.

Social Network Analysis for Startups

Social Network Analysis for Startups Book
Author : Maksim Tsvetovat,Alexander Kouznetsov
Publisher : "O'Reilly Media, Inc."
Release : 2011-10-06
ISBN : 1449306462
Language : En, Es, Fr & De

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Book Description :

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 Book
Author : Wamuyu, Patrick Kanyi
Publisher : IGI Global
Release : 2020-10-16
ISBN : 1799847195
Language : En, Es, Fr & De

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Book Description :

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

Sociometrics and Human Relationships Book
Author : Peter A. Gloor
Publisher : Emerald Group Publishing
Release : 2017-05-04
ISBN : 1787141128
Language : En, Es, Fr & De

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Book Description :

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.

Introduction to Social Media Investigation

Introduction to Social Media Investigation Book
Author : Jennifer Golbeck
Publisher : Syngress
Release : 2015-03-14
ISBN : 012801802X
Language : En, Es, Fr & De

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Book Description :

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

Analyzing Social Networks Using R Book
Author : Stephen P. Borgatti,Martin G. Everett,Jeffrey C. Johnson,Filip Agneessens
Publisher : SAGE
Release : 2022-04-30
ISBN : 1529764920
Language : En, Es, Fr & De

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Book Description :

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

Mining Social Media

Mining Social Media Book
Author : Lam Thuy Vo
Publisher : No Starch Press
Release : 2019-11-25
ISBN : 1593279167
Language : En, Es, Fr & De

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Book Description :

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.

Sentiment Analysis in Social Networks

Sentiment Analysis in Social Networks Book
Author : Federico Alberto Pozzi,Elisabetta Fersini,Enza Messina,Bing Liu
Publisher : Morgan Kaufmann
Release : 2016-10-06
ISBN : 0128044381
Language : En, Es, Fr & De

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Book Description :

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

Mining the Social Web Book
Author : Matthew A. Russell,Mikhail Klassen
Publisher : O'Reilly Media
Release : 2018-12-04
ISBN : 1491973528
Language : En, Es, Fr & De

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Book Description :

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

Social Network Analysis

Social Network Analysis Book
Author : Stanley Wasserman,Katherine Faust,Stanley (University of Illinois Wasserman, Urbana-Champaign)
Publisher : Cambridge University Press
Release : 1994-11-25
ISBN : 9780521387071
Language : En, Es, Fr & De

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Book Description :

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

The SAGE Handbook of Social Network Analysis

The SAGE Handbook of Social Network Analysis Book
Author : John Scott,Peter J. Carrington
Publisher : SAGE Publications
Release : 2011-05-25
ISBN : 1847873952
Language : En, Es, Fr & De

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Book Description :

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.

Python Social Media Analytics

Python Social Media Analytics Book
Author : Siddhartha Chatterjee,Michal Krystyanczuk
Publisher : Packt Publishing Ltd
Release : 2017-07-28
ISBN : 1787126757
Language : En, Es, Fr & De

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Book Description :

Leverage the power of Python to collect, process, and mine deep insights from social media data About This Book Acquire data from various social media platforms such as Facebook, Twitter, YouTube, GitHub, and more Analyze and extract actionable insights from your social data using various Python tools A highly practical guide to conducting efficient social media analytics at scale Who This Book Is For If you are a programmer or a data analyst familiar with the Python programming language and want to perform analyses of your social data to acquire valuable business insights, this book is for you. The book does not assume any prior knowledge of any data analysis tool or process. What You Will Learn Understand the basics of social media mining Use PyMongo to clean, store, and access data in MongoDB Understand user reactions and emotion detection on Facebook Perform Twitter sentiment analysis and entity recognition using Python Analyze video and campaign performance on YouTube Mine popular trends on GitHub and predict the next big technology Extract conversational topics on public internet forums Analyze user interests on Pinterest Perform large-scale social media analytics on the cloud In Detail Social Media platforms such as Facebook, Twitter, Forums, Pinterest, and YouTube have become part of everyday life in a big way. However, these complex and noisy data streams pose a potent challenge to everyone when it comes to harnessing them properly and benefiting from them. This book will introduce you to the concept of social media analytics, and how you can leverage its capabilities to empower your business. Right from acquiring data from various social networking sources such as Twitter, Facebook, YouTube, Pinterest, and social forums, you will see how to clean data and make it ready for analytical operations using various Python APIs. This book explains how to structure the clean data obtained and store in MongoDB using PyMongo. You will also perform web scraping and visualize data using Scrappy and Beautifulsoup. Finally, you will be introduced to different techniques to perform analytics at scale for your social data on the cloud, using Python and Spark. By the end of this book, you will be able to utilize the power of Python to gain valuable insights from social media data and use them to enhance your business processes. Style and approach This book follows a step-by-step approach to teach readers the concepts of social media analytics using the Python programming language. To explain various data analysis processes, real-world datasets are used wherever required.

A Social Strategy

A Social Strategy Book
Author : Mikolaj Jan Piskorski
Publisher : Princeton University Press
Release : 2016-02-23
ISBN : 0691169268
Language : En, Es, Fr & De

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Book Description :

What people get out of social media—and how businesses can get more out of it Almost no one had heard of social media a decade ago, but today websites such as Facebook, Twitter, and LinkedIn have more than 1 billion users and account for almost 25 percent of Internet use. Practically overnight, social media seems indispensable to our lives—from friendship and dating to news and business. What makes social media so different from traditional media? Answering that question is the key to making social media work for any business, argues Miko?aj Piskorski, one of the world's leading experts on the business of social media. In A Social Strategy, he provides the most convincing answer yet, one backed by original research, data, and case studies from companies such as Nike and American Express. Drawing on his analysis of proprietary data from social media sites, Piskorski argues that the secret of successful ones is that they allow people to fulfill social needs that either can’t be met offline or can be met only at much greater cost. This insight provides the key to how companies can leverage social platforms to create a sustainable competitive advantage. Companies need to help people interact with each other before they will promote products to their friends or help companies in other ways. Done right, a company’s social media should benefit customers and the firm. Piskorski calls this "a social strategy," and he describes how companies such as Yelp and Zynga have done it. Groundbreaking and important, A Social Strategy provides not only a story- and data-driven explanation for the explosion of social media but also an invaluable, concrete road map for any company that wants to tap the marketing potential of this remarkable phenomenon.

Mastering Social Media Mining with Python

Mastering Social Media Mining with Python Book
Author : Marco Bonzanini
Publisher : Packt Publishing Ltd
Release : 2016-07-29
ISBN : 1783552026
Language : En, Es, Fr & De

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Book Description :

Acquire and analyze data from all corners of the social web with Python About This Book Make sense of highly unstructured social media data with the help of the insightful use cases provided in this guide Use this easy-to-follow, step-by-step guide to apply analytics to complicated and messy social data This is your one-stop solution to fetching, storing, analyzing, and visualizing social media data Who This Book Is For This book is for intermediate Python developers who want to engage with the use of public APIs to collect data from social media platforms and perform statistical analysis in order to produce useful insights from data. The book assumes a basic understanding of the Python Standard Library and provides practical examples to guide you toward the creation of your data analysis project based on social data. What You Will Learn Interact with a social media platform via their public API with Python Store social data in a convenient format for data analysis Slice and dice social data using Python tools for data science Apply text analytics techniques to understand what people are talking about on social media Apply advanced statistical and analytical techniques to produce useful insights from data Build beautiful visualizations with web technologies to explore data and present data products In Detail Your social media is filled with a wealth of hidden data – unlock it with the power of Python. Transform your understanding of your clients and customers when you use Python to solve the problems of understanding consumer behavior and turning raw data into actionable customer insights. This book will help you acquire and analyze data from leading social media sites. It will show you how to employ scientific Python tools to mine popular social websites such as Facebook, Twitter, Quora, and more. Explore the Python libraries used for social media mining, and get the tips, tricks, and insider insight you need to make the most of them. Discover how to develop data mining tools that use a social media API, and how to create your own data analysis projects using Python for clear insight from your social data. Style and approach This practical, hands-on guide will help you learn everything you need to perform data mining for social media. Throughout the book, we take an example-oriented approach to use Python for data analysis and provide useful tips and tricks that you can use in day-to-day tasks.