Affiliation:
1. Manav Rachna University, India
2. Netaji Subhas Institute of Technology, India
Abstract
The periodic interactions represented as a dynamic network possess two aspects: structure and weight. This chapter introduces and explores the use of a third aspect that is associated with the periodic interactions, namely the directional aspect. Moreover, the authors have showcased how some applications require mining of patterns on both aspects—1) on direction and 2) on weight of directed interactions—for a better understanding of their behavior. With the aim of overcoming the limitation of existing frameworks, which only mine periodic patterns individually, a framework is proposed to mine periodic patterns on both the aspects together. Further, the patterns are analyzed to develop a better understanding of the dynamic network. A set of six parameters, defined later in the chapter, are used to conduct a microscopic study on the behavior of interactions. The framework is tested on real world and synthetic datasets. The results highlight its practical scalability and prove its efficiency.