By Ian Foster
Both conventional scholars and dealing execs collect the talents to research Social Problems.
Big information and Social technological know-how: a realistic advisor to tools and Tools indicates easy methods to observe info technological know-how to real-world difficulties in either examine and the perform. The booklet presents sensible counsel on combining equipment and instruments from laptop technological know-how, facts, and social technology. This concrete strategy is illustrated all through utilizing a huge nationwide challenge, the quantitative examine of innovation.
The textual content attracts at the services of favourite leaders in records, the social sciences, facts technology, and machine technology to coach scholars how one can use smooth social technology examine ideas in addition to the easiest analytical and computational instruments. It makes use of a real-world problem to introduce how those instruments are used to spot and catch acceptable info, follow information technological know-how types and instruments to that information, and realize and reply to information mistakes and boundaries.
For additional information, together with pattern chapters and information, please stopover at the author's website.
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Additional info for Big data and social science: a practical guide to methods and tools
Fortunately, the wider research and data analytics community has developed a wide variety of often more scalable and ﬂexible tools—tools that we will introduce within this book. Relational database management systems (DBMSs) are used throughout business as well as the sciences to organize, process, ◮ This topic is discussed in more detail in Chapter 4. 10 1. Introduction and search large collections of structured data. , Twitter messages), and clinical notes. Extensions to these systems and also specialized single-purpose DBMSs provide support for data types that are not easily handled in statistical packages such as geospatial data, networks, and graphs.
This book is also freely available online and is supported by excellent online lectures and exercises. For MySQL, Chapter 4 provides introductory material and pointers to additional resources, so we will not say more here. We also recommend that you master GitHub. A version control system is a tool for keeping track of changes that have been made to a document over time. GitHub is a hosting service for projects that use the Git version control system. As Strasser explains , Git/GitHub makes it straightforward for researchers to create digital lab notebooks that record the data ﬁles, programs, papers, and other resources associated with a project, with automatic tracking of the changes that are made to those resources over time.
You will get an overview of basic approaches and how those approaches are applied. The chapter builds from a conceptual framework and then shows you how the diﬀerent concepts are translated into code. There is a particular focus on random forests and support vector machine (SVM) approaches. Chapter 7 describes how social scientists can make use of one of the most exciting advances in big data—text analysis. Vast amounts of data that are stored in documents can now be analyzed and searched so that diﬀerent types of information can be retrieved.
Big data and social science: a practical guide to methods and tools by Ian Foster