Mining and Analysis of Periodic Patterns in Weighted Directed Dynamic Network

Anand Gupta, Hardeo Kumar Thakur, Anshul Garg and Disha Garg
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Anand Gupta: Department of Computer Engineering, Netaji Subhas Institute of Technology, New Delhi, India
Hardeo Kumar Thakur: Department of Computer Engineering, Netaji Subhas Institute of Technology, New Delhi, India
Anshul Garg: Department of Information Technology, Netaji Subhas Institute of Technology, New Delhi, India
Disha Garg: Department of Information Technology, Netaji Subhas Institute of Technology, New Delhi, India

International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), 2016, vol. 7, issue 1, 1-26

Abstract: Periodic patterns are mined individually on structural and weight aspects of an interaction in a dynamic network. However, these interactions possess a direction aspect too. Moreover, some applications require patterns on both aspects i) on direction and ii) on weight of directed interactions for a better understanding of their behaviour. To the authors' knowledge, no such work is available that mines both types of periodic patterns in a single run. To overcome this limitation, the authors propose a framework to mine periodic patterns on both the aspects. The framework first mines periodic patterns on direction, and then only the edges present in the patterns obtained are considered further for patterns on weight of directed interactions. Further, the patterns are being analysed to develop a better understanding of the dynamic network. To do so, a set of six parameters explained later in the text is proposed to study the behaviour of interactions at microscopic level. The framework is tested on real world and synthetic datasets. The results highlight its practical scalability and prove its efficiency.

Date: 2016
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