An Experimental Study of Factor Analysis over Cellular Network Data Feyzullah Kalyoncu, Engin Zeydan, Ahmet Yildirim and Ibrahim Onuralp Yigit Turk¨ Telekom Labs, Istanbul, Turkey 34889 E-mail: ffeyzullah.kalyoncu, engin.zeydan,
[email protected],
[email protected] Abstract—Mobile Network Operators (MNOs) are evolving to- at cell level such as [2], [3], [4], [5] and profiling the user wards becoming data-driven, while delivering capacity to collect behaviour at different time scales such as [6], [7] based on and analyze data. This can help in enhancing user experiences mobile traffic demand exist in the literature. An analysis that while empowering the operation workforce and building new business models. Mobile traffic demands of users can give relies on Exploratory Factor Analysis (EFA) using with real- insights to MNOs to plan, decide and act depending on network world mobile traffic dataset for Milan and Paris cities are conditions. In this paper, we investigate the behaviour of Istanbul performed in [6]. The results reveal different network activity residents using the cellular network traffic activity over spatial profiles in those two major European cities. In this paper, we and temporal dimensions via exploratory factor analysis (EFA) further extend the EFA presented for Milan and Paris cities using a major MNO’s cellular network traffic data in Turkey. Our results reveal various time and spatial patterns for Istanbul and study network activity profiles of Istanbul using real-world residents such as morning and evening commuting factors, mobile traffic dataset of a major MNO in Turkey. Compared business and residential factors as well as nightlife and weekend to previous works in mobile data analysis, our results reveal afternoon factors as the most prominent cultural behaviour.