Coalition network identification using charges assigned to particles
One or more computing devices, systems, and/or methods are provided. Event information associated with a plurality of events may be identified. The plurality of events may be associated with first entities corresponding to a first entity type and second entities associated with a second entity type. A first network profile associated with the first entities and the second entities may be generated based upon the event information. An arrangement of particles corresponding to the first entities and the second entities may be generated. Charges associated with the particles may be determined based upon the first network profile. The particles may be rearranged to a second arrangement of particles based upon the charges. One or more clusters of particles in the second arrangement of particles may be identified. One or more coalition networks associated with fraudulent activity may be identified based upon the one or more clusters of particles.
1. A method, comprising:
identifying a first plurality of sets of event information associated with a first plurality of events, wherein:
the first plurality of events is associated with a first plurality of entities corresponding to a first entity type and a second plurality of entities corresponding to a second entity type;
a first set of event information of the first plurality of sets of event information is associated with a first event of the first plurality of events; and
the first set of event information is indicative of:
a first entity, of the first plurality of entities, associated with the first event; and
a second entity, of the second plurality of entities, associated with the first event;
generating, based upon the first plurality of sets of event information, a first network profile associated with the first plurality of entities and the second plurality of entities, wherein the first network profile is indicative of one or more first sets of event metrics associated with the first entity and one or more entities comprising the second entity, wherein:
the second plurality of entities comprises the one or more entities; and
a first set of event metrics of the one or more first sets of event metrics corresponds to a measure of events associated with the first entity and the second entity;
generating an arrangement of a plurality of particles in a space, wherein a first particle of the plurality of particles corresponds to the first entity of the first plurality of entities and a second particle of the plurality of particles corresponds to the second entity of the second plurality of entities;
determining, based upon the first network profile, a plurality of charges associated with the plurality of particles, wherein a first charge of the plurality of charges is assigned to the first particle of the plurality of particles and a second charge of the plurality of charges is assigned to the second particle of the plurality of particles, wherein the plurality of charges comprises:
a plurality of repulsive charges, assigned to particles of the plurality of particles, comprising the first charge and the second charge; and
a plurality of attractive charges associated with pairs of particles of the plurality of particles;
rearranging the plurality of particles based upon the plurality of charges to generate a second arrangement of the plurality of particles in the space;
identifying one or more first clusters of particles in the second arrangement of the plurality of particles in the space; and
identifying a coalition network associated with fraudulent activity based upon a first cluster of particles of the one or more first clusters of particles.
2. The method of claim 1 , wherein:
the first charge is a first repulsive charge associated with a repulsive force between the first particle and particles, of the plurality of particles, different than the first particle; and
the determining the plurality of charges comprises determining the first charge based upon the one or more first sets of event metrics associated with the first entity.
3. The method of claim 1 , wherein:
the first charge is a first attractive charge associated with an attractive force between the first particle and the second particle; and
the determining the plurality of charges comprises determining the first charge based upon the first set of event metrics associated with the first entity and the second entity.
4. The method of claim 1 , wherein:
the first charge is a first repulsive charge associated with a repulsive force between the first particle and first particles, of the plurality of particles, different than the first particle;
the second charge is a second repulsive charge associated with a repulsive force between the second particle and second particles, of the plurality of particles, different than the second particle;
the plurality of attractive charges comprises a third charge assigned to a pair of particles comprising the first particle and the second particle;
the third charge is an attractive charge associated with an attractive force between the first particle and the second particle; and
the third charge is based upon the first set of event metrics associated with the first entity and the second entity.
5. The method of claim 1 , wherein:
the rearranging the plurality of particles comprises performing a force simulation based upon the plurality of charges.
6. The method of claim 5 , wherein:
the performing the force simulation is based upon a resistance corresponding at least one of a drag or a friction in the space.
7. The method of claim 5 , wherein:
the performing the force simulation is based upon an initial velocity of particles of the plurality of particles.
8. The method of claim 1 , wherein:
the coalition network comprises a first set of entities of the first plurality of entities and a second set of entities of the second plurality of entities; and
the identifying the coalition network is performed based upon a determination the first cluster of particles comprises particles corresponding to entities comprising the first set of entities and the second set of entities.
9. The method of claim 8 , wherein a third entity of the first set of entities is associated with a first client device, the method comprising:
receiving a first request for content associated with the first client device; and
not transmitting a content item, associated with the first request for content, to the first client device based upon a determination that the third entity is associated with the coalition network.
10. The method of claim 8 , wherein a third entity of the second set of entities is associated with a first internet resource, the method comprising:
receiving a first request associated with a first client device, wherein the first request corresponds to a request for content to be presented via the first internet resource; and
not transmitting a content item, associated with the first request for content, to the first client device based upon a determination that the third entity is associated with the coalition network.
11. The method of claim 8 , wherein a third entity of the first set of entities is associated with a first client device and a fourth entity of the second set of entities is associated with a first internet resource, the method comprising:
receiving a first request associated with the first client device, wherein the first request corresponds to a request for content to be presented via the first internet resource; and
not transmitting a content item, associated with the first request for content, to the first client device based upon a determination that the third entity and the fourth entity are associated with the coalition network.
12. The method of claim 1 , wherein:
the identifying the one or more first clusters of particles comprises identifying the first cluster of particles based upon a determination that a first density of particles corresponding to the first cluster of particles exceeds a first threshold density.
13. The method of claim 1 , wherein:
an event of the first plurality of events corresponds to at least one of:
a presentation of a first content item via a first client device; or
a selection of the first content item via the first client device.
14. The method of claim 1 , wherein:
an entity of the first plurality of entities is associated with a client device; and
an entity of the second plurality of entities is associated with an internet resource.
15. The method of claim 1 , wherein:
the first set of event metrics is indicative of at least one of:
a rate at which events associated with the first entity and the second entity occur; or
a quantity of events associated with the first entity and the second entity.
16. A computing device comprising:
a processor; and
memory comprising processor-executable instructions that when executed by the processor cause performance of operations, the operations comprising:
identifying a first plurality of sets of event information associated with a first plurality of events, wherein:
the first plurality of events is associated with a first plurality of entities corresponding to a first entity type and a second plurality of entities corresponding to a second entity type;
a first set of event information of the first plurality of sets of event information is associated with a first event of the first plurality of events; and
the first set of event information is indicative of:
a first entity, of the first plurality of entities, associated with the first event; and
a second entity, of the second plurality of entities, associated with the first event;
generating, based upon the first plurality of sets of event information, a first network profile associated with the first plurality of entities and the second plurality of entities, wherein the first network profile is indicative of one or more first sets of event metrics associated with the first entity and one or more entities comprising the second entity, wherein:
the second plurality of entities comprises the one or more entities; and
a first set of event metrics of the one or more first sets of event metrics corresponds to a measure of events associated with the first entity and the second entity;
generating an arrangement of a plurality of particles in a space, wherein a first particle of the plurality of particles corresponds to the first entity of the first plurality of entities and a second particle of the plurality of particles corresponds to the second entity of the second plurality of entities;
determining, based upon the first network profile, a plurality of charges associated with the plurality of particles, wherein a first charge of the plurality of charges is assigned to the first particle of the plurality of particles and a second charge of the plurality of charges is assigned to the second particle of the plurality of particles, wherein the plurality of charges comprises:
a plurality of repulsive charges, assigned to particles of the plurality of particles, comprising the first charge and the second charge; and
a plurality of attractive charges associated with pairs of particles of the plurality of particles;
rearranging the plurality of particles based upon the plurality of charges to generate a second arrangement of the plurality of particles in the space;
identifying one or more first clusters of particles in the second arrangement of the plurality of particles in the space; and
identifying a coalition network associated with fraudulent activity based upon a first cluster of particles of the one or more first clusters of particles.
17. The computing device of claim 16 , wherein:
the first charge is a first repulsive charge associated with a repulsive force between the first particle and first particles, of the plurality of particles, different than the first particle;
the second charge is a second repulsive charge associated with a repulsive force between the second particle and second particles, of the plurality of particles, different than the second particle;
the plurality of attractive charges comprises a third charge assigned to a pair of particles comprising the first particle and the second particle;
the third charge is an attractive charge associated with an attractive force between the first particle and the second particle; and
the third charge is based upon the first set of event metrics associated with the first entity and the second entity.
18. The computing device of claim 16 , wherein:
the rearranging the plurality of particles comprises performing a force simulation based upon the plurality of charges.
19. The computing device of claim 16 , wherein:
the coalition network comprises a first set of entities of the first plurality of entities and a second set of entities of the second plurality of entities; and
the identifying the coalition network is performed based upon a determination the first cluster of particles comprises particles corresponding to entities comprising the first set of entities and the second set of entities.
20. A non-transitory machine-readable medium having stored thereon processor-executable instructions that when executed cause performance of operations, the operations comprising:
identifying a first plurality of sets of event information associated with a first plurality of events, wherein:
the first plurality of events is associated with a first plurality of entities corresponding to a first entity type and a second plurality of entities corresponding to a second entity type;
a first set of event information of the first plurality of sets of event information is associated with a first event of the first plurality of events; and
the first set of event information is indicative of:
a first entity, of the first plurality of entities, associated with the first event; and
a second entity, of the second plurality of entities, associated with the first event;
generating, based upon the first plurality of sets of event information, a first network profile associated with the first plurality of entities and the second plurality of entities, wherein the first network profile is indicative of one or more first sets of event metrics associated with the first entity and one or more entities comprising the second entity, wherein:
the second plurality of entities comprises the one or more entities; and
a first set of event metrics of the one or more first sets of event metrics corresponds to a measure of events associated with the first entity and the second entity;
generating an arrangement of a plurality of particles in a space, wherein a first particle of the plurality of particles corresponds to the first entity of the first plurality of entities and a second particle of the plurality of particles corresponds to the second entity of the second plurality of entities;
determining, based upon the first network profile, a plurality of charges associated with the plurality of particles, wherein a first charge of the plurality of charges is assigned to the first particle of the plurality of particles and a second charge of the plurality of charges is assigned to the second particle of the plurality of particles, wherein the plurality of charges comprises:
a plurality of repulsive charges, assigned to particles of the plurality of particles, comprising the first charge and the second charge; and
a plurality of attractive charges associated with pairs of particles of the plurality of particles;
rearranging the plurality of particles based upon the plurality of charges to generate a second arrangement of the plurality of particles in the space;
identifying one or more first clusters of particles in the second arrangement of the plurality of particles in the space; and
generating a graphical representation of the second arrangement of the plurality of particles, wherein the graphical representation comprises indications of the one or more first clusters of particles.