株式会社極東書店トップ ＞ 商品一覧 ＞ Data Science and Social Research : Epistemology, Methods, Technology and Applications.
商品詳細
Data Science and Social Research : Epistemology, Methods, Technology and Applications. データ科学と社会調査
・ISBN 978-3-319-55476-1 paper EUR 159.99
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| 著者・編者 | Lauro, N. Carlo / Amaturo, E. / Grassia, M. G. et al. (eds.), |
|---|---|
| シリーズ | Studies in Classification, Data Analysis, and Knowledge Organization |
| 出版社 | (Springer, GW) |
| 出版年月 | 2017 |
| ページ数 | 286 pp. |
| 言語 | ENG |
| ニュース番号 | ＜641-2291 641-P5215＞ |
解説
This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data science in the social sciences. It presents data science techniques for the collection, analysis and use of both online and offline new (big) data in social research and related applications. Among others, the individual contributions cover topics like social media, learning analytics, clustering, statistical literacy, recurrence analysis and network analysis.
Data science is a multidisciplinary approach based mainly on the methods of statistics and computer science, and its aim is to develop appropriate methodologies for forecasting and decision-making in response to an increasingly complex reality often characterized by large amounts of data (big data) of various types (numeric, ordinal and nominal variables, symbolic data, texts, images, data streams, multi-way data, social networks etc.) and from diverse sources.
This book presents selected papers from the international conference on Data Science & Social Research, held in Naples, Italy in February 2016, and will appeal to researchers in the social sciences working in academia as well as in statistical institutes and offices.