English  |  正體中文  |  简体中文  |  Items with full text/Total items : 88295/117812 (75%)
Visitors : 23401319      Online Users : 99
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大機構典藏 > 傳播學院 > 新聞學系 > 期刊論文 >  Item 140.119/122371
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/122371

    Title: Analysis of social media data: An introduction to characteristics and chronological process
    Authors: 鄭宇君
    Chen, Pai-Lin;Cheng, Yu-Chung;Chen, Kung
    Contributors: 新聞系
    Keywords: Social media;Digital footprints;Social big data;Data analytics;Computational thinking
    Date: 2018-11
    Issue Date: 2019-02-15 14:12:23 (UTC+8)
    Abstract: 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.
    Relation: Big Data in Computational Social Science and Humanities, Springer Nature Switzerland AG, pp.297-321 Chapter 16
    Data Type: book/chapter
    DOI 連結: http://dx.doi.org/10.1007/978-3-319-95465-3_16
    DOI: 10.1007/978-3-319-95465-3_16
    Appears in Collections:[新聞學系] 期刊論文

    Files in This Item:

    File Description SizeFormat
    10.1007_978-3-319-95465-3_16.pdf700KbAdobe PDF65View/Open

    All items in 政大典藏 are protected by copyright, with all rights reserved.

    社群 sharing

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback