Finding the needles in the haystack: efficient intelligence processing

Nedialko B Dimitrov, Moshe Kress and Yuval Nevo
Additional contact information
Nedialko B Dimitrov: The University of Texas at Austin, Austin, TX, USA
Moshe Kress: Naval Postgraduate School, Monterey, CA, USA
Yuval Nevo: Naval Postgraduate School, Monterey, CA, USA

Journal of the Operational Research Society, 2016, vol. 67, issue 6, 801-812

Abstract: As a result of communication technologies, the main intelligence challenge has shifted from collecting data to efficiently processing it so that relevant, and only relevant, information is passed on to intelligence analysts. We consider intelligence data intercepted on a social communication network. The social network includes both adversaries (eg terrorists) and benign participants. We propose a methodology for efficiently searching for relevant messages among the intercepted communications. Besides addressing a real and urgent problem that has attracted little attention in the open literature thus far, the main contributions of this paper are two-fold. First, we develop a novel knowledge accumulation model for intelligence processors, which addresses both the nodes of the social network (the participants) and its edges (the communications). Second, we propose efficient prioritization algorithms that utilize the processor’s accumulated knowledge. Our approach is based on methods from graphical models, social networks, random fields, Bayesian learning, and exploration/exploitation algorithms.

Date: 2016
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.palgrave-journals.com/jors/journal/v67/n6/pdf/jors201584a.pdf Link to full text PDF (application/pdf)
http://www.palgrave-journals.com/jors/journal/v67/n6/full/jors201584a.html Link to full text HTML (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pal:jorsoc:v:67:y:2016:i:6:p:801-812

Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/41274

Access Statistics for this article

Journal of the Operational Research Society is currently edited by Tom Archibald and Jonathan Crook

More articles in Journal of the Operational Research Society from Palgrave Macmillan, The OR Society
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().