Applications of graph theory in the intellectual techniques of social media analysis for monitoring of candidates popularity during elections period.

Abstract

Applications of graph theory in the intellectual techniques of social media analysis for monitoring of candidates popularity during elections period.

Nosko V.I.

Incoming article date: 22.09.2014

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.

Keywords: social network graph, data mining, big data, opinions graph, presidential candidates, graph theory, social network analysis