User Influence on Knowledge Grid Model among Big Data Community to Promote Knowledge Sharing

The significance of big data has benefited various organizations to improve their decision making, services and, productivity, while knowledge grid provides the platform to effectively capture, share, publish and manage knowledge resources to answer the questions from masses of data. However, the user's role in these process and it influences still unclear. Therefore, this paper aimed to analyses the users impact in knowledge grid components in big data community. In this way, the research narrows the big data community members to data scientists who are able to make the structure for large quantities of formless data. This study flows the user's roles from the human layer of knowledge grid to the other layers and combined it findings with user's expectation of suitable model to promote knowledge sharing to clear the community member's roles from the first step of designing a knowledge grid model till the facilitating knowledge sharing.