Other

Battelle Memorial Institute

Genesys Telecommunications Laboratories, Inc.

Patrick S Mackey

Pak Chung Wong

Yevgeniy Petrovykh

Harlan P Foote

Sergey B Belov

Alex Khodorenko

Vladimir Pimtchenkov

James J Thomas

Kevin P Schneider

Mark A Whiting

Kristin A Cook

Yousu Chen

Arne Stoertenbecker

Zhenyu Huang

Jian Ma

Kenneth A Perrine

A method for prioritizing processing of interactions at a contact center, the method including: identifying an interaction to be prioritized for processing; identifying a person associated with the interaction; identifying an influence level of the person associated with the interaction; and prioritizing the interaction for processing based on the influence level of the person associated with the interaction.

System and method for social message classification based on influence

Data graphing methods, articles of manufacture, and computing devices are described. In one aspect, a method includes accessing a data set, displaying a graphical representation including data of the data set which is arranged according to a first of different hierarchical levels, wherein the first hierarchical level represents the data at a first of a plurality of different resolutions which respectively correspond to respective ones of the hierarchical levels, selecting a portion of the graphical representation wherein the data of the portion is arranged according to the first hierarchical level at the first resolution, modifying the graphical representation by arranging the data of the portion according to a second of the hierarchal levels at a second of the resolutions, and after the modifying, displaying the graphical representation wherein the data of the portion is arranged according to the second hierarchal level at the second resolution.

Data graphing methods, articles of manufacture, and computing devices

Methods and systems for automated decision support in analyzing operation data from a complex network. Embodiments of the present invention utilize these algorithms and techniques not only to characterize the past and present condition of a complex network, but also to predict future conditions to help operators anticipate deteriorating and/or problem situations. In particular, embodiments of the present invention characterize network conditions from operation data using a state estimator. Contingency scenarios can then be generated based on those network conditions. For at least a portion of all of the contingency scenarios, risk indices are determined that describe the potential impact of each of those scenarios. Contingency scenarios with risk indices are presented visually as graphical representations in the context of a visual representation of the complex network. Analysis of the historical risk indices based on the graphical representations can then provide trends that allow for prediction of future network conditions.

Decision support systems and methods for complex networks

Methods for visualizing a graph by automatically drawing elements of the graph as labels are disclosed. In one embodiment, the method comprises receiving node information and edge information from an input device and/or communication interface, constructing a graph layout based at least in part on that information, wherein the edges are automatically drawn as labels, and displaying the graph on a display device according to the graph layout. In some embodiments, the nodes are automatically drawn as labels instead of, or in addition to, the label-edges.

Methods of visualizing graphs

Growing community of inventors

Richland, WA, United States of America

Patrick S Mackey