Applications of graph theory in the intellectual techniques of social media analysis for monitoring of candidates popularity during elections period
We analyze social network graph to identify popularity distribution between ukrainian presidential candidates during elections period. In the first part of the paper we descibe 2 graph layouts: candidates in-degree and bloggers in-degree. It is stated, that with the help of such data mining one can answer community-centric questions: community clusters, that mention same candidates, structure of such mentions, particular bloggers, that mention particular candidates.