Incorporating feedback in network graph hotspot identification

A system comprising:

• a processor;
• and
• a computer-readable storage medium communicatively coupled to the processor and storing program instructions which, when executed by the processor, are configured to cause the processor to:
• receive input data, wherein the input data includes a plurality of messages, each message containing a set of message data;
• generate, based on the plurality of messages, a network graph;
• identify, by a pattern detector, in the network graph, a first hotspot;
• compile a set of hotspot characteristics for the first hotspot;
• receive, in response to identifying the first hotspot, a first user feedback;
• generate, by a learning model, a hotspot confidence score for the first hotspot;
• and
• output, by a network interface, the hotspot confidence score and the network graph.

A computer program product, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processing unit to cause the processing unit to:

• receive input data, wherein the input data includes a plurality of messages, each message containing a set of message data;
• generate, based on the plurality of messages, a network graph;
• identify, by a pattern detector, in the network graph, a first hotspot;
• compile a set of hotspot characteristics for the first hotspot;
• receive, in response to identifying the first hotspot, a first user feedback;
• generate, by a learning model, a hotspot confidence score for the first hotspot;
• and
• output, by a network interface, the hotspot confidence score and the network graph.