Abstract: A method to use dynamically prioritized email communications to establish and analyze organization social network maps includes selecting a dynamically prioritized email dataset based on network boundaries and contextual framework, establishing a one-way trusted relationship score between an email recipient and sender, establishing a one-way trusted relationship score between an email sender and recipient, establishing a two-way trusted relationship score between two communicating entities, establishing an atomic unit of entities based on a decreasing order of at least one of the one-way trusted relationship score and the two-way trusted relationship score, and establishing a social network based on arranging atomic units and entities based on one or more of an email prioritization score, a trusted relationship score, and an email productivity and collaboration metric, wherein the entities are email senders and email recipients.

Abstract: A system and method for managing electronic communications more effectively utilizes electronic communications. The method assigns a prioritization score and category to each electronic communication so that a user can more effectively manage the communications. The user interacts with a graphical user interface to effectively manage electronic communications. The system arranges and displays the electronic communications according to prioritization scores and categories, and includes interactive modules to override a system assigned prioritization scores and assign any score or category the user selects. The method also measures productivity of users as a function of at least three different metrics, a decision-making metric; a communication metric; and a processing metric, and takes into account prioritization scores and the amount of time it takes users to effectively utilize the electronic communications.

Abstract: A method and system that dynamically ranks electronic messages based on their situational and inherent dimensions, which are judged by a set of filters. These filters evaluate the different elemental metadata constituting a message and produce a priority value based on filters relevance and importance. The system iterates through queued messages, examine the structured content for expected attributes, statistically analyze unstructured content, apply dynamically weighted rules and policies to deliver a priority ranking, and then display the message and its vital attributes in accordance with the priority ranking. The system also adaptive learns and adjusts its weighted rules and policies to permit priority ranking to change on real-time or interval-based(may be user-defined) schedule. The system includes a GUI for increasing reading and processing efficiency. The GUI performs supervised and unsupervised learning from the user's behaviors, and displays messages in accordance with their priority classification.

Abstract: A method to use dynamically prioritized email communications to establish and analyze organization social network maps includes selecting a dynamically prioritized email dataset based on network boundaries and contextual framework, establishing a one-way trusted relationship score between an email recipient and sender, establishing a one-way trusted relationship score between an email sender and recipient, establishing a two-way trusted relationship score between two communicating entities, establishing an atomic unit of entities based on a decreasing order of at least one of the one-way trusted relationship score and the two-way trusted relationship score, and establishing a social network based on arranging atomic units and entities based on one or more of an email prioritization score, a trusted relationship score, and an email productivity and collaboration metric, wherein the entities are email senders and email recipients.

Abstract: A method and system that dynamically ranks electronic messages based on their situational and inherent dimensions, which are judged by a set of filters. These filters evaluate the different elemental metadata constituting a message and produce a priority value based on filters relevance and importance. The system iterates through queued messages, examine the structured content for expected attributes, statistically analyze unstructured content, apply dynamically weighted rules and policies to deliver a priority ranking, and then display the message and its vital attributes in accordance with the priority ranking. The system also adaptive learns and adjusts its weighted rules and policies to permit priority ranking to change on real-time or interval-based (may be user-defined) schedule. The system includes a GUI for increasing reading and processing efficiency.

Abstract: A method to use dynamically prioritized email communications to establish and analyze organization social network maps includes selecting a dynamically prioritized email dataset based on network boundaries and contextual framework, establishing a one-way trusted relationship score between an email recipient and sender, establishing a one-way trusted relationship score between an email sender and recipient, establishing a two-way trusted relationship score between two communicating entities, establishing an atomic unit of entities based on a decreasing order of at least one of the one-way trusted relationship score and the two-way trusted relationship score, and establishing a social network based on arranging atomic units and entities based on one or more of an email prioritization score, a trusted relationship score, and an email productivity and collaboration metric, wherein the entities are email senders and email recipients.