Abstract: A method and system for scoring and ranking a plurality of component links in a social technical system having a plurality of components representing people and objects are provided. In one aspect, a degree of consistency relative to two or more people working on one or more objects and dependencies between the objects is determined to derive scores for the component links. The method and system identifies gaps in the link and determines the impact of filling the gaps. In another aspect, component links may be ranked and scores aggregated to provide system level quantifications.

Abstract: A method and system constructs a socio-technical network representing design and development processes. In one aspect, a network of inter-personal interactions comprising at least a plurality of nodes representing actors in design and development process is established; an artifacts network comprising at least a plurality of nodes representing a plurality of heterogeneous artifact types is established; one or more relationships between the nodes in the network of inter-personal interactions are determined; one or more relationships between the nodes of the artifacts network are determined; and one or more relationships between the nodes in the network of inter-personal interactions and the nodes of the artifacts network are determined.

Abstract: A computer implemented method of constructing a social network, the method including constructing the social network from a plurality of disparate, heterogenous data sources, wherein at least one of the plurality of disparate, heterogenous data sources includes a user generated data source; identifying a plurality of nodes and linkages; determining attributes of the nodes and linkages based on a plurality of disparate, heterogenous data sources, wherein the plurality of disparate, heterogenous data sources includes a combination of the user generated data source and at least one non-user generated source, wherein the attributes include at least one of a deterministic attribute, a probabilistic attribute, and a dynamic attribute; populating a mathemetical decision-making model based on the plurality of nodes and linkages, and the determined attributes of the plurality of nodes and linkages; determining attributes of the nodes and links at a second point in time; re-populating the mathematical decision-making m

Abstract: A method and system constructs a socio-technical network representing design and development processes. In one aspect, a network of inter-personal interactions comprising at least a plurality of nodes representing actors in design and development process is established; an artifacts network comprising at least a plurality of nodes representing a plurality of heterogeneous artifact types is established; one or more relationships between the nodes in the network of inter-personal interactions are determined; one or more relationships between the nodes of the artifacts network are determined; and one or more relationships between the nodes in the network of inter-personal interactions and the nodes of the artifacts network are determined.

Abstract: A method and system for scoring and ranking a plurality of component links in a social technical system having a plurality of components representing people and objects are provided. In one aspect, a degree of consistency relative to two or more people working on one or more objects and dependencies between the objects is determined to derive scores for the component links. The method and system identifies gaps in the link and determines the impact of filling the gaps. In another aspect, component links may be ranked and scores aggregated to provide system level quantifications.

Abstract: A computer-implement method and the associated system of computing resources provides an automated work force management capability that optimizes work assignments for individual workers using work force management techniques in combination with social networking analysis (SNA). The work force management attributes are enhanced using SNA. Bipartite graphing processes are used to match the socially enhance worker attributes with the work requirements. By combining the social networking information with the work force management attributes, work assignments are optimized. This optimization exploits historical social interactions between workers and combines their influence with the skills and other work force attributes of each worker required for job performance.

Abstract: Healthcare fraud detection is accomplished by mining social relationships and analyzing their patterns based on network data structures. Social networks are constructed which depict referral patterns (from health insurance claim information) and associations (from publicly available connection data) to analyze referral patterns and detect possible fraud, abuse and unnecessary overuse. The fraud and abuse management system supports the various aspects of fraud investigation and management, including prevention, investigation, detection and settlement. Using a unique combination of data mining capabilities and graphical reporting tools, the system can identify potentially fraudulent and abusive behavior before a claim is paid or, retrospectively, analyze providers' past behaviors to flag suspicious patterns.

Abstract: A system and method (and method of deploying computing infrastructure) of a system, method, and framework for measuring the impact of a collaborative activity, or set of activities, based on social networks and attributes observed before and after the collaborative activity.

Abstract: A system and method (and method of deploying computing infrastructure) of constructing a social network, which includes constructing the social network from a plurality of disparate, heterogeneous data sources, in which at least one of the data sources includes a user generated data source. A plurality of nodes and linkages are identified and attributes for the nodes and linkages are determined based on the plurality of disparate, heterogeneous data sources.