Signed directed social network analysis applied to group conflict

Quan Zheng, David Skillicorn, Olivier Walther

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Abstrakt

Real-world social networks contain relationships of multiple different types, but this richness is often ignored in graph-theoretic modelling. We show how two recently developed spectral embedding techniques, for directed graphs (relationships are asymmetric) and for signed graphs (relationships are both
positive and negative), can be combined. This combination is particularly appropriate for intelligence, terrorism, and law enforcement applications. We illustrate by applying the novel embedding technique to datasets describing conflict in North-West Africa, and show how unusual interactions can be identified.
OriginalsprogEngelsk
TitelIEEE International Conference on Data Mining
ForlagIEEE
Publikationsdato2015
Sider1007-1014
ISBN (Trykt)978-1-4673-8492-6
DOI
StatusUdgivet - 2015
BegivenhedIEEE International Conference on Data Mining - Atlantic City, USA
Varighed: 14. nov. 201517. nov. 2015

Konference

KonferenceIEEE International Conference on Data Mining
LandUSA
ByAtlantic City
Periode14/11/201517/11/2015

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