Extraction Distractions: A Comparison of Social Network Model Construction Methods

Author

Morris, James F. ; Anthony, Keith ; Kennedy, Maj Kevin T ; Deckro, Richard F.

Author_Institution

Dept. of Operational Sci., Air Force Inst. of Technol., Wright-Patterson AFB, OH, USA

fYear

2011

fDate

12-14 Sept. 2011

Firstpage

273

Lastpage

276

Abstract

This study investigates the suitability of automated extraction to generate datasets for social network analysis (SNA) by constructing social networks through Pre Conflict. org´s Dyna Link tool and the traditional manual snowball approach. Comparisons between the two techniques are accomplished via analytic results derived from commonly applied SNA centrality measures. Results indicate that automated extraction can incorporate a substantial amount of extraneous actors and relationships into the social network model necessitating an analyst review of the acquired data.

Keywords

criminal law; network theory (graphs); terrorism; DynaLink tool; criminal organization; dataset generation; extraction distraction; insurgent organization; manual snowball approach; social network analysis; social network model construction method; terrorist organization; Analytical models; Correlation; Couplings; Data mining; Data models; Social network services; Time measurement; Muslim Brotherhood; automated data collection; centrality measures correlation; snowball; social network analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligence and Security Informatics Conference (EISIC), 2011 European

Conference_Location

Athens

Print_ISBN

978-1-4577-1464-1

Electronic_ISBN

978-0-7695-4406-9

Type

conf

DOI

10.1109/EISIC.2011.63

Filename

6061248