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008 140917s2015||||enk o ||1 0|eng|d
020 _a9781316182635 (ebook)
020 _z9781107102378 (hardback)
020 _z9781107500075 (paperback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aHM533.5
_b.T95 2015
082 0 0 _a302.34072/7
_223
245 0 0 _aTwitter :
_ba digital socioscope /
_cedited by Yelena Mejova, Qatar Computing Research Institute, Ingmar Weber, Qatar Computing Research Institute, Michael W. Macy, Cornell University, Itha, New York.
264 1 _aCambridge :
_bCambridge University Press,
_c2015.
300 _a1 online resource (x, 173 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505 0 0 _tIntroduction /
_rScott A. Golder and Michael W. Macy --
_g1.
_tAnalyzing Twitter data /
_rShamanth Kumar, Fred Morstatter, and Huan Liu --
_g2.
_tPolitical opinion /
_rDaniel Gayo-Avello --
_g3.
_tSocioeconomic indicators /
_rHuina Mao --
_g4.
_tHyperlocal happiness from tweets /
_rDaniele E. Quercia --
_g5.
_tPublic health /
_rPatty Kostkova --
_g6.
_tDisaster monitoring /
_rBella Robinson, Robert Power, and Mark Cameron.
520 _aHow can Twitter data be used to study individual-level human behavior and social interaction on a global scale? This book introduces readers to the methods, opportunities, and challenges of using Twitter data to analyze phenomena ranging from the number of people infected by the flu, to national elections, to tomorrow's stock prices. Each chapter, written by leading domain experts in clear and accessible language, takes the reader to the forefront of the newly emerging field of computational social science. An introductory chapter on Twitter data analysis provides an overview of key tools and skills, and gives pointers on how to get started, while the case studies demonstrate shortcomings, limitations, and pitfalls of Twitter data as well as its advantages. The book will be an excellent resource for social science students and researchers wanting to explore the use of online data.
630 0 0 _aTwitter.
650 0 _aDyadic data analysis (Social sciences)
650 0 _aWebometrics.
650 0 _aSocial sciences
_xResearch
_xMethodology.
650 0 _aOnline social networks
_xResearch.
700 1 _aMacy, Michael W.,
_eeditor.
700 1 _aMejova, Yelena,
_d1985-
_eeditor.
700 1 _aWeber, Ingmar,
_d1978-
_eeditor.
776 0 8 _iPrint version:
_z9781107102378
856 4 0 _uhttps://doi.org/10.1017/CBO9781316182635
907 _a.b16844828
_b2020-12-22
_c2020-12-22
942 _n0
998 _a1
_b2020-12-22
_cm
_da
_feng
_genk
_y0
_z.b16844828
999 _c651825
_d651825