Abstract: A method of personalizing a social networking profile page within a computer network, the method comprising receiving user preferences from an owner of a social network profile, receiving data describing a viewer of the owner's social networking profile, and differentiating artifacts available on the owner's social networking profile based on the user preferences and data describing a viewer of the owner's social networking profile.

Abstract: Minimizing data security risks may be provided. A number and type of confidential data in a computing environment may be determined to generate a metric for the type of confidential data in the computing environment. The metric of the type of confidential data may be compared to a predetermined metric for the type. Responsive to determining the metric for the type of confidential data exceeding a predetermined metric for the type, an action may be performed to prevent more entries of the type of confidential data in the computing environment.

Abstract: A method of personalizing a social networking profile page within a computer network, the method comprising receiving user preferences from an owner of a social network profile, receiving data describing a viewer of the owner's social networking profile, and differentiating artifacts available on the owner's social networking profile based on the user preferences and data describing a viewer of the owner's social networking profile.

Abstract: A computer network comprising a number of user devices and a preferences control module, in which the preferences control module receives user preferences from an owner of a social network profile, receives data describing a viewer of the owner's social networking profile, and distinguishes a number of artifacts on the owner's social networking profile from other artifacts on the profile based on the user preferences and data describing a viewer of the owner's social networking profile. A method of personalizing a social networking profile page within a computer network, the method comprising receiving user preferences from an owner of a social network profile, receiving data describing a viewer of the owner's social networking profile, and differentiating artifacts available on the owner's social networking profile based on the user preferences and data describing a viewer of the owner's social networking profile.

Abstract: A method of personalizing a social networking profile page within a computer network, the method comprising receiving user preferences from an owner of a social network profile, receiving data describing a viewer of the owner's social networking profile, and differentiating artifacts available on the owner's social networking profile based on the user preferences and data describing a viewer of the owner's social networking profile.

Abstract: Minimizing data security risks may be provided. A number and type of confidential data in a computing environment may be determined to generate a metric for the type of confidential data in the computing environment. The metric of the type of confidential data may be compared to a predetermined metric for the type. Responsive to determining the metric for the type of confidential data exceeding a predetermined metric for the type, an action may be performed to prevent more entries of the type of confidential data in the computing environment.

Abstract: Minimizing data security risks may be provided. A number and type of confidential data in a computing environment may be determined to generate a metric for the type of confidential data in the computing environment. The metric of the type of confidential data may be compared to a predetermined metric for the type. Responsive to determining the metric for the type of confidential data exceeding a predetermined metric for the type, an action may be performed to prevent more entries of the type of confidential data in the computing environment.

Abstract: Embodiments of the present invention address deficiencies of the art in respect to the visual display of tags and provide a method, system and computer program product for contributor characteristic based tag clouds. In an embodiment of the invention, a tag cloud generation method can include loading tags for resources in a social bookmarking system, determining a personal characteristic for each of the end users applying the tags to the resources, and rendering a tag cloud for the tags based upon the personal characteristic of the end users and not based upon the frequency of use of the tags alone.

Abstract: Embodiments of the present invention address deficiencies of the art in respect to the visual display of tags and provide a method, system and computer program product for contributor characteristic based tag clouds. In an embodiment of the invention, a tag cloud generation method can include loading tags for resources in a social bookmarking system, determining a personal characteristic for each of the end users applying the tags to the resources, and rendering a tag cloud for the tags based upon the personal characteristic of the end users and not based upon the frequency of use of the tags alone.

Abstract: Minimizing data security risks may be provided. A number and type of confidential data in a computing environment may be determined to generate a metric for the type of confidential data in the computing environment. The metric of the type of confidential data may be compared to a predetermined metric for the type. Responsive to determining the metric for the type of confidential data exceeding a predetermined metric for the type, an action may be performed to prevent more entries of the type of confidential data in the computing environment.

Abstract: Minimizing data security risks may be provided. A number and type of confidential data in a computing environment may be determined to generate a metric for the type of confidential data in the computing environment. The metric of the type of confidential data may be compared to a predetermined metric for the type. Responsive to determining the metric for the type of confidential data exceeding a predetermined metric for the type, an action may be performed to prevent more entries of the type of confidential data in the computing environment.

Abstract: Minimizing data security risks may be provided. A number and type of confidential data in a computing environment may be determined to generate a metric for the type of confidential data in the computing environment. The metric of the type of confidential data may be compared to a predetermined metric for the type. Responsive to determining the metric for the type of confidential data exceeding a predetermined metric for the type, an action may be performed to prevent more entries of the type of confidential data in the computing environment.

Abstract: Various embodiments provide for inheriting social network information from a first user to one or more other users. In various examples, rule-based criteria (e.g., origination, update frequency, access, event occurrence and/or proficiency) are utilized for allowing a first user to bestow (e.g., transfer/share/delegate) social network information (e.g., authorization, access, contact(s), document(s), video(s), file(s), image(s), post(s), blog(s), content, rule(s) and/or control) to a second user.

Abstract: Minimizing data security risks may be provided. A number and type of confidential data in a computing environment may be determined to generate a metric for the type of confidential data in the computing environment. The metric of the type of confidential data may be compared to a predetermined metric for the type. Responsive to determining the metric for the type of confidential data exceeding a predetermined metric for the type, an action may be performed to prevent more entries of the type of confidential data in the computing environment.

Abstract: Minimizing data security risks may be provided. A number and type of confidential data in a computing environment may be determined to generate a metric for the type of confidential data in the computing environment. The metric of the type of confidential data may be compared to a predetermined metric for the type. Responsive to determining the metric for the type of confidential data exceeding a predetermined metric for the type, an action may be performed to prevent more entries of the type of confidential data in the computing environment.

Abstract: A method, system and apparatus for utilizing statistics in a human-to-human collaborative tool is provided. A method for utilizing group statistics for a group participating in a collaborative session can include collecting group statistics including a percentage of the participants in the set having a particular availability status for a grouped set of participants designated to participate in a collaborative session provided by a human-to-human collaborative tool executing in a computer system, generating a display of the percentage of the participants in the set having the particular availability status, and rendering the generated display of the percentage of the participants in the set having the particular availability status in a user interface in association with a hierarchical listing of participants in the collaborative session.

Abstract: Various embodiments provide for inheriting social network information from a first user to one or more other users. In various examples, rule-based criteria (e.g., origination, update frequency, access, event occurrence and/or proficiency) are utilized for allowing a first user to bestow (e.g., transfer/share/delegate) social network information (e.g., authorization, access, contact(s), document(s), video(s), file(s), image(s), post(s), blog(s), content, rule(s) and/or control) to a second user.

Abstract: A method of personalizing a social networking profile page within a computer network, the method comprising receiving user preferences from an owner of a social network profile, receiving data describing a viewer of the owner's social networking profile, and differentiating artifacts available on the owner's social networking profile based on the user preferences and data describing a viewer of the owner's social networking profile.

Abstract: A computer network comprising a number of user devices and a preferences control module, in which the preferences control module receives user preferences from an owner of a social network profile, receives data describing a viewer of the owner's social networking profile, and distinguishes a number of artifacts on the owner's social networking profile from other artifacts on the profile based on the user preferences and data describing a viewer of the owner's social networking profile. A method of personalizing a social networking profile page within a computer network, the method comprising receiving user preferences from an owner of a social network profile, receiving data describing a viewer of the owner's social networking profile, and differentiating artifacts available on the owner's social networking profile based on the user preferences and data describing a viewer of the owner's social networking profile.

Abstract: Electronic meeting relevance alerts that include receiving, by a processing device, metadata related to an electronic meeting, comparing, by the processing device, the metadata with preferences of an attendee invited to the electronic meeting to determine a relevancy of the metadata to the attendee, and sending, by the processing device, a notification to the attendee responsive to the relevancy of the metadata to the attendee.