Structural Perspective Analysis for Big Data As A Networks

초록

The stupendously growth of Big Data as a networks (BaaN) has had a constructive impact on a wide variety of information technology applications, but it has resulted in inefficient effects due to data indiscriminate property and pattern findings thereon. In these environment, Big Data inevitably contains not only the reliable data but also the unreliable or worthless data, so the analysis and naive use of Big Data may have an undesirable impact on the results and inoperable speed-downs due to trash information processing. In this study, we pointed out the problem that the reliability of network structure is insufficient and the use of unworthy data results in very inefficient results. We verify the importance of the problem by experiments about fundamental network techniques related various applications.