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Methods For Analyzing Social Media

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Methods For Analyzing Social Media

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Author : Jakob Linaa Jensen
language : en
Publisher: Routledge
Release Date : 2024-10-14

Methods For Analyzing Social Media written by Jakob Linaa Jensen and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-14 with Social Science categories.

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.

Methods For Analyzing Social Media

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Author : Klaus Bredl
language : en
Publisher: Routledge
Release Date : 2017-07-05

Methods For Analyzing Social Media written by Klaus Bredl and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-05 with Social Science categories.

The Sage Handbook Of Social Media Research Methods

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Author : Luke Sloan
language : en
Publisher: SAGE
Release Date : 2017-01-26

The Sage Handbook Of Social Media Research Methods written by Luke Sloan and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-26 with Social Science categories.

With coverage of the entire research process in social media, data collection and analysis on specific platforms, and innovative developments in the field, this handbook is the ultimate resource for those looking to tackle the challenges that come with doing research in this sphere.

Social Media Analytics

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Author : Matt Ganis
language : en
Publisher:
Release Date : 2016

Social Media Analytics written by Matt Ganis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Business categories.

This is a complete insider's guide for all executives and marketing analysts who want to answer mission-critical questions and maximize the business value of their social media data. The authors offer thorough and practical coverage of the entire process: identifying the right unstructured data, analyzing it, and interpreting and acting on the knowledge you gain. Their expert guidance, practical tools, and detailed examples will help you learn more from all your social media conversations, and avoid pitfalls that can lead to costly mistakes. --

Models And Methods In Social Network Analysis

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Author : Peter J. Carrington
language : en
Publisher:
Release Date : 2005-02-07

Models And Methods In Social Network Analysis written by Peter J. Carrington and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-02-07 with Psychology categories.

Models and Methods in Social Network Analysis presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of articles by leading methodologists reviewing advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, the analysis of diffusion through networks, the analysis of affiliation or 'two-mode' networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for the analysis of social networks.

Social Network Analysis

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Author : Song Yang
language : en
Publisher: SAGE Publications, Incorporated
Release Date : 2016-12-02

Social Network Analysis written by Song Yang and has been published by SAGE Publications, Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-02 with Social Science categories.

Social Network Analysis: Methods and Examples by Song Yang, Franziska B. Keller, and Lu Zheng prepares social science students to conduct their own social network analysis (SNA) by covering basic methodological tools along with illustrative examples from various fields. This innovative book takes a conceptual rather than a mathematical approach as it discusses the connection between what SNA methods have to offer and how those methods are used in research design, data collection, and analysis. Four substantive applications chapters provide examples from politics, work and organizations, mental and physical health, and crime and terrorism studies.

Social Network Analytics

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Author : Nilanjan Dey
language : en
Publisher: Academic Press
Release Date : 2018-11-23

Social Network Analytics written by Nilanjan Dey and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-23 with Computers categories.

Social Network Analytics: Computational Research Methods and Techniques focuses on various technical concepts and aspects of social network analysis. The book features the latest developments and findings in this emerging area of research. In addition, it includes a variety of applications from several domains, such as scientific research, and the business and industrial sectors. The technical aspects of analysis are covered in detail, including visualizing and modeling, network theory, mathematical models, the big data analytics of social networks, multidimensional scaling, and more. As analyzing social network data is rapidly gaining interest in the scientific research community because of the importance of the information and insights that can be culled from the wealth of data inherent in the various aspects of the network, this book provides insights on measuring the relationships and flows between people, groups, organizations, computers, URLs, and more.

Analyzing Social Media Networks With Nodexl

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Author : Derek Hansen
language : en
Publisher: Morgan Kaufmann
Release Date : 2010-09-14

Analyzing Social Media Networks With Nodexl written by Derek Hansen and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-14 with Computers categories.

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

Sentiment Analysis For Social Media

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Author : Carlos A. Iglesias
language : en
Publisher: MDPI
Release Date : 2020-04-02

Sentiment Analysis For Social Media written by Carlos A. Iglesias and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-02 with Technology & Engineering categories.

Sentiment analysis is a branch of natural language processing concerned with the study of the intensity of the emotions expressed in a piece of text. The automated analysis of the multitude of messages delivered through social media is one of the hottest research fields, both in academy and in industry, due to its extremely high potential applicability in many different domains. This Special Issue describes both technological contributions to the field, mostly based on deep learning techniques, and specific applications in areas like health insurance, gender classification, recommender systems, and cyber aggression detection.

Analyzing Social Media Networks With Nodexl

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Author : Derek Hansen
language : en
Publisher: Morgan Kaufmann
Release Date : 2019-05-08

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/

Methods For Analyzing Social Media

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