Toward computational social science : big data in digital environments : paper

Author: special editors: Dhavan V. Shah, Joseph N. Cappella, W. Russell Neuman

Notes on use

Related materials as well as pre- and post-revision versions

Search by Bookstore

This page shows libraries in Japan other than the National Diet Library that hold the material.

Please contact your local library for information on how to use materials or whether it is possible to request materials from the holding libraries.

other

CiNii Research
Search Service
Paper
You can check the holdings of institutions and databases with which CiNii Research is linked at the site of CiNii Research.
Check the holdings of this book

You can check the details of this material, its authority (keywords that refer to materials on the same subject, author's name, etc.), etc.

Material Type: 図書
ISBN: 9781506314631
Title: Toward computational social science : big data in digital environments
Volume: : paper
Author/Editor: special editors: Dhavan V. Shah, Joseph N. Cappella, W. Russell Neuman
Author Heading: Shah, Dhavan V.
Cappella, Joseph N.
https://ci.nii.ac.jp/author/DA02503002
Neuman, W. Russell
https://ci.nii.ac.jp/author/DA00608906
Publication, Distribution, etc.: SAGE
Publication Date: 2015
Publication Date (W3CDTF): 2015
Size: 24 cm
Place of Publication (Country Code): us
Text Language Code: en
Subject Heading: Social sciences -- Data processing
Big data
Social media -- Data processing
Target Audience: 一般
Note (General): Includes bibliographical references
Related Material: Annals of the American Academy of Political and Social Science
https://cir.nii.ac.jp/crid/1130282271870802944
Related Material (URI): https://ci.nii.ac.jp/ncid/BB1932665X#entity
Periodical Title: Annals of the American Academy of Political and Social Science
https://cir.nii.ac.jp/crid/1130282271870802944
Data Provider (Database): 国立情報学研究所 : CiNii Research
Original Data Provider (Database): CiNii Books
https://ci.nii.ac.jp/books
NCID: https://ci.nii.ac.jp/ncid/BB1932665X : BB1932665X