1. A method for analyzing content associated with social network influencers, the method comprising: identifying, by an influencer analyzing computing device, key influencers with respect to a topic of interest in at least one social network; creating, by the influencer analyzing computing device, an influencer topic cloud for each of the key influencers and an overall topic cloud for the topic of interest, wherein each of the influencer topic clouds comprises at least one of a cloud of related topics with weights or a cloud of general topics with weights; cross-verifying, by the influencer analyzing computing device, the identification of the key influencers, the cross-verifying comprising at least comparing one or more attributes of each of the influencer topic clouds with the overall topic cloud; determining, by the influencer analyzing computing device, a volume of social interaction of the key influencers with respect to the topic of interest, wherein the volume of the social interaction comprises interaction with peers and interaction with followers; and generating, by the influencer analyzing computing device, a visualization of the volume of the social interaction of the key influencers.
1. A method for analyzing content associated with social network influencers, the method comprising: identifying, by an influencer analyzing computing device, key influencers with respect to a topic of interest in at least one social network; creating, by the influencer analyzing computing device, an influencer topic cloud for each of the key influencers and an overall topic cloud for the topic of interest, wherein each of the influencer topic clouds comprises at least one of a cloud of related topics with weights or a cloud of general topics with weights; cross-verifying, by the influencer analyzing computing device, the identification of the key influencers, the cross-verifying comprising at least comparing one or more attributes of each of the influencer topic clouds with the overall topic cloud; determining, by the influencer analyzing computing device, a volume of social interaction of the key influencers with respect to the topic of interest, wherein the volume of the social interaction comprises interaction with peers and interaction with followers; and generating, by the influencer analyzing computing device, a visualization of the volume of the social interaction of the key influencers. 2. The method as claimed in claim 1 , further comprising clustering, by the influencer analyzing computing device, the key influencers, the clustering comprising at least comparing the influencer topic clouds with each other based on the one or more attributes.