DocumentCode :
1911177
Title :
White´s Three Disciplines and Relative Valuation Order: Countering the Social Ignorance of Automated Data Collection and Analysis
Author :
McDermott, Steven
Author_Institution :
Inst. of Commun. Studies, Univ. of Leeds, Leeds, UK
fYear :
2010
fDate :
9-11 Aug. 2010
Firstpage :
72
Lastpage :
79
Abstract :
This paper asks which of White´s (2009) three disciplines and relative valuation orders does the Singapore blogosphere adhere to. Analysing not just the hyperlink connections but the textual discourse; and in doing so attempts to highlight certain limitations of using automated data mining and analysis software. Using the Singapore blogosphere, described by Lin, Sundaram, Chi, Tatemura, and Tseng, (2006) and Hurst (2006), as an isolated and distinct network with no theme or focus, I have targeted blogs using social network analysis uncovering the key players, with higher levels of `betweenness centrality´ (de Nooy & Mrvar et al., 2005) and the themes and discipline of the Singapore blogosphere. This case study will help highlight the analytic framework, benefits and limitations of using social network analysis and an ethnographical approach to networks. This paper also highlights the use of various software technology; blogs, IssueCrawler, HTTrack, NetDraw, and Leximancer while using an ethnographic approach to counter the social ignorance of automated electronic software.
Keywords :
data mining; semantic Web; social networking (online); HTTrack; IssueCrawler; Leximancer; NetDraw; Singapore blogosphere; automated analysis software; automated data mining; automated electronic software; ethnographical approach; hyperlink connection; relative valuation order; social ignorance; social network analysis; software technology; textual discourse; whites three disciplines; Blogs; Context; Cost accounting; Data mining; Semantics; Social network services; Software; data mining; disciplines; semantic network analysis; social ignorance; social network analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Social Networks Analysis and Mining (ASONAM), 2010 International Conference on
Conference_Location :
Odense
Print_ISBN :
978-1-4244-7787-6
Electronic_ISBN :
978-0-7695-4138-9
Type :
conf
DOI :
10.1109/ASONAM.2010.16
Filename :
5562788
Link To Document :
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