Link suggestions in terrorists networks using Semi Discrete Decomposition

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F10%3A86085198" target="_blank" >RIV/61989100:27240/10:86085198 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/ISIAS.2010.5604077" target="_blank" >http://dx.doi.org/10.1109/ISIAS.2010.5604077</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ISIAS.2010.5604077" target="_blank" >10.1109/ISIAS.2010.5604077</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Link suggestions in terrorists networks using Semi Discrete Decomposition

Popis výsledku v původním jazyce

Recently several terrorist acts have created disruptions in the airline industries, tourism as well as the financial markets. It is believed just like the World War II had accelerated the development of nuclear energy, the longer-term impact of the current war on terrorism could lead to the allocation of major resources (manpower, funding etc.) towards dealing with this. In this paper, we present a social network concept to visualize a terrorist network. Visualization is very important part for analyzing a network since it can quickly provide good insight into the network structure, major members, and their properties. We used a matrix factorization methods called Semi Discrete Decomposition, which is highly suitable for dealing with huge networks. Empirical results using the 9-11 network data illustrate the efficiency of the proposed approach. 2010 IEEE.

Název v anglickém jazyce

Link suggestions in terrorists networks using Semi Discrete Decomposition

Popis výsledku anglicky

Recently several terrorist acts have created disruptions in the airline industries, tourism as well as the financial markets. It is believed just like the World War II had accelerated the development of nuclear energy, the longer-term impact of the current war on terrorism could lead to the allocation of major resources (manpower, funding etc.) towards dealing with this. In this paper, we present a social network concept to visualize a terrorist network. Visualization is very important part for analyzing a network since it can quickly provide good insight into the network structure, major members, and their properties. We used a matrix factorization methods called Semi Discrete Decomposition, which is highly suitable for dealing with huge networks. Empirical results using the 9-11 network data illustrate the efficiency of the proposed approach. 2010 IEEE.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2010

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2010 6th International Conference on Information Assurance and Security, IAS 2010

ISBN

978-1-4244-7408-0

ISSN

—

e-ISSN

—

Počet stran výsledku

3

Strana od-do

335-337

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

Atlanta

Datum konání akce

23. 8. 2010

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—