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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.

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 SNADemonstrates how visual analytics research can be applied to SNA tools for the mass marketIncludes case studies from researchers who use NodeXL on popular networks like email, Facebook, Twitter, and wikisDownload companion materials and resources at https://nodexl.codeplex.com/documentation

As users interact via social media spaces, like Twitter, they form connections that emerge into complex social network structures. These connections are indicators of content sharing, and network structures reflect patterns of information flow. This article proposes a conceptual and practical model for the classification of topical Twitter networks, based on their network-level structures. As current literature focuses on the classification of users to key positions, this study utilizes the overall network structures in order to classify Twitter conversation based on their patterns of information flow. Four network-level metrics, which have established as indicators of information flow characteristics—density, modularity, centralization, and the fraction of isolated users—are utilized in a three-step classification model. This process led us to suggest six structures of information flow: divided, unified, fragmented, clustered, in and out hub-and-spoke networks. We demonstrate the value of these network structures by segmenting 60 Twitter topical social media network datasets into these six distinct patterns of collective connections, illustrating how different topics of conversations exhibit different patterns of information flow. We discuss conceptual and practical implications for each structure.

Social media has transformed the way health messages are communicated. This has created new challenges and ethical considerations while providing a platform to share nutrition information for communities to connect and for information to spread. However, research exploring the web-based diet communities of popular diets is limited. This study aims to characterize the web-based discourse of popular diets, describe information dissemination, identify influential voices, and explore interactions between community networks and themes of mental health. This exploratory study used Twitter social media posts for an online social network analysis. Popular diet keywords were systematically developed, and data were collected and analyzed using the NodeXL metrics tool (Social Media Research Foundation) to determine the key network metrics (vertices, edges, cluster algorithms, graph visualization, centrality measures, text analysis, and time-series analytics). The vegan and ketogenic diets had the largest networks, whereas the zone diet had the smallest network. In total, 31.2% (54/173) of the top users endorsed the corresponding diet, and 11% (19/173) claimed a health or science education, which included 1.2% (2/173) of dietitians. Complete fragmentation and hub and spoke messaging were the dominant network structures. In total, 69% (11/16) of the networks interacted, where the ketogenic diet was mentioned most, with depression and anxiety and eating disorder words most prominent in the \"zone diet\" network and the least prominent in the \"soy-free,\" \"vegan,\" \"dairy-free,\" and \"gluten-free\" diet networks. Social media activity reflects diet trends and provides a platform for nutrition information to spread through resharing. A longitudinal exploration of popular diet networks is needed to further understand the impact social media can have on dietary choices. Social media training is vital, and nutrition professionals must work together as a community to actively reshare evidence-based posts on the web.

The peak-load pricing problem for postal service is addressed in practice primarily by means of service differentiation according to the class of mail. An analysis of the characteristics of mail processing operations in the UK and the US indicates that such service differentiation, through deferred processing of lower priority mail at peak times, mitigates, but does not eliminate, the peak-load problem. A peak-load pricing model with limited deferrability is proposed and analyzed. This analysis leads to service-differentiated marginal cost pricing under welfare maximization. The model assumes that there are 2 classes of mail: first class and 2nd class. The 2-tier pricing policy of the UK postal system provides a price differential explicitly related to speed of delivery, a clear example of the peak-load pricing theory on which the model is based. The analysis suggests that there may be a potential for limited deferral in postal services.

This book highlights some recent advances in interfacial research in the fields of fluid mechanics and materials science at the beginning of the twenty-first century. It is an extension of the presentations made during the conference \"Interfaces for the 21st Century,\" held on August 16-18, 1999, in Monterey, California. It includes papers by sixteen renowned experts in the field of interfacial mechanics, abstracts contributed by research scientists, and a summary of a panel discussion on future research directions. The book covers experimental and theoretical approaches, with the unifying philosophy being the investigation of new techniques for modeling the dynamics of interfaces. A number of new and exciting solution methods and experimental studies, as well as the physical problems that initiated them, are presented.Contents:The Effect of a Stabilising Gradient on Interface Morphology (T Maxworthy)Spreading of a Liquid Drop with Mass Loss (L M Hocking)Viscous Gravity Currents with Solidification (M Bunk et al.)Coarsening Dynamics of Roll Waves (H-C Chang E A Demekhin)Thermocapillary Control with Feedback of Large Wavelength Interfacial Instabilities (R E Kelly)Pattern Formation in Thin Liquid Films (D Gallez E R de Souza)Molecular Aspects of Contact-Line Dynamics (J Koplik J R Banavar)Computational Methods for Advancing Interfaces (J A Sethian)Direct Numerical Simulations of Multiphase Flows (G Tryggvason B Bunner)A Phase-Field Model with Convection: Numerical Simulations (D M Anderson et al.)Phase Field Model of Multicomponent Alloy Solidification with Hydrodynamics (R F Sekerka Z Bi)The Effects of a Stress-Dependent Mobility on Interfacial Stability (P W Voorhees M J Aziz)Non-Constant Growth Characteristics of Pivalic Acid Dendrites in Microgravity (J C LaCombe et al.)Interfaces on All Scales During Solidification and Melting (M G Worster)Phase and Microstructure Selection in Peritectics (W Kurz S Dobler)Model Phase Diagrams for an FFC Alloy (R J Braun et al.)and other papersReadership: Researchers and graduate students in fluid mechanics and materials science.

Visualizing and making sense of large social media networks can be challenging, particularly if they are densely connected. This chapter describes different strategies for analyzing large network data sets. One strategy is to roll up relationship data into a more summarized form before the analysis and visualization. Another strategy for dealing with large data sets is to filter the data by removing selected vertices or edges. Filtering can help to identify vertices or edges with extreme values and their relationship to one another. Filtering can also be used to compare relationships between different subsets of people, such as those in different regions or age ranges. It is often necessary to filter large networks to create understandable network visualizations without large numbers of edge crossings or vertex overlaps. Filtering can also be an excellent method for exploring networks, particularly when using dynamic filtering tools such as those provided in NodeXL. The chapter also introduces multimodal networks, where vertices represent more than one type of entity (e.g., people and discussion forums) in the same network.

Social media refers to a set of online tools that supports social interaction between users. In practice, it is a catchall phrase intended to describe the many novel online sociotechnical systems that have emerged in recent years, including services like email, discussion forums, blogs, microblogs, texting, chat, social networking sites, wikis, photo and video sharing sites, review sites, and multiplayer gaming communities. Social media tools allow users to collaboratively create, find, share, evaluate, and make sense of the mass of information available online. Social media systems come in a variety of forms and support numerous genres of interaction. Key dimensions along which many social media services can be located include size of producer and consumer population, pace of interaction, genre of basic elements, control of basic elements, types of connections, and retention of content. The chapter presents a brief description of some popular types of social media, such as asynchronous threaded conversations, synchronous conversations, the World Wide Web, blogs, podcasts, social sharing sites, social networking services, online markets and production, virtual worlds, and mobile-based services.