Analyzing Social Media Networks with NodeXL

Analyzing Social Media Networks with NodeXL
Author: Derek Hansen
Publisher: Morgan Kaufmann
Total Pages: 301
Release: 2010-09-14
Genre: Computers
ISBN: 0123822300

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Analyzing Social Media Networks with NodeXL offers backgrounds in information studies, computer science, and sociology. This book is divided into three parts: analyzing social media, NodeXL tutorial, and social-media network analysis case studies. Part I provides background in the history and concepts of social media and social networks. Also included here is social network analysis, which flows from measuring, to mapping, and modeling collections of connections. The next part focuses on the detailed operation of the free and open-source NodeXL extension of Microsoft Excel, which is used in all exercises throughout this book. In the final part, each chapter presents one form of social media, such as e-mail, Twitter, Facebook, Flickr, and Youtube. In addition, there are descriptions of each system, the nature of networks when people interact, and types of analysis for identifying people, documents, groups, and events. Walks you through NodeXL, while explaining the theory and development behind each step, providing takeaways that can apply to any SNA Demonstrates how visual analytics research can be applied to SNA tools for the mass market Includes case studies from researchers who use NodeXL on popular networks like email, Facebook, Twitter, and wikis Download companion materials and resources at https://nodexl.codeplex.com/documentation

Analyzing Social Media Networks with NodeXL

Analyzing Social Media Networks with NodeXL
Author: Derek Hansen
Publisher: Morgan Kaufmann
Total Pages: 248
Release: 2019-05-08
Genre: Computers
ISBN: 0128177578

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

Analyzing Social Media Networks with NodeXL

Analyzing Social Media Networks with NodeXL
Author: Derek L. Hansen
Publisher: Morgan Kaufmann Pub
Total Pages: 284
Release: 2011
Genre: Computers
ISBN: 9780123822291

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"Analyzing Social Media Networks with NodeXL provides a much needed resource for the social media research community, as it describes network theory, provides compelling examples using data sources like Twitter and Flickr, and highlights how to use a free sophisticated tool for analysis. This is the perfect book for anyone trying to analyze the behavior of online social networks and beyond." ---Adam Perer, Research Scientist, IBM Research "This book provides a basic introduction to social network analysis, followed by practical instruction and examples on gathering data from online sources, importing into Excel, and then analyzing the data through Excel. The book will be important for promoting research in the area for those in information science, sociology, cultural studies, virtual community, and e-commerce."---Caroline Haythornthwaite, PhD, Professor, Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign Businesses, entrepreneurs, individuals, and government agencies alike are looking to social network analysis (SNA) tools for insight into trends, connections, and fluctuations in social media. Microsoft's NodeXL is a free, open-source SNA plug-in for use with Excel. It provides instant graphical representation of relationships of complex networked data. But it goes further than other SNA tools - NodeXL was developed by a multidisciplinary team of experts that bring together information studies, computer science, sociology, human-computer interaction, and over 20 years of visual analytic theory and information visualization into a simple tool anyone can use. This makes NodeXL of interest not only to end-users but also to researchers and students studying visual and network analytics and their application in the real world.

Analyzing the Social Web

Analyzing the Social Web
Author: Jennifer Golbeck
Publisher: Newnes
Total Pages: 291
Release: 2013-02-17
Genre: Computers
ISBN: 0124058566

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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

Seven Layers of Social Media Analytics

Seven Layers of Social Media Analytics
Author: Gohar F. Khan
Publisher: Createspace Independent Publishing Platform
Total Pages: 189
Release: 2015
Genre: Business analysts
ISBN: 9781507823200

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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.

Social Media Listening and Monitoring for Business Applications

Social Media Listening and Monitoring for Business Applications
Author: Rao, N. Raghavendra
Publisher: IGI Global
Total Pages: 506
Release: 2016-09-21
Genre: Computers
ISBN: 1522508473

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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.

Social Media Data Extraction and Content Analysis

Social Media Data Extraction and Content Analysis
Author: Hai-Jew, Shalin
Publisher: IGI Global
Total Pages: 525
Release: 2016-08-01
Genre: Computers
ISBN: 1522506497

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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.

Social Network Analysis for Startups

Social Network Analysis for Startups
Author: Maksim Tsvetovat
Publisher: "O'Reilly Media, Inc."
Total Pages: 191
Release: 2011-10-06
Genre: Business & Economics
ISBN: 1449306462

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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