Abstract: A computer determines a filtering query based on a persistent list of items, wherein the persistent list of items comprises a list of natural language elements, and wherein the filtering query is computer instructions corresponding to the natural language elements. The computer determines whether a server is capable of receiving the filtering query. Based on determining that the server is capable of receiving the filtering query, the computer transmits the filtering query to the server. The computer receives filtered content from the server, wherein the filtered content is based on the filtering query, and the computer displays the filtered content.

Abstract: Mapping and obscuring digital representations of a number of user accounts on a social network map includes identifying a primary user account from a number of user accounts of a social network, determining, based on metadata associated with the user accounts, a relationship for each of the user accounts relative to the primary user account, mapping, based on the relationship for each of the user accounts relative to the primary user account, a digital representation of each of the user accounts to a territory on a social network map, determining, based on the relationship for each of the user accounts relative to the primary user account, an obscurity level for each of the user accounts, and obscuring, based on the obscurity level, the territory associated with the digital representation of each of the user accounts on a social network map from the primary user account.

Abstract: Presenting a reviewer feedback of a document, one aspect, may comprise retrieving a plurality of feedback on a document, each feedback having an associated reviewer who provided the feedback. Social data associated with the reviewer of the feedback may be obtained. A plurality of characteristics associated with the feedback may be identified, at least some of the characteristics identified based on the social data. The characteristics may include at least the associated reviewer's position in an organization hierarchy, the reviewer's expertise, frequency of the feedback, impact of the feedback, and usefulness of the feedback. The plurality of feedback may be prioritized based on the plurality of characteristics, and a list of prioritized feedback may be presented via a user interface.

Abstract: Presenting a reviewer feedback of a document, one aspect, may comprise retrieving a plurality of feedback on a document, each feedback having an associated reviewer who provided the feedback. Social data associated with the reviewer of the feedback may be obtained. A plurality of characteristics associated with the feedback may be identified, at least some of the characteristics identified based on the social data. The characteristics may include at least the associated reviewer's position in an organization hierarchy, the reviewer's expertise, frequency of the feedback, impact of the feedback, and usefulness of the feedback. The plurality of feedback may be prioritized based on the plurality of characteristics, and a list of prioritized feedback may be presented via a user interface.

Abstract: The present disclosure provides for automatically detecting groups of people who may be interested in different types of content (e.g., different presentations, different presentation sections, different presentation styles). Further, the present disclosure provides for automatically providing presentation filters appropriate for each group of people.

Abstract: Mapping and obscuring digital representations of a number of user accounts on a social network map includes identifying a primary user account from a number of user accounts of a social network, determining, based on metadata associated with the user accounts, a relationship for each of the user accounts relative to the primary user account, mapping, based on the relationship for each of the user accounts relative to the primary user account, a digital representation of each of the user accounts to a territory on a social network map, determining, based on the relationship for each of the user accounts relative to the primary user account, an obscurity level for each of the user accounts, and obscuring, based on the obscurity level, the territory associated with the digital representation of each of the user accounts on a social network map from the primary user account.

Abstract: Mapping and obscuring digital representations of a number of user accounts on a social network map includes identifying a primary user account from a number of user accounts of a social network, determining, based on metadata associated with the user accounts, a relationship for each of the user accounts relative to the primary user account, mapping, based on the relationship for each of the user accounts relative to the primary user account, a digital representation of each of the user accounts to a territory on a social network map, determining, based on the relationship for each of the user accounts relative to the primary user account, an obscurity level for each of the user accounts, and obscuring, based on the obscurity level, the territory associated with the digital representation of each of the user accounts on a social network map from the primary user account.

Abstract: A computer determines a filtering query based on a persistent list of items, wherein the persistent list of items comprises a list of natural language elements, and wherein the filtering query is computer instructions corresponding to the natural language elements. The computer determines whether a server is capable of receiving the filtering query. Based on determining that the server is capable of receiving the filtering query, the computer transmits the filtering query to the server. The computer receives filtered content from the server, wherein the filtered content is based on the filtering query, and the computer displays the filtered content.

Abstract: Mapping and obscuring digital representations of a number of user accounts on a social network map includes identifying a primary user account from a number of user accounts of a social network, determining, based on metadata associated with the user accounts, a relationship for each of the user accounts relative to the primary user account, mapping, based on the relationship for each of the user accounts relative to the primary user account, a digital representation of each of the user accounts to a territory on a social network map, determining, based on the relationship for each of the user accounts relative to the primary user account, an obscurity level for each of the user accounts, and obscuring, based on the obscurity level, the territory associated with the digital representation of each of the user accounts on a social network map from the primary user account.

Abstract: Mapping and obscuring digital representations of a number of user accounts on a social network map includes identifying a primary user account from a number of user accounts of a social network, determining, based on metadata associated with the user accounts, a relationship for each of the user accounts relative to the primary user account, mapping, based on the relationship for each of the user accounts relative to the primary user account, a digital representation of each of the user accounts to a territory on a social network map, determining, based on the relationship for each of the user accounts relative to the primary user account, an obscurity level for each of the user accounts, and obscuring, based on the obscurity level, the territory associated with the digital representation of each of the user accounts on a social network map from the primary user account.

Abstract: Mapping and obscuring digital representations of a number of user accounts on a social network map includes identifying a primary user account from a number of user accounts of a social network, determining, based on metadata associated with the user accounts, a relationship for each of the user accounts relative to the primary user account, mapping, based on the relationship for each of the user accounts relative to the primary user account, a digital representation of each of the user accounts to a territory on a social network map, determining, based on the relationship for each of the user accounts relative to the primary user account, an obscurity level for each of the user accounts, and obscuring, based on the obscurity level, the territory associated with the digital representation of each of the user accounts on a social network map from the primary user account.

Abstract: A computer implemented method and system for assessing communications of users on an online social network includes monitoring a plurality of communications of users using electronic devices. Each of the communications correspond to an originating user. Content of the communications is analyzed for uniqueness using a first metric. The first metric including categorizing the content based on uniqueness factors. A uniqueness value of the content of the communications is determined based on the content analysis using the first metric. The communications are analyzed for engagement using a second metric. The second metric includes quantifying the communications based on engagement factors. An engagement value is determined for the communications based on the communications analysis using the second metric. A contribution value is assigned to each of the originating users. The contribution value is based on the uniqueness value and the engagement value of the originating user's communications.

Abstract: The present disclosure provides for automatically detecting groups of people who may be interested in different types of content (e.g., different presentations, different presentation sections, different presentation styles). Further, the present disclosure provides for automatically providing presentation filters appropriate for each group of people.

Abstract: Mapping and obscuring digital representations of a number of user accounts on a social network map includes identifying a primary user account from a number of user accounts of a social network, determining, based on metadata associated with the user accounts, a relationship for each of the user accounts relative to the primary user account, mapping, based on the relationship for each of the user accounts relative to the primary user account, a digital representation of each of the user accounts to a territory on a social network map, determining, based on the relationship for each of the user accounts relative to the primary user account, an obscurity level for each of the user accounts, and obscuring, based on the obscurity level, the territory associated with the digital representation of each of the user accounts on a social network map from the primary user account.

Abstract: Mapping and obscuring digital representations of a number of user accounts on a social network map includes identifying a primary user account from a number of user accounts of a social network, determining, based on metadata associated with the user accounts, a relationship for each of the user accounts relative to the primary user account, mapping, based on the relationship for each of the user accounts relative to the primary user account, a digital representation of each of the user accounts to a territory on a social network map, determining, based on the relationship for each of the user accounts relative to the primary user account, an obscurity level for each of the user accounts, and obscuring, based on the obscurity level, the territory associated with the digital representation of each of the user accounts on a social network map from the primary user account.

Abstract: Presenting a reviewer feedback of a document, one aspect, may comprise retrieving a plurality of feedback on a document, each feedback having an associated reviewer who provided the feedback. Social data associated with the reviewer of the feedback may be obtained. A plurality of characteristics associated with the feedback may be identified, at least some of the characteristics identified based on the social data. The characteristics may include at least the associated reviewer's position in an organization hierarchy, the reviewer's expertise, frequency of the feedback, impact of the feedback, and usefulness of the feedback. The plurality of feedback may be prioritized based on the plurality of characteristics, and a list of prioritized feedback may be presented via a user interface.

Abstract: Presenting a reviewer feedback of a document, one aspect, may comprise retrieving a plurality of feedback on a document, each feedback having an associated reviewer who provided the feedback. Social data associated with the reviewer of the feedback may be obtained. A plurality of characteristics associated with the feedback may be identified, at least some of the characteristics identified based on the social data. The characteristics may include at least the associated reviewer's position in an organization hierarchy, the reviewer's expertise, frequency of the feedback, impact of the feedback, and usefulness of the feedback. The plurality of feedback may be prioritized based on the plurality of characteristics, and a list of prioritized feedback may be presented via a user interface.

Abstract: A method and a system for profiling social trendsetters on a communications network includes monitoring social networking communications on a communications network using a program executable by a computer. The program monitors social networking communications for a topic of conversation in messages by a plurality of users. The messages are analyzed for relation to the topic of conversation and for topic information based on a specified criteria. The program determines a role for each of the plurality of users based on the topic information, and indicates the roles for each of the users, respectively, and may indicate the roles and associated people pertaining to particular topics.

Abstract: A method and a system for profiling social trendsetters on a communications network includes monitoring social networking communications on a communications network using a program executable by a computer. The program monitors social networking communications for a topic of conversation in messages by a plurality of users. The messages are analyzed for relation to the topic of conversation and for topic information based on a specified criteria. The program determines a role for each of the plurality of users based on the topic information, and indicates the roles for each of the users, respectively, and may indicate the roles and associated people pertaining to particular topics.