Context enhanced social network for meeting participants
First Claim
1. A method comprising:
- obtaining data for a plurality of meeting participants at a computing apparatus that is in communication with a user interface and display device associated with each meeting participant;
obtaining a meeting context for a meeting involving the meeting participants;
identifying expert knowledge associated with the meeting context and determining the expert knowledge of each meeting participant with regard to the context;
generating data representing social network relationships between the meeting participants;
calculating degrees of associations between meeting participants based on the expert knowledge of the meeting participants and the social network relationships, wherein calculating the degrees of associations comprises dynamically weighting the social network relationships between the meeting participants with reference to the meeting context to produce a single degree of association quantity between two meeting participants for the meeting context;
generating, for each meeting participant, data that represents single degree of association quantities between the meeting participant and the other meeting participants; and
displaying to each meeting participant the data that represents the single degree of association quantities between a specific meeting participant and the other meeting participants.
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Accused Products
Abstract
Methods, apparatus, and logic are provided to generate a context enhanced social network (CESN) participant list for meeting participants. One method includes obtaining a list of participants and a meeting context and identifying expert knowledge that is required for the context. Degrees of associations between a first participant and the other participants are calculated based on a level of expert knowledge of the participants. The CESN participant list is generated and displayed for the first meeting participant based on the calculated degrees of associations of the other participants. The method can be repeated such that a unique CESN participant list is generated for each meeting participant based on his perspective in relation to the other meeting participants and based on the current context of the meeting. The CESN participant lists may also be dynamically updated when a change in meeting context is detected.
21 Citations
21 Claims
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1. A method comprising:
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obtaining data for a plurality of meeting participants at a computing apparatus that is in communication with a user interface and display device associated with each meeting participant; obtaining a meeting context for a meeting involving the meeting participants; identifying expert knowledge associated with the meeting context and determining the expert knowledge of each meeting participant with regard to the context; generating data representing social network relationships between the meeting participants; calculating degrees of associations between meeting participants based on the expert knowledge of the meeting participants and the social network relationships, wherein calculating the degrees of associations comprises dynamically weighting the social network relationships between the meeting participants with reference to the meeting context to produce a single degree of association quantity between two meeting participants for the meeting context; generating, for each meeting participant, data that represents single degree of association quantities between the meeting participant and the other meeting participants; and displaying to each meeting participant the data that represents the single degree of association quantities between a specific meeting participant and the other meeting participants. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. An apparatus comprising:
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a network interface unit that is configured to enable communication over a network with a user interface and display device associated with each of a plurality of meeting participants; a memory configured to store data for a plurality of meeting participants involved in a meeting; and a data processor configured to; obtain a meeting context for the meeting; identify expert knowledge associated with the meeting context; determine the expert knowledge of each meeting participant with regard to the meeting context; generate data representing social network relationships between the meeting participants; calculate degrees of associations between meeting participants based on the expert knowledge of the meeting participants and the social network relationships, wherein to calculate the degrees of associations, the social network relationships between the meeting participants are dynamically weighted with reference to the meeting context to produce a single degree of association quantity between two meeting participants with respect to the meeting context; and generate, for each meeting participant, data that represents single degree of association quantities between the meeting participant and the other meeting participants. - View Dependent Claims (15, 16, 17)
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18. Logic encoded in one or more tangible media for execution and when executed operable to:
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obtain data for a plurality of meeting participants at a computing apparatus that is in communication with a user interface and display device associated with each meeting participant; obtain a meeting context for a meeting involving the meeting participants; identify expert knowledge associated with the context and determine the expert knowledge of each meeting participant with regard to the context; generate data representing social network relationships between the meeting participants; calculate degrees of associations between meeting participants based on the expert knowledge of the meeting participants and the social network relationships, wherein to calculate the degrees of associations, the social network relationships between the meeting participants are dynamically weighted with reference to the meeting context to produce a single degree of association quantity between two meeting participants with respect to the meeting context; generate, for each meeting participant, data that represents single degree of association quantities between the meeting participant and the other meeting participants; and send data to the user interface and display device for a selected meeting participant that represents single degree of association quantities between the selected meeting participant and the other meeting participants. - View Dependent Claims (19, 20, 21)
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Specification