Big data and social science: a practical guide to methods by Ian Foster
By Ian Foster
Both conventional scholars and dealing pros gather the talents to research Social Problems.
Big information and Social technology: a realistic consultant to equipment and Tools indicates the right way to observe facts technological know-how to real-world difficulties in either learn and the perform. The e-book presents sensible tips on combining equipment and instruments from machine technological know-how, information, and social technology. This concrete strategy is illustrated all through utilizing an incredible nationwide challenge, the quantitative learn of innovation.
The textual content attracts at the services of sought after leaders in records, the social sciences, facts technology, and computing device technology to coach scholars find out how to use sleek social technology examine rules in addition to the simplest analytical and computational instruments. It makes use of a real-world problem to introduce how those instruments are used to spot and trap acceptable information, observe facts technology types and instruments to that info, and realize and reply to information blunders and barriers.
For additional info, 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
4) introduce three of the most important tools that can be used by social scientists to do new and exciting research: machine learning, text analysis, and social network analysis. Chapter 6 introduces machine learning methods. It shows the power of machine learning in a variety of diﬀerent contexts, particularly focusing on clustering and classiﬁcation. 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.
The new types of data permit new units of analysis—particularly network analysis—largely enabled by advances in mathematical graph theory. Thus, Chapter 8 describes how social scientists can use network theory to generate measurable representations of patterns of relationships connecting entities. As the author points out, the value of the new framework is not only in constructing diﬀerent right-hand-side variables but also in studying an entirely new unit of analysis that lies somewhere between the largely atomistic actors that occupy the markets of neo-classical theory and the tightly managed hierarchies that are the traditional object of inquiry of sociologists and organizational theorists.
Vast amounts of data that are stored in documents can now be analyzed and searched so that diﬀerent types of information can be retrieved. Documents (and the underlying activities of the entities that generated the documents) can be categorized into topics or ﬁelds as well as summarized. In addition, machine translation can be used to compare documents in diﬀerent languages. 16 1. Introduction Social scientists are typically interested in describing the activities of individuals and organizations (such as households and ﬁrms) in a variety of economic and social contexts.