Spark for Social Science

Social science. Computational social science.

Resource Usage Characterization for Social Networks Analytics on Spark

Platforms for Big Data Analytics such as Hadoop, Spark, and Storm have gained large attention given their easy-touse programming model, scalability, and performance characteristics when processing large scale data in parallel. Along with the wide adoption of these big data platforms, Online Social Networks (OSN) have evolved as one of the major sources of information given the large amount of d...

Testament for Social Science

George Allen & Unwin Ltd. 15s. This book sets out to study the extent to which Scientific methods are being and can be used in the eld of the social sciences. The position and reputation of the author thus must command careful attention, and the importance she attaches to the subject is reflected in her choice of a title ; she is perhaps ambitious here, and the result scarcely corresponds to an...

For public social science.

Braithwaite (Research School of Social Sciences, Australian National University) (Corresponding author email: [email protected]) © London School of Economics and Political Science 2005 ISSN 0007-1315 print/1468-4446 online. Published by Blackwell Publishing Ltd, 9600 Garsington Road, Oxford OX4 2DQ, UK and 350 Main Street, Malden, MA 02148, USA on behalf of the LSE. DOI: 10.1111/j.146...

Sociolinguistics for Computational Social Science

In recent years, a major growth area in applied natural language processing has been the application of automated techniques to massive datasets in order to answer questions about society, and by extension people. Sociolinguistics, which combines anthropology, statistics and linguistics (e.g. Labov 1994, 2001), studies linguistic data in order to answer key questions about the relationship of l...