Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/122371
題名: Analysis of social media data: An introduction to characteristics and chronological process
作者: 鄭宇君
Chen, Pai-Lin;Cheng, Yu-Chung;Chen, Kung
陳百齡
貢獻者: 新聞系
關鍵詞: Social media ;Digital footprints ;Social big data ;Data analytics ;Computational thinking
日期: Nov-2018
上傳時間: 15-Feb-2019
摘要: A means toward understanding the problems facing today’s social scientists is through the analysis of social media data. This analysis is approached by forecasting and analyzing phenomena within social media generated big data. The approach demands interdisciplinary teamwork between the data sciences and other disciplines. The aforementioned is still an emerging discourse, thereby demanding the ongoing devotion of researchers in allied disciplines. This chapter seeks to describe the characteristics, elements, and the chronological process of analyzing social media data from a mass communication scholar’s perspective. It aims to present the chronological process in which a researcher deals with social media data in the form of case studies, and how that researcher deals with the social data regarding the study’s posed question.
關聯: Big Data in Computational Social Science and Humanities, Springer Nature Switzerland AG, pp.297-321 Chapter 16
資料類型: book/chapter
DOI: http://dx.doi.org/10.1007/978-3-319-95465-3_16
Appears in Collections:期刊論文

Files in This Item:
File Description SizeFormat
10.1007_978-3-319-95465-3_16.pdf700.69 kBAdobe PDF2View/Open
Show full item record

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.