東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Data science and social research = e...

SpringerLink (Online service)

Linked to FindBook

Google Book

Amazon

博客來

Data science and social research = epistemology, methods, technology and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data science and social research/ edited by N. Carlo Lauro ... [et al.].
Reminder of title:	epistemology, methods, technology and applications /
other author:	Lauro, N. Carlo.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	ix, 300 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Social sciences - Research -
Online resource:	http://dx.doi.org/10.1007/978-3-319-55477-8
ISBN:	9783319554778

Data science and social research = epistemology, methods, technology and applications /
Data science and social researchepistemology, methods, technology and applications /[electronic resource] :edited by N. Carlo Lauro ... [et al.]. - Cham :Springer International Publishing :2017. - ix, 300 p. :ill., digital ;24 cm. - Studies in classification, data analysis, and knowledge organization,1431-8814. - Studies in classification, data analysis, and knowledge organization..

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.

ISBN: 9783319554778

Standard No.: 10.1007/978-3-319-55477-8doiSubjects--Topical Terms:

530784
Social sciences
--Research

LC Class. No.: H62

Dewey Class. No.: 300.72

Data science and social research = epistemology, methods, technology and applications /
LDR:02247nmm a2200289 a 4500 001 2112515
003 DE-He213
005 20180523105553.0
006 m d
007 cr nn 008maaau
008 180719s2017 gw s 0 eng d
020 $a 9783319554778 $q (electronic bk.)
020 $a 9783319554761 $q (paper)
024 7 $a 10.1007/978-3-319-55477-8 $2 doi
035 $a 978-3-319-55477-8
040 $a GP $c GP
041 0 $a eng
050 4 $a H62
082 0 4 $a 300.72 $2 23
090 $a H62 $b .D232 2017
245 0 0 $a Data science and social research $h [electronic resource] : $b epistemology, methods, technology and applications / $c edited by N. Carlo Lauro ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a ix, 300 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in classification, data analysis, and knowledge organization, $x 1431-8814
520 $a 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.
650 0 $a Social sciences $x Research $x Mathematical models. $3 530784
650 0 $a Social sciences $x Research $x Methodology. $3 524282
650 1 4 $a Statistics. $3 517247
650 2 4 $a Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. $3 894294
650 2 4 $a Methodology of the Social Sciences. $3 895565
650 2 4 $a Epistemology. $3 896969
650 2 4 $a Social Policy. $3 895540
650 2 4 $a Statistics and Computing/Statistics Programs. $3 894293
650 2 4 $a Media Research. $3 2054896
700 1 $a Lauro, N. Carlo. $3 3270333
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Studies in classification, data analysis, and knowledge organization. $3 1568262
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-55477-8
950 $a Mathematics and Statistics (Springer-11649)