Abstract: In big data on measuring relationships between number of objects in Wikipedia whose pages can be considered as separate objects. Most of the users does not know searching using Google and donít know about Wikipedia website. Previously searched data is used in reducing the real time traffic; thereby it changes traffic situations automatically. In our proposed system we included the distributed scenarios with the global traffic prediction. Using the maximum generalized flow technique , the three concepts such as distance, connectivity, and clustering is used in our method. External and internal relationship methods are targeted , .Mining elucidatory objects would open a novel way to deeply understand a relationship.
Keywords: Mining Of Wikipedia, separate objects relationship on Mining, Analysis on link, Maximum Generalized Flow.