US 2014/0195984 A1 · ANALYTIC FRAMEWORKS FOR PERSONS OF INTEREST

Abstract

The present systems and methods relate to frameworks for identifying persons of interest identified through datasets collected from law-enforcement agencies, financial institutions, or other public resources. The present systems represent network data regarding individuals and explicit connections between them as a network graph. The present systems determine a statistical model representing the network graph, the statistical model generating hidden parameters for decomposing and projecting the network graph onto a space of baseline communities. The present systems categorize cliques of nodes in the network graph as the space of baseline communities and infer a category for a received potential person of interest by determining a node corresponding to the received potential person of interest, and associating a clique from the categorized cliques to the node corresponding to the received potential person of interest, where the inferred category for the potential person of interest identifies the potential person of interest as suspicious.

Claims20

Dependent claims

A system for identifying persons of interest using network data, the system comprising:

a memory for storing network data regarding persons of interest, wherein the network data is stored as a network graph of persons of interest, and wherein the network graph represents individual people as nodes in the network graph and connections between the people as edges in the network graph;
a display for rendering a computer-implemented user interface regarding the persons of interest;
and
at least one processor coupled to the memory and to the display, the processor configured to:
determine a statistical model representing the network graph, the statistical model generating hidden parameters modeling the network data, for decomposing and projecting the network graph onto a space of baseline communities;
categorize cliques of nodes in the network graph as the space of baseline communities based at least in part on the statistical model;
infer a category for a received potential person of interest by determining a node corresponding to the received potential person of interest and associating a clique from the categorized cliques of nodes to the node corresponding to the received potential person of interest, and wherein the inferred category for the potential person of interest identifies the potential person of interest as suspicious;
and
render, using the display, the inferred category for the received person of interest.

6 more elements

A computer-implemented method for identifying persons of interest using network data, the method comprising:

storing, in a computer memory, network data regarding persons of interest, wherein the network data is stored as a network graph of persons of interest, and wherein the network graph represents individual people as nodes in the network graph and connections between the people as edges in the network graph;
rendering, on a display, a user interface regarding the persons of interest;
determining a statistical model representing the network graph, the statistical model generating hidden parameters modeling the network data, for decomposing and projecting the network graph onto a space of baseline communities;
categorizing cliques of nodes in the network graph as the space of baseline communities based at least in part on the statistical model;
inferring a category for a received potential person of interest by determining a node corresponding to the received potential person of interest and associating a clique from the categorized cliques of nodes to the node corresponding to the received potential person of interest, and wherein the inferred category for the potential person of interest identifies the potential person of interest as suspicious;
and
rendering, using the display, the inferred category for the received person of interest.

4 more elements

A non-transitory computer program product for identifying persons of interest using network data, tangibly embodied in a computer-readable medium, the computer program product including instructions operable to cause a data processing apparatus to:

store, in a computer memory, network data regarding persons of interest, wherein the network data is stored as a network graph of persons of interest, and wherein the network graph represents individual people as nodes in the network graph and connections between the people as edges in the network graph;
render, on a display, a user interface regarding the persons of interest;
determine a statistical model representing the network graph, the statistical model generating hidden parameters modeling the network data, for decomposing and projecting the network graph onto a space of baseline communities;
categorize cliques of nodes in the network graph as the space of baseline communities based at least in part on the statistical model;
infer a category for a received potential person of interest by determining a node corresponding to the received potential person of interest and associating a clique from the categorized cliques of nodes to the node corresponding to the received potential person of interest, and wherein the inferred category for the potential person of interest identifies the potential person of interest as suspicious;
and
render, using the display, the inferred category for the received person of interest.

4 more elements

Dependencies are inferred from the claim text.

Analytic frameworks for persons of interest

Life of this patent

Analytic frameworks for persons of interest

Life of this patent

Abstract

Claims20