Research Approaches for Building Analytics in Social Network towards Crowdsourcing

Abstract

Contribution of social network is not only limited to inter-personal relationship, but there are increasing number of research works carried out towards other arena of commercial applications harnessing the potential of social network. Irrespective of decades of work being carried out in social networking, the idea of using social networking towards crowdsourcing has not received much attention owing to different levels of research challenges. Existing studies have no reported discussion about this and therefore, this paper contributes towards exploring the strength and weakness of existing approaches of building analytics on social networking in order to understand the possible challenges that crowdsourcing encounters while dealing massive and unstructured data. The paper also contributes towards illustrating research trends highlighting the possible limitations.