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Seeking an Online Social Media Radar.

ter Veen, James.

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Seeking an Online Social Media Radar.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Seeking an Online Social Media Radar./
Author:	ter Veen, James.
Description:	127 p.
Notes:	Source: Dissertation Abstracts International, Volume: 75-07(E), Section: B.
Contained By:	Dissertation Abstracts International75-07B(E).
Subject:	Engineering, System Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3614826
ISBN:	9781303805073

Seeking an Online Social Media Radar.
ter Veen, James.

Seeking an Online Social Media Radar. - 127 p.

Source: Dissertation Abstracts International, Volume: 75-07(E), Section: B.

Thesis (Ph.D.)--The George Washington University, 2014.

Purpose: The purpose of this paper is to explore how the application of Systems Engineering tools and techniques can be applied to rapidly process and analyze the vast amounts of data present in social media in order to yield practical knowledge for Command and Control (C2) systems.

ISBN: 9781303805073Subjects--Topical Terms:

1018128
Engineering, System Science.

Seeking an Online Social Media Radar.
LDR:02058nam a2200313 4500 001 1967158
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008 150210s2014 ||||||||||||||||| ||eng d
020 $a 9781303805073
035 $a (MiAaPQ)AAI3614826
035 $a AAI3614826
040 $a MiAaPQ $c MiAaPQ
100 1 $a ter Veen, James. $3 2104102
245 1 0 $a Seeking an Online Social Media Radar.
300 $a 127 p.
500 $a Source: Dissertation Abstracts International, Volume: 75-07(E), Section: B.
500 $a Advisers: Shahram Sarkani; Thomas Mazzuchi.
502 $a Thesis (Ph.D.)--The George Washington University, 2014.
520 $a Purpose: The purpose of this paper is to explore how the application of Systems Engineering tools and techniques can be applied to rapidly process and analyze the vast amounts of data present in social media in order to yield practical knowledge for Command and Control (C2) systems.
520 $a Design/methodology/approach: Based upon comparative analysis of related literature a conceptual model is proposed and a Systems Engineering trade study conducted for capabilities to predict mass collective action based on social network analysis tools.
520 $a Findings: The study conducted in the course of this research demonstrates significant relationships between Social Network Analysis (SNA) parameters, which describe Node Influence measured in an online social network, to reported crowd sizes at protest demonstrations. Furthermore, Network Communication variables measured in an online social network were also shown to have significant relationships to reported crowd sizes. It is concluded that while further study of larger datasets is needed, this avenue of approach is warranted and could lead to an operational online social media radar sensor system.
590 $a School code: 0075.
650 4 $a Engineering, System Science. $3 1018128
650 4 $a Information Science. $3 1017528
650 4 $a Web Studies. $3 1026830
690 $a 0790
690 $a 0723
690 $a 0646
710 2 $a The George Washington University. $b Engineering Mgt and Systems Engineering. $3 1028210
773 0 $t Dissertation Abstracts International $g 75-07B(E).
790 $a 0075
791 $a Ph.D.
792 $a 2014
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3614826