Users' classification and usage-pattern identification in academic social networks

Abstract

Academic social networking sites are becoming increasingly popular. Several groups of academic people at different level of their career and from different disciplines are utilizing them for their benefit. This paper aims to explore usage patterns of an academic Social Networking Site (SNS) (namely Academia.edu) by different groups of academic users. It gains its importance because of the lack of academic social networking sites studies especially those concerning different user types and usage patterns of academic social networking sites.