From the author of Mastering Civility, a thoroughly researched exploration of the impact and importance of building thriving communities, with actionable steps on how to create them in your work and broader life. In her powerful new book, Christine Porath explores how the rise of technology and modern workplace practices have fractured our communications yet left us always “on” digitally. Through now common practices like hot-desking and remote work (even without the added isolation of social distancing we experienced during the pandemic), our human interactions have decreased, and so too have our happiness levels. This lack of a “human factor” is sparking a crisis in mental health that will have repercussions for years to come, leaving people lonelier and making the bottom line suffer, too. What Christine has discovered in her research is that leaders, organizations, and managers of all stripes may recognize there is a cost, but have no idea as to implement the cure: Community. With her signature depth and grasp of research across myriad industries including business, healthcare, hospitality, and sports, Christine extrapolates from the statistics on the experiences of hundreds of thousands of people across six continents to show us the potential for change. Through sharing information about the community, empowering decision-making discretion and autonomy, creating a respectful environment, offering feedback, providing a sense of meaning, and boosting member well-being, anyone can help a community truly flourish. The applications are endless, the stories are positive and uplifting, and will inspire the reader to establish and grow their community—be it in the workplace or the PTA—and make it thrive.

Your digital presence tells the story of who you are... so what should you be saying? In a world overflowing with the noise of Facebook updates, tweets, blog posts, Pinterest pins and YouTube video responses, it’s difficult to connect with the people who matter most to your business and your career. Mastering Story, Community and Influence explains the art of social media storytelling, showing you how to turn your offline expertise into the sort of online thought-leadership that cuts through the noise and attracts larger, more important communities. Whether you’re new to social media or racing to keep up with every new platform, social media storyteller extraordinaire, Jay Oatway, reveals the underlying mechanics and best practices behind becoming a serious online influencer. Mastering Story, Community and Influence will help you become an authoritative presence online and build both the reputation and community you need for your future success in the Social Media Era.

Master the Shiny web framework—and take your R skills to a whole new level. By letting you move beyond static reports, Shiny helps you create fully interactive web apps for data analyses. Users will be able to jump between datasets, explore different subsets or facets of the data, run models with parameter values of their choosing, customize visualizations, and much more. Hadley Wickham from RStudio shows data scientists, data analysts, statisticians, and scientific researchers with no knowledge of HTML, CSS, or JavaScript how to create rich web apps from R. This in-depth guide provides a learning path that you can follow with confidence, as you go from a Shiny beginner to an expert developer who can write large, complex apps that are maintainable and performant. Get started: Discover how the major pieces of a Shiny app fit together Put Shiny in action: Explore Shiny functionality with a focus on code samples, example apps, and useful techniques Master reactivity: Go deep into the theory and practice of reactive programming and examine reactive graph components Apply best practices: Examine useful techniques for making your Shiny apps work well in production

"The most useful, well-written, and emotionally compelling business book I have read in years. I couldn't put it down." -- Robert I. Sutton, Stanford Professor and author of The No Asshole Rule "A must-read for every leader in their field." -- Daniel H. Pink, bestselling author of To Sell is Human Incivility is silently chipping away at people, organizations, and our economy. Slights, insensitivities, and rude behaviors can cut deeply. Moreover, incivility hijacks focus. Even if people want to perform well, they can't. Customers too are less likely to buy from a company with an employee who is perceived as rude. Ultimately, incivility cuts the bottom line. In Mastering Civility, Christine Porath shows how people can enhance their influence and effectiveness with civility. Combining scientific research with fascinating evidence from popular culture and fields such as neuroscience, medicine, and psychology, this book provides managers and employers with a much-needed wake-up call, while also reminding them of what they can do right now to improve the quality of their workplaces.

This call to action from AAM's Museums and Community Initiative challenges museums to pursue their potential as active, visible players in community life. Essays and reflections offer food for thought on the complex process of changing the terms of engagement between communities and museums.

Extract valuable data from your social media sites and make better business decisions using R About This Book Explore the social media APIs in R to capture data and tame it Employ the machine learning capabilities of R to gain optimal business value A hands-on guide with real-world examples to help you take advantage of the vast opportunities that come with social media data Who This Book Is For If you have basic knowledge of R in terms of its libraries and are aware of different machine learning techniques, this book is for you. Those with experience in data analysis who are interested in mining social media data will find this book useful. What You Will Learn Access APIs of popular social media sites and extract data Perform sentiment analysis and identify trending topics Measure CTR performance for social media campaigns Implement exploratory data analysis and correlation analysis Build a logistic regression model to detect spam messages Construct clusters of pictures using the K-means algorithm and identify popular personalities and destinations Develop recommendation systems using Collaborative Filtering and the Apriori algorithm In Detail With an increase in the number of users on the web, the content generated has increased substantially, bringing in the need to gain insights into the untapped gold mine that is social media data. For computational statistics, R has an advantage over other languages in providing readily-available data extraction and transformation packages, making it easier to carry out your ETL tasks. Along with this, its data visualization packages help users get a better understanding of the underlying data distributions while its range of "standard" statistical packages simplify analysis of the data. This book will teach you how powerful business cases are solved by applying machine learning techniques on social media data. You will learn about important and recent developments in the field of social media, along with a few advanced topics such as Open Authorization (OAuth). Through practical examples, you will access data from R using APIs of various social media sites such as Twitter, Facebook, Instagram, GitHub, Foursquare, LinkedIn, Blogger, and other networks. We will provide you with detailed explanations on the implementation of various use cases using R programming. With this handy guide, you will be ready to embark on your journey as an independent social media analyst. Style and approach This easy-to-follow guide is packed with hands-on, step-by-step examples that will enable you to convert your real-world social media data into useful, practical information.

Acquire and analyze data from all corners of the social web with Python About This Book Make sense of highly unstructured social media data with the help of the insightful use cases provided in this guide Use this easy-to-follow, step-by-step guide to apply analytics to complicated and messy social data This is your one-stop solution to fetching, storing, analyzing, and visualizing social media data Who This Book Is For This book is for intermediate Python developers who want to engage with the use of public APIs to collect data from social media platforms and perform statistical analysis in order to produce useful insights from data. The book assumes a basic understanding of the Python Standard Library and provides practical examples to guide you toward the creation of your data analysis project based on social data. What You Will Learn Interact with a social media platform via their public API with Python Store social data in a convenient format for data analysis Slice and dice social data using Python tools for data science Apply text analytics techniques to understand what people are talking about on social media Apply advanced statistical and analytical techniques to produce useful insights from data Build beautiful visualizations with web technologies to explore data and present data products In Detail Your social media is filled with a wealth of hidden data – unlock it with the power of Python. Transform your understanding of your clients and customers when you use Python to solve the problems of understanding consumer behavior and turning raw data into actionable customer insights. This book will help you acquire and analyze data from leading social media sites. It will show you how to employ scientific Python tools to mine popular social websites such as Facebook, Twitter, Quora, and more. Explore the Python libraries used for social media mining, and get the tips, tricks, and insider insight you need to make the most of them. Discover how to develop data mining tools that use a social media API, and how to create your own data analysis projects using Python for clear insight from your social data. Style and approach This practical, hands-on guide will help you learn everything you need to perform data mining for social media. Throughout the book, we take an example-oriented approach to use Python for data analysis and provide useful tips and tricks that you can use in day-to-day tasks.