OLAP operators for social network analysis

Abstract

The multidimensional data model and implementations of social networks come with a set of specific constraints, such as missing data, reflexive relationship on fact instance. However, the conventional OLAP operators and existing models do not provide solutions for handling those specificities. Therefore, we should invest further efforts to extend these operators to take into consideration the specificities of multidimensional modeling of tweets as well as their manipulation. Face to this issue, we propose, in this paper, new OLAP operators that enhance existing solutions for OLAP analyses involving a reflexive relationship on the fact instances and dealing with missing values on dimension members. For each OLAP operator, we suggest a user-oriented definition as an algebraic formalization, along with an implementation algorithmic. Keywords Social network analysis Á OLAP operators Á Null-Drilldown Á Null-Rollup Á Null-Select Á FDrilldown Á FRollup

Developing Conception about Differences between OLAP And Data Mining

“…This can be said as the vice-versa of the top down approach. The data mining process involves the in-depth analysis of data with the help available input data [15]. This helps an organization in making better decisions and giving better predictions.…”