Business graph engine for connection recommendations

A computer program product comprising at least one recordable medium having stored thereon executable instructions and data which, when executed by at least one processing device, cause the at least one processing device to:

• receive connection network data from first and second social networking systems, where the connection network data defines a first plurality of entities connected to at least a first user by a plurality of social network connections;
• preprocess newsfeed and/or corporate data with a plurality of natural language processing services to identify a second plurality of entities and topics in the newsfeed and/or corporate data;
• generate a relationship map as a business graph data structure which defines relationships between at least the first user and each entity in the first plurality of entities and the second plurality of entities;
• and
• apply one or more query processing services to generate a search report in response to a business connection search query from the first user, where the search report comprises an aggregated view of a contact panel and a news panel, where the contact panel is populated with business connection recommendations from the business graph data structure which correspond to the business connection search query, and where the news panel is populated with one or more newsfeed articles which correspond to the business connection search query and which are tagged with a sentiment score and one or more entity and topic tags.

A system comprising:

• one or more processors;
• a memory coupled to at least one of the processors;
• and
• a set of instructions stored in the memory and executed by at least one of the processors to enhance operable functionality of a software program for recommending business recommendations, wherein the set of instructions are executable to perform actions of:
• receiving connection network data from first and second social networking systems, where the connection network data defines a first plurality of entities connected to at least a first user by a plurality of social network connections;
• preprocessing newsfeed and/or corporate data with a plurality of natural language processing services to identify a second plurality of entities and topics in the newsfeed and/or corporate data;
• generating a relationship map as a business graph data structure which defines relationships between at least the first user and each entity in the first plurality of entities and the second plurality of entities;
• and
• applying one or more query processing services to generate a search report in response to a business connection search query from the first user, where the search report comprises an aggregated view of a contact panel and a news panel, where the contact panel is populated with business connection recommendations from the business graph data structure which correspond to the business connection search query, and where the news panel is populated with one or more newsfeed articles which correspond to the business connection search query and which are tagged with a sentiment score and one or more entity and topic tags.