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| Features of CrimeNet Explorer |
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CrimeNet
Explorer is a prototype system for exploring
criminal networks in law enforcement and intelligence
domain. It is a knowledge management tool intended
to facilitate the investigation of organized
crimes such as terrorism, narcotics trafficking,
gang-related crimes and many others. In these
crimes offenders are interrelated and they operate
in a network to commit various illegal activities.
CrimeNet Explorer can help identify the central
members, detect the groups, and extract the
structure/organization in criminal networks
based on criminal-justice data. The major
technologies used are Social Network Analysis
(SNA) methods (centrality measures and blockmodeling),
clustering, concept space approach, and multidimensional
scaling (MDS).
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| SceenShots |
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Figure 1 (A 57-member Gang network):
Nodes represent individual criminals
labeled by their names.
Links represent relationships between
criminals.
Adjust the slider to perform clustering
and blockmodeling.
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Figure 2 (The Reduced Star Structure
of the Gang Network):
Circles represent groups.
The size of a circle is proportional
to the number of group members.
Each group is labeled by its leaders
name.
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Figure
3 (The Inner Structure of a Group):
The rankings of each group member in
terms of centrality measures. The first
one of each column is the leader, gatekeeper,
and outlier, respectively.
Adjust the slider to do further blockmodeling.
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