System and method for modeling relationships between entities
First Claim
1. A method comprising:
- identifying, using a computing device, a first real world entity (RWE) and a second RWE having at least one relationship, such that the at least one relationship is identified by analyzing social data, spatial data, temporal data and logical data available to a network and associated with a plurality of RWEs;
identifying, using the computing device, a first information object (IO) associated with the first RWE that defines a state of the first RWE, and a second information object associated with the first RWE that defines a state of a second RWE; and
identifying, using the computing device, a third information object associated with the second RWE that defines a state of the second RWE, and a fourth information object associated with the second RWE that defines a state of the first RWE, such that;
in response to a request for state information about the first RWE from a perspective of the second RWE, analyzing, using the computing device, the fourth information object,in response to a request for state information about the second RWE from a perspective of the first RWE, analyzing, using the computing device, the second information object,in response to a request for state information about the first RWE from a perspective of the first RWE, analyzing, using the computing device, the first information object, andin response to a request for state information about the second RWE from a perspective of the second RWE, analyzing, using the computing device, the third information object.
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Abstract
The disclosure describes systems and methods for modeling relationships between entities on a network using data collected from a plurality of communication channels including social data, spatial data, temporal data and logical data within a W4 Network. The W4 Network personalizes and automates sorting, filtering and processing of W4COMN communications delivered or requested to be delivered using personalized value-based ranking and encoding of data, which is modeled from the point-of-view (POV) of any specific user, topic or node in the W4 Distributed graph. POV modeling supplies comparative value services to users which entails individuated data models to be aggregated and used in customization and personalization forecasting for each user and their associated data management needs.
410 Citations
23 Claims
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1. A method comprising:
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identifying, using a computing device, a first real world entity (RWE) and a second RWE having at least one relationship, such that the at least one relationship is identified by analyzing social data, spatial data, temporal data and logical data available to a network and associated with a plurality of RWEs; identifying, using the computing device, a first information object (IO) associated with the first RWE that defines a state of the first RWE, and a second information object associated with the first RWE that defines a state of a second RWE; and identifying, using the computing device, a third information object associated with the second RWE that defines a state of the second RWE, and a fourth information object associated with the second RWE that defines a state of the first RWE, such that; in response to a request for state information about the first RWE from a perspective of the second RWE, analyzing, using the computing device, the fourth information object, in response to a request for state information about the second RWE from a perspective of the first RWE, analyzing, using the computing device, the second information object, in response to a request for state information about the first RWE from a perspective of the first RWE, analyzing, using the computing device, the first information object, and in response to a request for state information about the second RWE from a perspective of the second RWE, analyzing, using the computing device, the third information object. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A computer-readable storage medium for tangibly storing thereon computer readable instructions for a method comprising:
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identifying, using a computing device, a first real world entity (RWE) and a second RWE having at least one relationship, such that the at least one relationship is identified by analyzing social data, spatial data, temporal data and logical data, available to a network, associated with a plurality of RWEs; identifying, using the computing device, a first information object (IO) associated with the first RWE that defines a state of the first RWE, and a second information object associated with the first RWE that defines a state of a second RWE; and identifying, using the computing device, a third information object associated with the second RWE that defines a state of the second RWE, and a fourth information object associated with the second RWE that defines a state of the first RWE, such that; in response to a request for state information about the first RWE from a perspective of the second RWE, analyzing, using the computing device, the fourth information object, in response to a request for state information about the second RWE from a perspective of the first RWE, analyzing, using the computing device, the second information object, in response to a request for state information about the first RWE from a perspective of the first RWE, analyzing, using the computing device, the first information object, and in response to a request for state information about the second RWE from a perspective of the second RWE, analyzing, using the computing device, the third information object; and generating, using the computing device, an entity information object for each analysis of the information objects with respect to the first RWE state information and the second RWE state information, and such that each generated entity information object defines a point-of-view (POV) relationship between each of the information objects associated with the first RWE and the second RWE. - View Dependent Claims (12, 13, 14, 15, 16)
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17. A computing device comprising:
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a processor; at least one communication channel connected to the processor, the at least one communication channel further connected to a plurality of computing devices transmitting a plurality of information objects (IOs) over the at least one communication channel to the processor, the plurality of IOs comprising social data, spatial data, temporal data and logical data relating to a plurality of real-world entities (RWEs); a storage medium for tangibly storing thereon program logic for execution by the processor, the program logic comprising; correlation logic executed by the processor for correlating associations between the plurality of IOs and the plurality of RWEs based upon analysis of social data, spatial data, temporal data and logical data associated with the plurality of IOs and the plurality of RWEs; and relationship identification logic executed by the processor for identifing POV relationships between the RWEs based upon the correlations made by the correlation logic. - View Dependent Claims (18, 19, 20, 21, 22)
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23. A method comprising:
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retrieving, via the network, social data, spatial data, temporal data and logical data available to the network associated with the a plurality of real world entities (RWEs); graphing, using a computing device, the social data, spatial data, temporal data and logical data to identify a plurality of relationships between the plurality of RWEs; identifying, using the computing device, a first subset of the plurality of relationships, such that each of the first subset of the plurality of relationships is a point of view relationship between one of the plurality of RWEs and one other of the plurality of RWEs, such that the respective relationship was explicitly defined by the one of the plurality of RWEs; identifying, using the computing device, a second subset of the plurality of relationships, such that each of the second subset of the plurality of relationships is a point of view relationship between one of the plurality of RWEs and one other of the plurality of RWEs, such that the respective relationship is identified by estimating a respective probability that the one of the plurality of RWEs and the one other of the plurality of RWEs have the respective relationship using the social data, spatial data, temporal data and logical data; and storing, using the computing device, the first subset of the plurality of relationships and the second subset of the plurality of relationships on a computer readable medium.
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Specification