Abstract: The present disclosure describes a continuous anomaly detection method and system based on multi-dimensional behavior modeling and heterogeneous information analysis. A method includes collecting data, processing and categorizing a plurality of events, continuously clustering the plurality of events, continuously model building for behavior and information analysis, analyzing behavior and information based on a holistic model, detecting anomalies in the data, displaying an animated and interactive visualization of a behavioral model, and displaying an animated and interactive visualization of the detected anomalies.

Abstract: The present disclosure describes a continuous anomaly detection method and system based on multi-dimensional behavior modeling and heterogeneous information analysis. A method includes collecting data, processing and categorizing a plurality of events, continuously clustering the plurality of events, continuously model building for behavior and information analysis, analyzing behavior and information based on a holistic model, detecting anomalies in the data, displaying an animated and interactive visualization of a behavioral model, and displaying an animated and interactive visualization of the detected anomalies.

Abstract: A method to enable improved analysis and use of sociological data, the method comprising identifying causal relationships between a plurality of documents, identifying a plurality of characteristics of a communication, including a modality used, actors involved, proximate events of relevance, and enabling a user to query based on available characteristics.

Abstract: A method to enable improved analysis and use of sociological data, the method comprising identifying causal relationships between a plurality of documents, identifying a plurality of characteristics of a communication, including a modality used, actors involved, proximate events of relevance, and enabling a user to query based on available characteristics.

Abstract: A method to enable improved analysis and use of sociological data, the method comprising identifying causal relationships between a plurality of documents, identifying a plurality of characteristics of a communication, including a modality used, actors involved, proximate events of relevance, and enabling a user to query based on all of the characteristics available.

Abstract: A method of organizing information is disclosed. The method comprises providing a visualization of actor communications in the context of one or more discussion, a discussion including at least one actor and at least one documented communication.

Abstract: This patent describes a method and apparatus to automatically and accurately winnow down arbitrarily large amounts of electronic information created by a particular population of actors to only those subsets of particular interest by having a causal relationship, even when retrieved documents containing this information do not individually satisfy the search criteria used. An actor in this context is defined as any entity, single or aggregate, capable of creating, distributing, modifying, or receiving digital information. Once identified, this subset of information may, for example, be processed, analyzed, redacted, or destroyed, depending on the context of the system's use.