LEADER 03193pam a2200241 a 4500
001 978596
005 20190926092822.0
008 190930t20182018nyua g 000 0 eng d
010 $a2018956726
020 $a9783319954646 (hbk.) :$cNT5030
035 $aNO000180177
037 $a公共圖書館臺南分區資源中心
040 $aTWTNM$beng$dTWTNM
050 4$aH61.3$b.B554 2018
082 04$a300.285$222
090 $a臺南市立圖書館
245 00$aBig data in computational social science and humanities /$cShu-Heng Chen, editor.
260 $aCham, Switzerland :$bSpringer,$c[2018]
300 $axiii, 388 pages :$billustrations (some color), color maps ;$c25 cm.
490 1 $aComputational social sciences,$x2509-9574
504 $aIncludes bibliographical references and index.
505 00$tBig data in computational social sciences and humanities : an introduction /$rShu-Heng Chen and Tina Yu --$tApplications of citizen science and volunteered geographic information (VGI) : tourism development for rural communities /$rJihn-Fa Jan --$tTelling stories through R : geo-temporal mappings of epigraphic practices on Penghu /$rOliver Streiter --$tExpressing dynamic maps through seventeenth-century Taiwan Dutch manuscripts /$rAnn Heylen --$tHas homo economicus evolved into homo sapiens from 1995 to 2014 : what does corpus linguistics say? /$rYawen Zou and Shu-Heng Chen --$tBig data and FinTech /$rJia-Lang Seng, Yao-Min Chiang, Pang-Ru Chang, Feng-Shang Wu, Yung-Shen Yen, and Tzu-Chieh Tsai --$tHealth in biodiversity-related conventions : analysis of a multiplex terminological network (1973-2016) /$rClaire Lajaunie, Pierre Mazzega, and Romain Boulet --$tHow does linguistic complexity in Shakespeare's plays relate to the production history of a commercial American theater? /$rBrian Kokensparger --$tLanguage communities, corpora, and cognition /$rHuei-Ling Lai, Kawai Chui, Wen-Hui Sah, Siaw-Fong Chung, and Chao-Lin Liu --$tFrom naive expectation to realistic progress : gov
520 $aThis edited volume focuses on big data implications for computational social science and humanities from management to usage. The first part of the book covers geographic data, text corpus data, and social media data, and exemplifies their concrete applications in a wide range of fields including anthropology, economics, finance, geography, history, linguistics, political science, psychology, public health, and mass communications. The second part of the book provides a panoramic view of the development of big data in the fields of computational social sciences and humanities. The following questions are addressed: why is there a need for novel data governance for this new type of data?, why is big data important for social scientists?, and how will it revolutionize the way social scientists conduct research? With the advent of the information age and technologies such as Web 2.0, ubiquitous computing, wearable devices, and the Internet of Things, digital society has fundamentally changed what we now know as data, the very use of this data, and what we now call knowledge. Big data has become the standard in social sciences, and has made these sciences more computational. Big
650 0$aSocial sciences$xData processing.
650 0$aDigital humanities.
650 0$aBig data$xSocial aspects.
653 $a青少年
700 1 $aChen, Shu-Heng,$d1959-.
830 0$aComputational social sciences,$x2509-9574