Analyzing Social Media Data and Web Networks

Analyzing Social Media Data and Web Networks

Diversity Thesecond featureofthe politicalInternet thatwe focus on here is the extremely heterogeneous character of social media data. Data can be transmitted in graphic, textual andaudio formats. In order to capture such a diversemass ...

Author: M. Cantijoch

Publisher: Springer

ISBN: 9781137276773

Category: Social Science

Page: 303

View: 138

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.
Categories: Social Science

Analyzing Social Media Networks with NodeXL

Analyzing Social Media Networks with NodeXL

This book is perfect for use as a course text in social network analysis or as a guide for practicing NodeXL users.

Author: Derek Hansen

Publisher: Morgan Kaufmann

ISBN: 9780128177570

Category: Computers

Page: 248

View: 630

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/
Categories: Computers

Analyzing Political Communication with Digital Trace Data

Analyzing Political Communication with Digital Trace Data

Jungherr A, Jürgens P (2014a) Stuttgart's Black Thursday on Twitter: mapping political protests with social media data. In: Gibson R, Cantijoch M, Ward S (eds) Analyzing social media data and web networks. Palgrave Macmillan, New York, ...

Author: Andreas Jungherr

Publisher: Springer

ISBN: 9783319203195

Category: Political Science

Page: 220

View: 974

This book offers a framework for the analysis of political communication in election campaigns based on digital trace data that documents political behavior, interests and opinions. The author investigates the data-generating processes leading users to interact with digital services in politically relevant contexts. These interactions produce digital traces, which in turn can be analyzed to draw inferences on political events or the phenomena that give rise to them. Various factors mediate the image of political reality emerging from digital trace data, such as the users of digital services’ political interests, attitudes or attention to politics. In order to arrive at valid inferences about the political reality on the basis of digital trace data, these mediating factors have to be accounted for. The author presents this interpretative framework in a detailed analysis of Twitter messages referring to politics in the context of the 2009 federal elections in Germany. This book will appeal to scholars interested in the field of political communication, as well as practitioners active in the political arena.
Categories: Political Science

Analyzing Social Media Networks with NodeXL

Analyzing Social Media Networks with NodeXL

Unlike the other chapters in this volume that focus on networks that link people to other people, this chapter focuses on relationships between organizations and institutions. Other sources of network data exist on the World Wide Web ...

Author: Derek Hansen

Publisher: Morgan Kaufmann

ISBN: 0123822300

Category: Computers

Page: 304

View: 293

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
Categories: Computers

Social Media Mining and Social Network Analysis Emerging Research

Social Media Mining and Social Network Analysis  Emerging Research

Chapter 6 Analyzing Social Networks to Mine Important Friends. ... Canada Syed K. Tanbeer, University of Manitoba, Canada The emergence of Web-based communities and social networking sites has led to a vast volume of social media data, ...

Author: Xu, Guandong

Publisher: IGI Global

ISBN: 9781466628076

Category: Computers

Page: 347

View: 288

Social Media Mining and Social Network Analysis: Emerging Research highlights the advancements made in social network analysis and social web mining and its influence in the fields of computer science, information systems, sociology, organization science discipline and much more. This collection of perspectives on developmental practice is useful for industrial practitioners as well as researchers and scholars.
Categories: Computers

Mining and Analyzing Social Networks

Mining and Analyzing Social Networks

Examples of networks that exist in the real world include the world wide web [2], transport networks [9], ... Relational data is usually analysed using Social Network Analysis (SNA) [55], while attribute data is analysed using variable ...

Author: I-Hsien Ting

Publisher: Springer Science & Business Media

ISBN: 9783642134210

Category: Computers

Page: 200

View: 258

Mining social networks has now becoming a very popular research area not only for data mining and web mining but also social network analysis. Data mining is a technique that has the ability to process and analyze large amount of data and by this to discover valuable information from the data. In recent year, due to the growth of social communications and social networking websites, data mining becomes a very important and powerful technique to process and analyze such large amount of data. Thus, this book will focus upon Mining and Analyzing social network. Some chapters in this book are extended from the papers that presented in MSNDS2009 (the First International Workshop on Mining Social Networks for Decision Support) and SNMABA2009 ((The International Workshop on Social Networks Mining and Analysis for Business Applications)). In addition, we also sent invitations to researchers that are famous in this research area to contribute for this book. The chapters of this book are introduced as follows: In chapter 1-Graph Model for Pattern Recognition in Text, Qin Wu et al. present a novel approach that uses a weighted directed multigraph for text pattern recognition. In the proposed methodology, a weighted directed multigraph model has been set up by using the distances between the keywords as the weights of arcs as well a keyword-frequency distance based algorithm has also been introduced. Case studies are also included in this chapter to show the performance is better than traditional means.
Categories: Computers

The SAGE Handbook of Social Media Research Methods

The SAGE Handbook of Social Media Research Methods

Social Data Analytics Tool: A Demonstrative Case Study of Methodology and Software. In M. Cantijoch, R. Gibson, & S. Ward (Eds.), Analyzing Social Media Data and Web Networks (pp. 99–118): Palgrave Macmillan, UK.

Author: Luke Sloan

Publisher: SAGE

ISBN: 9781473987210

Category: Computers

Page: 728

View: 202

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.
Categories: Computers

Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining

Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining

Accordingly, significant technical advancements have been made to process and analyze social media data using techniques from different fields such as machine learning, natural language processing, statistics, and semantic web.

Author: Nitin Agarwal

Publisher: Springer

ISBN: 9783319941059

Category: Social Science

Page: 278

View: 954

The contributors in this book share, exchange, and develop new concepts, ideas, principles, and methodologies in order to advance and deepen our understanding of social networks in the new generation of Information and Communication Technologies (ICT) enabled by Web 2.0, also referred to as social media, to help policy-making. This interdisciplinary work provides a platform for researchers, practitioners, and graduate students from sociology, behavioral science, computer science, psychology, cultural studies, information systems, operations research and communication to share, exchange, learn, and develop new concepts, ideas, principles, and methodologies. Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining will be of interest to researchers, practitioners, and graduate students from the various disciplines listed above. The text facilitates the dissemination of investigations of the dynamics and structure of web based social networks. The book can be used as a reference text for advanced courses on Social Network Analysis, Sociology, Communication, Organization Theory, Cyber-anthropology, Cyber-diplomacy, and Information Technology and Justice.
Categories: Social Science

Analyzing and Securing Social Networks

Analyzing and Securing Social Networks

Therefore, by analyzing the data, one extracts patterns, such as people who live in the northeast smoke mostly cigarettes, ... For example, everyone in John's social network likes watching spy movies except Paul and Jane. Web Mining.

Author: Bhavani Thuraisingham

Publisher: CRC Press

ISBN: 9781482243284

Category: Computers

Page: 574

View: 933

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.
Categories: Computers

Spatializing Social Media

Spatializing Social Media

The subtle nature of Facebook politics : Swedish social network site users and political participation . ... In R. Gibson , M. Cantijoch , & S. Ward ( Eds . ) , Analyzing Social Media Data and Web Networks ( pp . 154–196 ) .

Author: Marco Bastos

Publisher: Routledge

ISBN: 9781000425635

Category: Social Science

Page: 200

View: 386

Spatializing Social Media charts the theoretical and methodological challenges in analyzing and visualizing social media data mapped to geographic areas. It introduces the reader to concepts, theories, and methods that sit at the crossroads between spatial and social network analysis to unpack the conceptual differences between online and face-to-face social networks and the nonlinear effects triggered by social activity that overlaps online and offline. The book is divided into four sections, with the first accounting for the differences between space (the geometrical arrangements that structure and enable forms of interaction) and place (the mechanisms through which social meanings are attached to physical locations). The second section covers the rationale of social network analysis and the ontological differences, stating that relationships, more than individual and independent attributes, are key to understanding of social behavior. The third section covers a range of case studies that successfully mapped social media activity to geographically situated areas and considers the inflection of homophilous dependencies across online and offline social networks. The fourth and last section of the book explores a range of networks and discusses methods for and approaches to plotting a social network graph onto a map, including the purpose-built R package Spatial Social Media. The book takes a non-mathematical approach to social networks and spatial statistics suitable for postgraduate students in sociology, psychology and the social sciences.
Categories: Social Science