Abstract: Techniques are provided for predicting talent flow to and/or from a geographical region. In one technique, multiple entity profiles are stored and analyzed to generate training data that is labeled indicating whether a corresponding entity has moved to or moved from a region. A machine-learned prediction model is generated or trained based on the training data. Using the machine-learned prediction model, a prediction is made whether, for each entity corresponding to another entity profile, that entity will move to or move from a particular geographic region. Based on multiple predictions, a number of entities that are predicted to move to or move from the particular geographic region is determined. Talent flow data that is based on the number of entities is presented on a computer display.

Abstract: Techniques are provided for predicting talent flow to and/or from a geographical region. In one technique, multiple entity profiles are stored and analyzed to generate training data that is labeled indicating whether a corresponding entity has moved to or moved from a region. A machine-learned prediction model is generated or trained based on the training data. Using the machine-learned prediction model, a prediction is made whether, for each entity corresponding to another entity profile, that entity will move to or move from a particular geographic region. Based on multiple predictions, a number of entities that are predicted to move to or move from the particular geographic region is determined. Talent flow data that is based on the number of entities is presented on a computer display.

Abstract: Techniques are provided for displaying information about entities in a social network. An analysis of profiles of multiple representatives is performed. Each representative is registered with a social network provider and represents an organization from multiple organizations. Based on the analysis, the organizations are ranked. Data about a subset of the organizations is presented, based on the ranking, through a user interface. A user selects an indicator that is associated with a particular organization of the multiple organizations. In response to the input, a subset of the representatives is identified. One or more scores that were generated for a particular representative in the subset are determined. Data about the subset of the representatives is caused to be presented through the user interface. The data identifies the one or more scores and associates the one or more scores with the particular representative.

Abstract: One or more techniques and/or systems are provided for providing a discussion summary corresponding to a search query and/or for providing discussion session search results. For example, discussion data (e.g., corresponding to real-time messaging, such as a microblog discussion) may be evaluated to identify a discussion topic for a discussion sessions (e.g., a kitchen renovation topic may be assigned to a 1 hour exchange of kitchen renovation messages by a discussion group). A discussion summary of a discussion session may be provided based upon the discussion session having a discussion topic corresponding to a search query topic of a search query. The discussion summary may be provided along with other results for the query and may describe the discussion group, identifiers such as hashtags used by the discussion group, meeting dates/times, average number(s) of participants, other discussion sessions hosted by the discussion group, future discussion sessions, and/or other information.