Big data and social science: a practical guide to methods by Ian Foster PDF

By Ian Foster

ISBN-10: 1498751407

ISBN-13: 9781498751407

Both conventional scholars and dealing execs gather the talents to investigate Social Problems.

Big facts and Social technology: a realistic consultant to equipment and Tools indicates the way to practice facts technological know-how to real-world difficulties in either learn and the perform. The publication presents sensible advice on combining tools and instruments from laptop technological know-how, records, and social technology. This concrete technique is illustrated all through utilizing an incredible nationwide challenge, the quantitative learn of innovation.

The textual content attracts at the services of favourite leaders in information, the social sciences, facts technology, and desktop technological know-how to coach scholars tips on how to use sleek social technological know-how learn rules 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 applicable facts, practice facts technological know-how types and instruments to that information, and realize and reply to facts error and barriers.

For additional info, together with pattern chapters and information, please stopover at the author's website.

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Extra resources for Big data and social science: a practical guide to methods and tools

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This simplifies the record linkage process and is necessary if the goal of record linkage is to find the best set of one-to-one links (as opposed to a list of all possible links). One can deduplicate a list by applying record linkage techniques described in this chapter to link a file to itself. Normalization is the process of ensuring that the fields that are being compared across files are as similar as possible in the sense that they could have been generated by the same process. At minimum, the same standardization rules should be applied to both files.

In this case we can see that of the 70 publications listed in this ORCID profile (at the time of testing), 66 have DOIs. type == "DOI"] >> len(DOIs) 66 Wrappers generally make operating with an API simpler and cleaner by abstracting away the details of making HTTP requests. Achieving the same by directly interacting with the ORCID API would require constructing the appropriate URLs and parsing the returned data into a usable form. Where a wrapper is available it is generally much easier to use. However, wrappers may not be actively developed and may lag the development of the API.

The research enterprise has been framed as being made up of people who are generating outputs. The data that we consider in this chapter relate to connections between outputs, such as citations between research articles and tweets referring to articles. 3. The people in turn may be classed as belonging to certain categories or communities. 2, is that many of these people are not professional researchers. Indeed, in some cases they may not be people at all but automated systems of some kind. This means we need to expand the set of actors we are considering.

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Big data and social science: a practical guide to methods and tools by Ian Foster


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