Measuring the influence of entities over an audience on a topic

A computer implemented method comprising:

• receiving an influencer request identifying an audience, a topic, and a date range;
• simultaneously calculating a component influence feature score for each audience member of the audience corresponding to the topic and date range, wherein calculating the component influence feature scores comprises:
• simultaneously determining a sentiment flipping influence feature score for each audience member corresponding to the topic and the date range, and storing the sentiment flipping influence feature scores in accessible computer memory;
• simultaneously determining a hashtag pioneer influence feature score for each audience member corresponding to the topic and the date range, and storing the hashtag pioneer influence feature scores in accessible computer memory;
• simultaneously determining a followership conversion influence feature score for each audience member corresponding to the topic and the date range, and storing the followership conversion influence feature scores in accessible computer memory;
• simultaneously determining an effectiveness and phrasing influence feature score for each audience member corresponding to the topic and the date range, and storing the effectiveness and phrasing influence feature scores in accessible computer memory;
• comparing one of the component influence scores for at least one audience member with a first predetermined threshold value, and increasing the one component influence score for the at least one audience member in response to the one component influence score being above the first predetermined threshold value;
• comparing one of the component influence scores for at least one audience member with a second predetermined threshold value, and decreasing the one component influence score for the at least one audience member in response to the one component influence score being below the second predetermined threshold value;
• determining a total influence score for each audience member corresponding to the topic and the date range based on all of the component influence feature scores stored in the computer memory;
• and
• in accordance with the influencer request, identifying one or more audience members as the influencers of the selected audience on the selected topic within the selected date range, based on the total influence scores of each audience member.