Analyzing Social Media Networks With Nodexl

Author : Derek Hansen,Ben Shneiderman,Marc A. Smith
Publisher : Morgan Kaufmann
Page : 301 pages
File Size : 48,8 Mb
Release : 2010-09-14
Category : Computers
ISBN : 9780123822307

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Analyzing Social Media Networks with NodeXL by Derek Hansen,Ben Shneiderman,Marc A. Smith Pdf

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

Author : Derek L. Hansen
Publisher : Unknown
Page : 0 pages
File Size : 53,5 Mb
Release : 2011
Category : Electronic
ISBN : OCLC:851325217

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Analyzing Social Media Networks with NodeXL by Derek L. Hansen Pdf

Author : Jennifer Golbeck
Publisher : Newnes
Page : 291 pages
File Size : 41,8 Mb
Release : 2013-02-17
Category : Computers
ISBN : 9780124058569

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Analyzing the Social Web by Jennifer Golbeck Pdf

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

Author : Sorin Adam Matei,Martha G. Russell,Elisa Bertino
Publisher : Springer
Page : 318 pages
File Size : 51,9 Mb
Release : 2015-07-22
Category : Computers
ISBN : 9783319185521

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Transparency in Social Media by Sorin Adam Matei,Martha G. Russell,Elisa Bertino Pdf

The volume presents, in a synergistic manner, significant theoretical and practical contributions in the area of social media reputation and authorship measurement, visualization, and modeling. The book justifies and proposes contributions to a future agenda for understanding the requirements for making social media authorship more transparent. Building on work presented in a previous volume of this series, Roles, Trust, and Reputation in Social Media Knowledge Markets, this book discusses new tools, applications, services, and algorithms that are needed for authoring content in a real-time publishing world. These insights may help people who interact and create content through social media better assess their potential for knowledge creation. They may also assist in analyzing audience attitudes, perceptions, and behavior in informal social media or in formal organizational structures. In addition, the volume includes several chapters that analyze the higher order ethical, critical thinking, and philosophical principles that may be used to ground social media authorship. Together, the perspectives presented in this volume help us understand how social media content is created and how its impact can be evaluated. The chapters demonstrate thought leadership through new ways of constructing social media experiences and making traces of social interaction visible. Transparency in Social Media aims to help researchers and practitioners design services, tools, or methods of analysis that encourage a more transparent process of interaction and communication on social media. Knowing who has added what content and with what authority to a specific online social media project can help the user community better understand, evaluate and make decisions and, ultimately, act on the basis of such information.

Author : Charles Kadushin
Publisher : Oxford University Press
Page : 265 pages
File Size : 50,9 Mb
Release : 2012-01-19
Category : Business & Economics
ISBN : 9780195379464

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Understanding Social Networks by Charles Kadushin Pdf

Understanding Social Networks explains the big ideas that underlie social networks, covering fundamental concepts then discussing networks and their core themes in increasing order of complexity.

Author : Rao, N. Raghavendra
Publisher : IGI Global
Page : 470 pages
File Size : 40,8 Mb
Release : 2016-09-21
Category : Computers
ISBN : 9781522508472

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Social Media Listening and Monitoring for Business Applications by Rao, N. Raghavendra Pdf

Social Media has transformed the ways in which individuals keep in touch with family and friends. Likewise, businesses have identified the profound opportunities present for customer engagement and understanding through the massive data available on social media channels, in addition to the customer reach of such sites. Social Media Listening and Monitoring for Business Applications explores research-based solutions for businesses of all types interested in an understanding of emerging concepts and technologies for engaging customers online. Providing insight into the currently available social media tools and practices for various business applications, this publication is an essential resource for business professionals, graduate-level students, technology developers, and researchers.

Author : Gohar F. Khan
Publisher : Createspace Independent Publishing Platform
Page : 189 pages
File Size : 40,6 Mb
Release : 2015
Category : Business analysts
ISBN : 1507823207

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Seven Layers of Social Media Analytics by Gohar F. Khan Pdf

The book offers concepts, tools, tutorials, and case studies that business managers need to extract and analyze the seven layers of social media data, including text, actions, networks, apps, hyperlinks, search engines, and location layers. Social media analytics is about converting unstructured social media data into meaningful business insights. By the end of this book, you will have mastered the concepts, techniques, and tools used to extract business insights from social media that help increase brand loyalty, generate leads, drive traffic, and ultimately make good business decisions. The book is non-technical in nature best suited for business managers, owners, consultants, students, and professors, etc. Here is how the book is structured: Chapter 1: The Seven Layers of Social Media Analytics Chapter 2: Understanding Social Media Chapter 3: Social Media Text Analytics Chapter 4: Social Media Network Analytics Chapter 5: Social Media Actions Analytics Chapter 6: Social Media Apps Analytics Chapter 7: Social Media Hyperlinks Analytics Chapter 8: Social Media Location Analytics Chapter 9: Social Media Search Engine Analytics Chapter 10: Aligning Social Media Analytics with Business Goals The book also comes with a companion site (http: //7layersanalytics.com/) which offers Updated Tutorials, Power-Point Slide, Case Studies, Sample Data, and Syllabus.

Author : Hai-Jew, Shalin
Publisher : IGI Global
Page : 493 pages
File Size : 48,7 Mb
Release : 2016-08-01
Category : Computers
ISBN : 9781522506492

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Social Media Data Extraction and Content Analysis by Hai-Jew, Shalin Pdf

In today’s society, the utilization of social media platforms has become an abundant forum for individuals to post, share, tag, and, in some cases, overshare information about their daily lives. As significant amounts of data flood these venues, it has become necessary to find ways to collect and evaluate this information. Social Media Data Extraction and Content Analysis explores various social networking platforms and the technologies being utilized to gather and analyze information being posted to these venues. Highlighting emergent research, analytical techniques, and best practices in data extraction in global electronic culture, this publication is an essential reference source for researchers, academics, and professionals.

Author : Maksim Tsvetovat,Alexander Kouznetsov
Publisher : "O'Reilly Media, Inc."
Page : 191 pages
File Size : 53,5 Mb
Release : 2011-10-06
Category : Business & Economics
ISBN : 9781449306465

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Social Network Analysis for Startups by Maksim Tsvetovat,Alexander Kouznetsov Pdf

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

Author : Reda Alhajj,Jon Rokne
Publisher : Springer
Page : 0 pages
File Size : 44,6 Mb
Release : 2018-05-02
Category : Computers
ISBN : 1493971301

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Encyclopedia of Social Network Analysis and Mining by Reda Alhajj,Jon Rokne Pdf

The Encyclopedia of Social Network Analysis and Mining (ESNAM) is the first major reference work to integrate fundamental concepts and research directions in the areas of social networks and applications to data mining. The second edition of ESNAM is a truly outstanding reference appealing to researchers, practitioners, instructors and students (both undergraduate and graduate), as well as the general public. This updated reference integrates all basics concepts and research efforts under one umbrella. Coverage has been expanded to include new emerging topics such as crowdsourcing, opinion mining, and sentiment analysis. Revised content of existing material keeps the encyclopedia current. The second edition is intended for college students as well as public and academic libraries. It is anticipated to continue to stimulate more awareness of social network applications and research efforts. The advent of electronic communication, and in particular on-line communities, have created social networks of hitherto unimaginable sizes. Reflecting the interdisciplinary nature of this unique field, the essential contributions of diverse disciplines, from computer science, mathematics, and statistics to sociology and behavioral science, are described among the 300 authoritative yet highly readable entries. Students will find a world of information and insight behind the familiar façade of the social networks in which they participate. Researchers and practitioners will benefit from a comprehensive perspective on the methodologies for analysis of constructed networks, and the data mining and machine learning techniques that have proved attractive for sophisticated knowledge discovery in complex applications. Also addressed is the application of social network methodologies to other domains, such as web networks and biological networks.

Author : Jure Leskovec,Anand Rajaraman,Jeffrey David Ullman
Publisher : Cambridge University Press
Page : 480 pages
File Size : 52,7 Mb
Release : 2014-11-13
Category : Computers
ISBN : 9781107077232

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Mining of Massive Datasets by Jure Leskovec,Anand Rajaraman,Jeffrey David Ullman Pdf

Now in its second edition, this book focuses on practical algorithms for mining data from even the largest datasets.

Author : M. Cantijoch,R. Gibson,S. Ward
Publisher : Springer
Page : 303 pages
File Size : 51,8 Mb
Release : 2014-11-25
Category : Social Science
ISBN : 9781137276773

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Analyzing Social Media Data and Web Networks by M. Cantijoch,R. Gibson,S. Ward Pdf

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.

Author : John Salerno,Shanchieh Jay Yang,Dana Nau,Sun-Ki Chai
Publisher : Springer
Page : 384 pages
File Size : 53,9 Mb
Release : 2011-02-21
Category : Computers
ISBN : 9783642196560

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Social Computing, Behavioral-Cultural Modeling and Prediction by John Salerno,Shanchieh Jay Yang,Dana Nau,Sun-Ki Chai Pdf

This book constitutes the refereed proceedings of the 4th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction, held in College Park, MD, USA, March 29-31, 2011. The 48 papers and 3 keynotes presented in this volume were carefully reviewed and selected from 88 submissions. The papers cover a wide range of topics including social network analysis; modeling; machine learning and data mining; social behaviors; public health; cultural aspects; and effects and search.

Author : Ben Shneiderman
Publisher : Oxford University Press
Page : 390 pages
File Size : 55,6 Mb
Release : 2022
Category : Computers
ISBN : 9780192845290

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Human-Centered AI by Ben Shneiderman Pdf

The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities. However, a bright future awaits those who build on their working methods by including HCAI strategies of design and testing. As many technology companies and thought leaders have argued, the goal is not to replace people, but to empower them by making design choices that give humans control over technology. In Human-Centered AI, Professor Ben Shneiderman offers an optimistic realist's guide to how artificial intelligence can be used to augment and enhance humans' lives. This project bridges the gap between ethical considerations and practical realities to offer a road map for successful, reliable systems. Digital cameras, communications services, and navigation apps are just the beginning. Shneiderman shows how future applications will support health and wellness, improve education, accelerate business, and connect people in reliable, safe, and trustworthy ways that respect human values, rights, justice, and dignity.

Author : Richard Brath,David Jonker
Publisher : John Wiley & Sons
Page : 544 pages
File Size : 40,7 Mb
Release : 2015-01-30
Category : Computers
ISBN : 9781118845875

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Graph Analysis and Visualization by Richard Brath,David Jonker Pdf

Wring more out of the data with a scientific approach toanalysis Graph Analysis and Visualization brings graph theory outof the lab and into the real world. Using sophisticated methods andtools that span analysis functions, this guide shows you how toexploit graph and network analytic techniques to enable thediscovery of new business insights and opportunities. Published infull color, the book describes the process of creating powerfulvisualizations using a rich and engaging set of examples fromsports, finance, marketing, security, social media, and more. Youwill find practical guidance toward pattern identification andusing various data sources, including Big Data, plus clearinstruction on the use of software and programming. The companionwebsite offers data sets, full code examples in Python, and linksto all the tools covered in the book. Science has already reaped the benefit of network and graphtheory, which has powered breakthroughs in physics, economics,genetics, and more. This book brings those proven techniques intothe world of business, finance, strategy, and design, helpingextract more information from data and better communicate theresults to decision-makers. Study graphical examples of networks using clear and insightfulvisualizations Analyze specifically-curated, easy-to-use data sets fromvarious industries Learn the software tools and programming languages that extractinsights from data Code examples using the popular Python programminglanguage There is a tremendous body of scientific work on network andgraph theory, but very little of it directly applies to analystfunctions outside of the core sciences – until now. Writtenfor those seeking empirically based, systematic analysis methodsand powerful tools that apply outside the lab, Graph Analysisand Visualization is a thorough, authoritative resource.