International Business Machines Corporation

Mary Elizabeth Helander

Kate Ehrlich

Mark N Wegman

Kush Raj Varshney

Bonnie Kathryn Ray

Nizar Lethif

Clay Edwin Williams

Murray Robert Cantor

Karthik Sourirajan

Paolina Centonze

Joana Sofia Branquinho Teresa Maria

Emily A Ray

Hemank Lamba

Sunita Chulani

Giuseppe Valetto

Chad Boucher

Laura Wynter

Ching-Yung Lin

Thomas David Erickson

Markus Ettl

Peter C Bahrs

Calvin Bruce Swart

Shubir Kapoor

Kaan Kudsi Katircioglu

Wendy Anne Kellogg

Daniel Patrick Connors

Stuart A Siegel

Catalina M Danis

Sarah C McAllister

Catherine Anne Chess

David S Singer

Sandra L Kearney

Sue Ann Medeiros

Rhonda Rosenbaum

Mondher Ben-Hamida

Mondhar Ben-Hamida

Kaan K Katircloglu

Clarence L Wardell, Iii

Richard C Henderson

Katherine Penchuk

The system, method, and computer program product are disclosed that track the evolution of a network over time through the analysis of media corpora associated with nodes of the network at each time slice. The media corpora may be analyzed to generate word clusters for each time slice that are then compared across time slices to determine how the network has evolved. The evolution may be tracked by determining the similarity of each word cluster of a particular time slice to each word cluster of another time slice. The similarity may be measured by a similarity score for each comparison that may be combined to determine an overall similarity of the network between the two time slices.

Tracking the evolution of topic rankings from contextual data

Methods and systems for determining a time dependent relevancy score of an agent node among an evolving heterogeneous network are described. A processor may expand the heterogeneous network by generating temporal heterogeneous networks representing states of the heterogeneous network at different times. The processor may extract a set of agent nodes from each temporal heterogeneous network and may generate a relationship network based on the extracted agent nodes for each temporal heterogeneous network. The processor may remove the agent node from the temporal heterogeneous network to generate a conditional relationship network excluding the removed agent node. The processor may determine a relevancy score for the agent node based on the corresponding relationship network and the conditional relationship network. Each relevancy score for the agent node may correspond to a temporal heterogeneous network and may indicate an impact of removing the agent node from the corresponding temporal heterogeneous network.

Node relevance determination in an evolving network

A method and system for harvesting collaboration data in accordance with a privacy policy is provided. In one embodiment, the method comprises defining a privacy policy for collaboration data, said privacy policy including a list of fields associated with the collaboration data to be harvested; harvesting the collaboration data associated with the fields specified as allowable under the privacy policy; transforming the collaboration data associated with the fields specified as allowable if said collaboration data can be transformed in accordance with a set of rules defined in the privacy policy; and storing the harvested collaboration data in a database.

Privacy-preserving method for skimming of data from a collaborative infrastructure

Embodiments of the invention provide a method, system and computer program product for carbon management for sourcing and logistics. In one embodiment, the method comprises using a computer for quantifying both a cost and a carbon impact of one or more logistics policies relating to a manufacturing process; and minimizing the cost and carbon impact using a defined equation including a first component representing a transportation cost, and a second component representing a carbon cost. In an embodiment of the invention, the quantifying includes using an analytics engine to quantify the cost and carbon impact. The analytics engine may include a shipment analysis module to calculate an optimal transportation policy, a sourcing analysis module for testing alternate sourcing options, a scenario analysis module to find an optimal order frequency, and a sensitivity analysis module to test the impact of various changes.

Carbon management for sourcing and logistics

There are provided a system, a method and a computer program product for tracking an inventory distribution of a perishable product in a supply chain. The system receives shipment data and point of sale data for the product from every location in the supply chain. The system creates, based on the obtained shipment data and the point of sale data, a network graph that represents a flow of the product in the supply chain. The system identifies an age of unsold inventory of the product at each node of the graph based on the created graph. The system provides a notification to a user at each location that informs the age of the unsold inventory of the product at that location.

Non-instrumented perishable product tracking in a supply chain

A method and structure for pricing a good or service to a customer includes a calculator that executes a pricing model that includes a dimension of a utility of the good or service to the customer.

Method and apparatus for capacity- and value-based pricing model for professional services

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.

Method and system for scoring and ranking a plurality of relationships in components of socio-technical system

A method, framework, and system for providing formalized Information Technology (IT) business decision making, which includes determining a relationship between at least one Information Technology (IT) environmental element and at least one Information Technology (IT) performance metric, and determining a business value based on the at least one Information Technology (IT) environmental element and the at least one Information Technology (IT) performance metric to optimize an Information Technology (IT) business decision based on at least one predetermined business objective. The at least one predetermined business objective is based on a set of system constraints.

Method and apparatus for formalizing information technology (IT) business decision making

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.

Method and system for understanding social organization in a design and development process

A method (and structure) of planning allocation of life cycle resources for a system including a plurality of components whereby the system inherits attributes from its components according to its structural architecture and in terms of an uncertainty of usage in operation.

Method and apparatus for constrained system attribute allocation under uncertain usage profiles

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 model based on the plurality of nodes and linkages, and the determined attributes of the plurality of nodes and linkages at the second point in time.

System and method for constructing a social network from multiple disparate, heterogeneous data sources

Growing community of inventors

North White Plains, NY, United States of America

Mary Elizabeth Helander