Inferring influence and authority
AssigneeInternational Business Machines Corporation
InventorsAurelie C. Lozano, Vikas Sindhwani
Life of this patent
Estimating the term…
Abstract
A computer model finds an originating community member or members, for instance amongst bloggers, scientific researchers, or phenomena in phenomenological systems. In one embodiment, non-explicit causal relationships may be inferred from comparing blogs as a whole. Influence relationships are derived from a weighted, directed graph output and sources of influence are ranked. This implementation is useful for a variety of applications.
Claims23
A computer method comprising carrying out operations on at least one data processing device, the operations comprising:
- interfacing with a plurality of records of content originating from human community members;
- inferring at least one non-explicit causal relationship among at least two sets of records from the plurality of records, based on temporal sequence of appearance of content, the inferring including:
- for the at least two sets of records, calculating an adjacency matrix by using a multivariate granger causal modeling method which uses a matrix norm of a matrix whose elements include regression coefficients corresponding to variables which represent the at least two sets of records;
- and
- identifying, by using the calculated adjacency matrix, influence relationships among at least two originating community members, each community member associated with a set of records from the at least two sets of records.
A computer program product for identifying influence, the computer program product comprising:
- a storage medium excluding only a propagating signal, the storage medium readable by a processing circuit and storing instructions to be run by the processing circuit for performing a method comprising:
- interfacing with a plurality of records of content originating from human community members;
- inferring at least one non-explicit causal relationship among at least two sets of records from the plurality of records, based on temporal sequence of appearance of content, the inferring including:
- for the at least two sets of records, calculating an adjacency matrix by using a multivariate granger causal modeling method which uses a matrix norm of a matrix whose elements include regression coefficients corresponding to variables which represent the at least two sets of records;
- and
- identifying, by using the calculated adjacency matrix, influence relationships among at least two originating community members, each community member associated with a set of records from the at least two sets of records.
A system comprising:
- at least one medium for storing data;
- at least one interface for gathering data and supplying outputs;
- at least one processing device for carrying out operations, the operations comprising:
- interfacing with a plurality of records of content originating from human community members;
- inferring at least one non-explicit causal relationship among at least two sets of records from the plurality of records, based on temporal sequence of appearance of content, the inferring including:
- for the at least two sets of records, calculating an adjacency matrix by using a multivariate granger causal modeling method which uses a matrix norm of a matrix whose elements include regression coefficients corresponding to variables which represent the at least two sets of records;
- and
- identifying, by using the calculated adjacency matrix, influence relationships among at least two originating community members, each community member associated with a set of records from the at least two sets of records.
Dependencies are inferred from the claim text.