SCHONA: A scholar persona system based on academic social network

Abstract

Recently, social network including academic social network has developed rapidly. It is a challenge to utilize massive academic data including academic social network data and academic achievement data to analyze and mine scholars’ important information such as behavioral characteristics and research interests. In this paper, we present a scholar persona system SCHONA which is composed of two parts, data collection and scholar labels generation. It collects three types of data first and finally generates the labels which can accurately represent scholars by extensively using big data analysis methods such as Word2Vec, K-means and TextRank.